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1.442-.379.179-.2.308-.578.308-1.371 0-.765-.123-1.242-.37-1.554-.233-.296-.693-.587-1.713-.7Z"></path><path d="M6.25 9.037a.75.75 0 0 1 .75.75v1.501a.75.75 0 0 1-1.5 0V9.787a.75.75 0 0 1 .75-.75Zm4.25.75v1.501a.75.75 0 0 1-1.5 0V9.787a.75.75 0 0 1 1.5 0Z"></path></svg>GitHub Copilot</span><span class="Primer_Brand__Text-module__Text___XeGJJ Primer_Brand__Text-module__Text-font--mona-sans___a8XJD Primer_Brand__Text-module__Text--muted___rE6mh Primer_Brand__Text-module__Text--200____P1wy Primer_Brand__Text-module__Text--antialiased___TYoXS NavLink-module__subtitle__X4gkW">Write better code with AI</span></span></a></li><li><a class="Primer_Brand__Link-module__Link___lF11y Primer_Brand__Link-module__Link--default___VRVW0 NavLink-module__link__EG3d4" href="https://github.com/features/ai/github-app" 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class="Primer_Brand__Text-module__Text___XeGJJ Primer_Brand__Text-module__Text-font--mona-sans___a8XJD Primer_Brand__Text-module__Text--muted___rE6mh Primer_Brand__Text-module__Text--200____P1wy Primer_Brand__Text-module__Text--antialiased___TYoXS NavLink-module__subtitle__X4gkW">Direct agents from issue to merge</span></span></a></li><li><a class="Primer_Brand__Link-module__Link___lF11y Primer_Brand__Link-module__Link--default___VRVW0 NavLink-module__link__EG3d4" href="https://github.com/mcp" data-analytics-event="{&quot;action&quot;:&quot;mcp_registry&quot;,&quot;tag&quot;:&quot;link&quot;,&quot;context&quot;:&quot;platform&quot;,&quot;location&quot;:&quot;navbar&quot;,&quot;label&quot;:&quot;mcp_registry_link_platform_navbar&quot;}"><span class="Primer_Brand__Text-module__Text___XeGJJ Primer_Brand__Text-module__Text-font--mona-sans___a8XJD Primer_Brand__Text-module__Text--default___GhPh_ Primer_Brand__Text-module__Text--200____P1wy 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0 0 0-2.94 2.08 2.08 0 0 0-2.94 0l-4.799 4.8A.75.75 0 0 1 .72 5.92Z"></path><path d="M7.52 3.12a.749.749 0 1 1 1.06 1.06L5.731 7.03A2.079 2.079 0 0 0 8.67 9.97l2.85-2.85a.749.749 0 1 1 1.06 1.06l-2.849 2.85A3.578 3.578 0 0 1 4.67 5.97Z"></path></svg>MCP Registry</span><span class="Primer_Brand__Text-module__Text___XeGJJ Primer_Brand__Text-module__Text-font--mona-sans___a8XJD Primer_Brand__Text-module__Text--muted___rE6mh Primer_Brand__Text-module__Text--200____P1wy Primer_Brand__Text-module__Text--antialiased___TYoXS NavLink-module__subtitle__X4gkW">Integrate external tools</span></span></a></li></ul></div></li><li><div class="NavGroup-module__group__W8SqJ"><span class="Primer_Brand__Text-module__Text___XeGJJ Primer_Brand__Text-module__Text-font--monospace___QXHDQ Primer_Brand__Text-module__Text--muted___rE6mh Primer_Brand__Text-module__Text--100___B2ueX Primer_Brand__Text-module__Text--weight-medium___qJKf_ NavGroup-module__title__Wzxz2" id="_R_9knd_">DEVELOPER WORKFLOWS</span><ul 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Primer_Brand__Link-module__Link--label___jM8Ty"><span class="Primer_Brand__Text-module__Text___XeGJJ Primer_Brand__Text-module__Text-font--mona-sans___a8XJD Primer_Brand__Text-module__Text--default___GhPh_ Primer_Brand__Text-module__Text--200____P1wy Primer_Brand__Text-module__Text--antialiased___TYoXS Primer_Brand__Text-module__Text--weight-medium___qJKf_ NavLink-module__title__Q7t0p"><svg data-component="Octicon" aria-hidden="true" focusable="false" class="octicon octicon-codespaces NavLink-module__icon__ltGNM" viewBox="0 0 16 16" width="16" height="16" fill="currentColor" display="inline-block" overflow="visible" style="vertical-align:text-bottom"><path d="M0 11.25c0-.966.784-1.75 1.75-1.75h12.5c.966 0 1.75.784 1.75 1.75v3A1.75 1.75 0 0 1 14.25 16H1.75A1.75 1.75 0 0 1 0 14.25Zm2-9.5C2 .784 2.784 0 3.75 0h8.5C13.216 0 14 .784 14 1.75v5a1.75 1.75 0 0 1-1.75 1.75h-8.5A1.75 1.75 0 0 1 2 6.75Zm1.75-.25a.25.25 0 0 0-.25.25v5c0 .138.112.25.25.25h8.5a.25.25 0 0 0 .25-.25v-5a.25.25 0 0 0-.25-.25Zm-2 9.5a.25.25 0 0 0-.25.25v3c0 .138.112.25.25.25h12.5a.25.25 0 0 0 .25-.25v-3a.25.25 0 0 0-.25-.25Z"></path><path d="M7 12.75a.75.75 0 0 1 .75-.75h4.5a.75.75 0 0 1 0 1.5h-4.5a.75.75 0 0 1-.75-.75Zm-4 0a.75.75 0 0 1 .75-.75h.5a.75.75 0 0 1 0 1.5h-.5a.75.75 0 0 1-.75-.75Z"></path></svg>Codespaces</span><span class="Primer_Brand__Text-module__Text___XeGJJ Primer_Brand__Text-module__Text-font--mona-sans___a8XJD Primer_Brand__Text-module__Text--muted___rE6mh Primer_Brand__Text-module__Text--200____P1wy Primer_Brand__Text-module__Text--antialiased___TYoXS NavLink-module__subtitle__X4gkW">Instant dev environments</span></span></a></li><li><a class="Primer_Brand__Link-module__Link___lF11y Primer_Brand__Link-module__Link--default___VRVW0 NavLink-module__link__EG3d4" href="https://github.com/features/issues" 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NavLink-module__icon__ltGNM" viewBox="0 0 16 16" width="16" height="16" fill="currentColor" display="inline-block" overflow="visible" style="vertical-align:text-bottom"><path d="m11.28 3.22 4.25 4.25a.75.75 0 0 1 0 1.06l-4.25 4.25a.749.749 0 0 1-1.275-.326.749.749 0 0 1 .215-.734L13.94 8l-3.72-3.72a.749.749 0 0 1 .326-1.275.749.749 0 0 1 .734.215Zm-6.56 0a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042L2.06 8l3.72 3.72a.749.749 0 0 1-.326 1.275.749.749 0 0 1-.734-.215L.47 8.53a.75.75 0 0 1 0-1.06Z"></path></svg>Code Review</span><span class="Primer_Brand__Text-module__Text___XeGJJ Primer_Brand__Text-module__Text-font--mona-sans___a8XJD Primer_Brand__Text-module__Text--muted___rE6mh Primer_Brand__Text-module__Text--200____P1wy Primer_Brand__Text-module__Text--antialiased___TYoXS NavLink-module__subtitle__X4gkW">Manage code changes</span></span></a></li><li><a class="Primer_Brand__Link-module__Link___lF11y Primer_Brand__Link-module__Link--default___VRVW0 NavLink-module__link__EG3d4" href="https://github.com/features/code-quality" data-analytics-event="{&quot;action&quot;:&quot;code_quality&quot;,&quot;tag&quot;:&quot;link&quot;,&quot;context&quot;:&quot;platform&quot;,&quot;location&quot;:&quot;navbar&quot;,&quot;label&quot;:&quot;code_quality_link_platform_navbar&quot;}"><span class="Primer_Brand__Text-module__Text___XeGJJ Primer_Brand__Text-module__Text-font--mona-sans___a8XJD Primer_Brand__Text-module__Text--default___GhPh_ Primer_Brand__Text-module__Text--200____P1wy Primer_Brand__Text-module__Text--antialiased___TYoXS Primer_Brand__Link-module__Link--label___jM8Ty"><span class="Primer_Brand__Text-module__Text___XeGJJ Primer_Brand__Text-module__Text-font--mona-sans___a8XJD Primer_Brand__Text-module__Text--default___GhPh_ Primer_Brand__Text-module__Text--200____P1wy Primer_Brand__Text-module__Text--antialiased___TYoXS Primer_Brand__Text-module__Text--weight-medium___qJKf_ NavLink-module__title__Q7t0p"><svg data-component="Octicon" aria-hidden="true" focusable="false" class="octicon octicon-codescan-checkmark NavLink-module__icon__ltGNM" viewBox="0 0 16 16" width="16" height="16" fill="currentColor" display="inline-block" overflow="visible" style="vertical-align:text-bottom"><path d="M10.28 6.28a.75.75 0 1 0-1.06-1.06L6.25 8.19l-.97-.97a.75.75 0 0 0-1.06 1.06l1.5 1.5a.75.75 0 0 0 1.06 0l3.5-3.5Z"></path><path d="M7.5 15a7.5 7.5 0 1 1 5.807-2.754l2.473 2.474a.749.749 0 0 1-.326 1.275.749.749 0 0 1-.734-.215l-2.474-2.473A7.472 7.472 0 0 1 7.5 15Zm0-13.5a6 6 0 1 0 4.094 10.386.748.748 0 0 1 .293-.292 6.002 6.002 0 0 0 1.117-6.486A6.002 6.002 0 0 0 7.5 1.5Z"></path></svg>Code Quality</span><span class="Primer_Brand__Text-module__Text___XeGJJ Primer_Brand__Text-module__Text-font--mona-sans___a8XJD Primer_Brand__Text-module__Text--muted___rE6mh Primer_Brand__Text-module__Text--200____P1wy Primer_Brand__Text-module__Text--antialiased___TYoXS NavLink-module__subtitle__X4gkW">Enforce quality at merge</span></span></a></li></ul></div></li><li><div class="NavGroup-module__group__W8SqJ"><span class="Primer_Brand__Text-module__Text___XeGJJ Primer_Brand__Text-module__Text-font--monospace___QXHDQ Primer_Brand__Text-module__Text--muted___rE6mh Primer_Brand__Text-module__Text--100___B2ueX Primer_Brand__Text-module__Text--weight-medium___qJKf_ NavGroup-module__title__Wzxz2" id="_R_dknd_">APPLICATION SECURITY</span><ul class="NavGroup-module__list__UCOFy" aria-labelledby="_R_dknd_"><li><a class="Primer_Brand__Link-module__Link___lF11y Primer_Brand__Link-module__Link--default___VRVW0 NavLink-module__link__EG3d4" href="https://github.com/security/advanced-security" data-analytics-event="{&quot;action&quot;:&quot;github_advanced_security&quot;,&quot;tag&quot;:&quot;link&quot;,&quot;context&quot;:&quot;platform&quot;,&quot;location&quot;:&quot;navbar&quot;,&quot;label&quot;:&quot;github_advanced_security_link_platform_navbar&quot;}"><span class="Primer_Brand__Text-module__Text___XeGJJ 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1-1.33 0c-2.447-1.042-4.049-2.357-5.032-3.855C1.32 10.182 1 8.566 1 7V3.48a1.75 1.75 0 0 1 1.217-1.667l5.25-1.68a1.748 1.748 0 0 1 1.066 0Zm-.61 1.429.001.001-5.25 1.68a.251.251 0 0 0-.174.237V7c0 1.36.275 2.666 1.057 3.859.784 1.194 2.121 2.342 4.366 3.298a.196.196 0 0 0 .154 0c2.245-.957 3.582-2.103 4.366-3.297C13.225 9.666 13.5 8.358 13.5 7V3.48a.25.25 0 0 0-.174-.238l-5.25-1.68a.25.25 0 0 0-.153 0ZM11.28 6.28l-3.5 3.5a.75.75 0 0 1-1.06 0l-1.5-1.5a.749.749 0 0 1 .326-1.275.749.749 0 0 1 .734.215l.97.97 2.97-2.97a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042Z"></path></svg>GitHub Advanced Security</span><span class="Primer_Brand__Text-module__Text___XeGJJ Primer_Brand__Text-module__Text-font--mona-sans___a8XJD Primer_Brand__Text-module__Text--muted___rE6mh Primer_Brand__Text-module__Text--200____P1wy Primer_Brand__Text-module__Text--antialiased___TYoXS NavLink-module__subtitle__X4gkW">Find and fix vulnerabilities</span></span></a></li><li><a class="Primer_Brand__Link-module__Link___lF11y Primer_Brand__Link-module__Link--default___VRVW0 NavLink-module__link__EG3d4" href="https://github.com/security/advanced-security/code-security" data-analytics-event="{&quot;action&quot;:&quot;code_security&quot;,&quot;tag&quot;:&quot;link&quot;,&quot;context&quot;:&quot;platform&quot;,&quot;location&quot;:&quot;navbar&quot;,&quot;label&quot;:&quot;code_security_link_platform_navbar&quot;}"><span class="Primer_Brand__Text-module__Text___XeGJJ Primer_Brand__Text-module__Text-font--mona-sans___a8XJD Primer_Brand__Text-module__Text--default___GhPh_ Primer_Brand__Text-module__Text--200____P1wy Primer_Brand__Text-module__Text--antialiased___TYoXS Primer_Brand__Link-module__Link--label___jM8Ty"><span class="Primer_Brand__Text-module__Text___XeGJJ Primer_Brand__Text-module__Text-font--mona-sans___a8XJD Primer_Brand__Text-module__Text--default___GhPh_ Primer_Brand__Text-module__Text--200____P1wy Primer_Brand__Text-module__Text--antialiased___TYoXS 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Primer_Brand__Text-module__Text-font--mona-sans___a8XJD Primer_Brand__Text-module__Text--muted___rE6mh Primer_Brand__Text-module__Text--200____P1wy Primer_Brand__Text-module__Text--antialiased___TYoXS NavLink-module__subtitle__X4gkW">Secure your code as you build</span></span></a></li><li><a class="Primer_Brand__Link-module__Link___lF11y Primer_Brand__Link-module__Link--default___VRVW0 NavLink-module__link__EG3d4" href="https://github.com/security/advanced-security/secret-protection" data-analytics-event="{&quot;action&quot;:&quot;secret_protection&quot;,&quot;tag&quot;:&quot;link&quot;,&quot;context&quot;:&quot;platform&quot;,&quot;location&quot;:&quot;navbar&quot;,&quot;label&quot;:&quot;secret_protection_link_platform_navbar&quot;}"><span class="Primer_Brand__Text-module__Text___XeGJJ Primer_Brand__Text-module__Text-font--mona-sans___a8XJD Primer_Brand__Text-module__Text--default___GhPh_ Primer_Brand__Text-module__Text--200____P1wy Primer_Brand__Text-module__Text--antialiased___TYoXS Primer_Brand__Link-module__Link--label___jM8Ty"><span class="Primer_Brand__Text-module__Text___XeGJJ Primer_Brand__Text-module__Text-font--mona-sans___a8XJD Primer_Brand__Text-module__Text--default___GhPh_ Primer_Brand__Text-module__Text--200____P1wy Primer_Brand__Text-module__Text--antialiased___TYoXS Primer_Brand__Text-module__Text--weight-medium___qJKf_ NavLink-module__title__Q7t0p"><svg data-component="Octicon" aria-hidden="true" focusable="false" class="octicon octicon-lock NavLink-module__icon__ltGNM" viewBox="0 0 16 16" width="16" height="16" fill="currentColor" display="inline-block" overflow="visible" style="vertical-align:text-bottom"><path d="M4 4a4 4 0 0 1 8 0v2h.25c.966 0 1.75.784 1.75 1.75v5.5A1.75 1.75 0 0 1 12.25 15h-8.5A1.75 1.75 0 0 1 2 13.25v-5.5C2 6.784 2.784 6 3.75 6H4Zm8.25 3.5h-8.5a.25.25 0 0 0-.25.25v5.5c0 .138.112.25.25.25h8.5a.25.25 0 0 0 .25-.25v-5.5a.25.25 0 0 0-.25-.25ZM10.5 6V4a2.5 2.5 0 1 0-5 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NavGroup-module__title__Wzxz2" id="_R_5l7d_">BY COMPANY SIZE</span><ul class="NavGroup-module__list__UCOFy" aria-labelledby="_R_5l7d_"><li><a class="Primer_Brand__Link-module__Link___lF11y Primer_Brand__Link-module__Link--default___VRVW0" href="https://github.com/enterprise" data-analytics-event="{&quot;action&quot;:&quot;enterprises&quot;,&quot;tag&quot;:&quot;link&quot;,&quot;context&quot;:&quot;solutions&quot;,&quot;location&quot;:&quot;navbar&quot;,&quot;label&quot;:&quot;enterprises_link_solutions_navbar&quot;}"><span class="Primer_Brand__Text-module__Text___XeGJJ Primer_Brand__Text-module__Text-font--mona-sans___a8XJD Primer_Brand__Text-module__Text--default___GhPh_ Primer_Brand__Text-module__Text--200____P1wy Primer_Brand__Text-module__Text--antialiased___TYoXS Primer_Brand__Link-module__Link--label___jM8Ty">Enterprises</span></a></li><li><a class="Primer_Brand__Link-module__Link___lF11y Primer_Brand__Link-module__Link--default___VRVW0" href="https://github.com/team" data-analytics-event="{&quot;action&quot;:&quot;small_and_medium_teams&quot;,&quot;tag&quot;:&quot;link&quot;,&quot;context&quot;:&quot;solutions&quot;,&quot;location&quot;:&quot;navbar&quot;,&quot;label&quot;:&quot;small_and_medium_teams_link_solutions_navbar&quot;}"><span class="Primer_Brand__Text-module__Text___XeGJJ Primer_Brand__Text-module__Text-font--mona-sans___a8XJD Primer_Brand__Text-module__Text--default___GhPh_ Primer_Brand__Text-module__Text--200____P1wy Primer_Brand__Text-module__Text--antialiased___TYoXS Primer_Brand__Link-module__Link--label___jM8Ty">Small and medium teams</span></a></li><li><a class="Primer_Brand__Link-module__Link___lF11y Primer_Brand__Link-module__Link--default___VRVW0" href="https://github.com/enterprise/startups" data-analytics-event="{&quot;action&quot;:&quot;startups&quot;,&quot;tag&quot;:&quot;link&quot;,&quot;context&quot;:&quot;solutions&quot;,&quot;location&quot;:&quot;navbar&quot;,&quot;label&quot;:&quot;startups_link_solutions_navbar&quot;}"><span class="Primer_Brand__Text-module__Text___XeGJJ Primer_Brand__Text-module__Text-font--mona-sans___a8XJD Primer_Brand__Text-module__Text--default___GhPh_ Primer_Brand__Text-module__Text--200____P1wy Primer_Brand__Text-module__Text--antialiased___TYoXS Primer_Brand__Link-module__Link--label___jM8Ty">Startups</span></a></li><li><a class="Primer_Brand__Link-module__Link___lF11y Primer_Brand__Link-module__Link--default___VRVW0" href="https://github.com/solutions/industry/nonprofits" data-analytics-event="{&quot;action&quot;:&quot;nonprofits&quot;,&quot;tag&quot;:&quot;link&quot;,&quot;context&quot;:&quot;solutions&quot;,&quot;location&quot;:&quot;navbar&quot;,&quot;label&quot;:&quot;nonprofits_link_solutions_navbar&quot;}"><span class="Primer_Brand__Text-module__Text___XeGJJ Primer_Brand__Text-module__Text-font--mona-sans___a8XJD Primer_Brand__Text-module__Text--default___GhPh_ Primer_Brand__Text-module__Text--200____P1wy Primer_Brand__Text-module__Text--antialiased___TYoXS Primer_Brand__Link-module__Link--label___jM8Ty">Nonprofits</span></a></li></ul></div></li><li><div class="NavGroup-module__group__W8SqJ"><span class="Primer_Brand__Text-module__Text___XeGJJ Primer_Brand__Text-module__Text-font--monospace___QXHDQ Primer_Brand__Text-module__Text--muted___rE6mh Primer_Brand__Text-module__Text--100___B2ueX Primer_Brand__Text-module__Text--weight-medium___qJKf_ NavGroup-module__title__Wzxz2" id="_R_9l7d_">BY USE CASE</span><ul class="NavGroup-module__list__UCOFy" aria-labelledby="_R_9l7d_"><li><a class="Primer_Brand__Link-module__Link___lF11y Primer_Brand__Link-module__Link--default___VRVW0" href="https://github.com/solutions/use-case/app-modernization" data-analytics-event="{&quot;action&quot;:&quot;app_modernization&quot;,&quot;tag&quot;:&quot;link&quot;,&quot;context&quot;:&quot;solutions&quot;,&quot;location&quot;:&quot;navbar&quot;,&quot;label&quot;:&quot;app_modernization_link_solutions_navbar&quot;}"><span class="Primer_Brand__Text-module__Text___XeGJJ Primer_Brand__Text-module__Text-font--mona-sans___a8XJD Primer_Brand__Text-module__Text--default___GhPh_ Primer_Brand__Text-module__Text--200____P1wy Primer_Brand__Text-module__Text--antialiased___TYoXS Primer_Brand__Link-module__Link--label___jM8Ty">App Modernization</span></a></li><li><a class="Primer_Brand__Link-module__Link___lF11y Primer_Brand__Link-module__Link--default___VRVW0" href="https://github.com/solutions/use-case/devsecops" data-analytics-event="{&quot;action&quot;:&quot;devsecops&quot;,&quot;tag&quot;:&quot;link&quot;,&quot;context&quot;:&quot;solutions&quot;,&quot;location&quot;:&quot;navbar&quot;,&quot;label&quot;:&quot;devsecops_link_solutions_navbar&quot;}"><span class="Primer_Brand__Text-module__Text___XeGJJ Primer_Brand__Text-module__Text-font--mona-sans___a8XJD Primer_Brand__Text-module__Text--default___GhPh_ Primer_Brand__Text-module__Text--200____P1wy Primer_Brand__Text-module__Text--antialiased___TYoXS Primer_Brand__Link-module__Link--label___jM8Ty">DevSecOps</span></a></li><li><a class="Primer_Brand__Link-module__Link___lF11y Primer_Brand__Link-module__Link--default___VRVW0" href="https://github.com/solutions/use-case/devops" data-analytics-event="{&quot;action&quot;:&quot;devops&quot;,&quot;tag&quot;:&quot;link&quot;,&quot;context&quot;:&quot;solutions&quot;,&quot;location&quot;:&quot;navbar&quot;,&quot;label&quot;:&quot;devops_link_solutions_navbar&quot;}"><span class="Primer_Brand__Text-module__Text___XeGJJ Primer_Brand__Text-module__Text-font--mona-sans___a8XJD Primer_Brand__Text-module__Text--default___GhPh_ Primer_Brand__Text-module__Text--200____P1wy Primer_Brand__Text-module__Text--antialiased___TYoXS Primer_Brand__Link-module__Link--label___jM8Ty">DevOps</span></a></li><li><a class="Primer_Brand__Link-module__Link___lF11y Primer_Brand__Link-module__Link--default___VRVW0" href="https://github.com/solutions/use-case/ci-cd" data-analytics-event="{&quot;action&quot;:&quot;ci/cd&quot;,&quot;tag&quot;:&quot;link&quot;,&quot;context&quot;:&quot;solutions&quot;,&quot;location&quot;:&quot;navbar&quot;,&quot;label&quot;:&quot;ci/cd_link_solutions_navbar&quot;}"><span class="Primer_Brand__Text-module__Text___XeGJJ Primer_Brand__Text-module__Text-font--mona-sans___a8XJD Primer_Brand__Text-module__Text--default___GhPh_ Primer_Brand__Text-module__Text--200____P1wy Primer_Brand__Text-module__Text--antialiased___TYoXS Primer_Brand__Link-module__Link--label___jM8Ty">CI/CD</span></a></li><li><a class="Primer_Brand__Link-module__Link___lF11y Primer_Brand__Link-module__Link--default___VRVW0 Primer_Brand__Link-module__Link--arrow-end___esdN8" href="https://github.com/solutions/use-case" data-analytics-event="{&quot;action&quot;:&quot;view_all_use_cases&quot;,&quot;tag&quot;:&quot;link&quot;,&quot;context&quot;:&quot;solutions&quot;,&quot;location&quot;:&quot;navbar&quot;,&quot;label&quot;:&quot;view_all_use_cases_link_solutions_navbar&quot;}"><span class="Primer_Brand__Text-module__Text___XeGJJ Primer_Brand__Text-module__Text-font--mona-sans___a8XJD Primer_Brand__Text-module__Text--default___GhPh_ Primer_Brand__Text-module__Text--200____P1wy Primer_Brand__Text-module__Text--antialiased___TYoXS Primer_Brand__Link-module__Link--label___jM8Ty">View all use cases</span><svg class="Primer_Brand__ExpandableArrow-module__ExpandableArrow___aaZs9 Primer_Brand__Link-module__Link-arrow___yd78i" width="16" height="16" viewBox="0 0 16 16" fill="none" aria-hidden="true" focusable="false"><path fill="currentColor" d="M7.28033 3.21967C6.98744 2.92678 6.51256 2.92678 6.21967 3.21967C5.92678 3.51256 5.92678 3.98744 6.21967 4.28033L7.28033 3.21967ZM11 8L11.5303 8.53033C11.8232 8.23744 11.8232 7.76256 11.5303 7.46967L11 8ZM6.21967 11.7197C5.92678 12.0126 5.92678 12.4874 6.21967 12.7803C6.51256 13.0732 6.98744 13.0732 7.28033 12.7803L6.21967 11.7197ZM6.21967 4.28033L10.4697 8.53033L11.5303 7.46967L7.28033 3.21967L6.21967 4.28033ZM10.4697 7.46967L6.21967 11.7197L7.28033 12.7803L11.5303 8.53033L10.4697 7.46967Z"></path><path class="Primer_Brand__ExpandableArrow-module__ExpandableArrow-stem___0K8Hz" stroke="currentColor" d="M1.75 8H11" stroke-width="1.5" stroke-linecap="round"></path></svg></a></li></ul></div></li><li><div class="NavGroup-module__group__W8SqJ"><span class="Primer_Brand__Text-module__Text___XeGJJ Primer_Brand__Text-module__Text-font--monospace___QXHDQ Primer_Brand__Text-module__Text--muted___rE6mh Primer_Brand__Text-module__Text--100___B2ueX Primer_Brand__Text-module__Text--weight-medium___qJKf_ NavGroup-module__title__Wzxz2" id="_R_dl7d_">BY INDUSTRY</span><ul class="NavGroup-module__list__UCOFy" aria-labelledby="_R_dl7d_"><li><a class="Primer_Brand__Link-module__Link___lF11y Primer_Brand__Link-module__Link--default___VRVW0" href="https://github.com/solutions/industry/healthcare" data-analytics-event="{&quot;action&quot;:&quot;healthcare&quot;,&quot;tag&quot;:&quot;link&quot;,&quot;context&quot;:&quot;solutions&quot;,&quot;location&quot;:&quot;navbar&quot;,&quot;label&quot;:&quot;healthcare_link_solutions_navbar&quot;}"><span class="Primer_Brand__Text-module__Text___XeGJJ Primer_Brand__Text-module__Text-font--mona-sans___a8XJD Primer_Brand__Text-module__Text--default___GhPh_ Primer_Brand__Text-module__Text--200____P1wy Primer_Brand__Text-module__Text--antialiased___TYoXS Primer_Brand__Link-module__Link--label___jM8Ty">Healthcare</span></a></li><li><a class="Primer_Brand__Link-module__Link___lF11y Primer_Brand__Link-module__Link--default___VRVW0" href="https://github.com/solutions/industry/financial-services" data-analytics-event="{&quot;action&quot;:&quot;financial_services&quot;,&quot;tag&quot;:&quot;link&quot;,&quot;context&quot;:&quot;solutions&quot;,&quot;location&quot;:&quot;navbar&quot;,&quot;label&quot;:&quot;financial_services_link_solutions_navbar&quot;}"><span class="Primer_Brand__Text-module__Text___XeGJJ Primer_Brand__Text-module__Text-font--mona-sans___a8XJD Primer_Brand__Text-module__Text--default___GhPh_ Primer_Brand__Text-module__Text--200____P1wy Primer_Brand__Text-module__Text--antialiased___TYoXS Primer_Brand__Link-module__Link--label___jM8Ty">Financial services</span></a></li><li><a class="Primer_Brand__Link-module__Link___lF11y Primer_Brand__Link-module__Link--default___VRVW0" href="https://github.com/solutions/industry/manufacturing" data-analytics-event="{&quot;action&quot;:&quot;manufacturing&quot;,&quot;tag&quot;:&quot;link&quot;,&quot;context&quot;:&quot;solutions&quot;,&quot;location&quot;:&quot;navbar&quot;,&quot;label&quot;:&quot;manufacturing_link_solutions_navbar&quot;}"><span class="Primer_Brand__Text-module__Text___XeGJJ Primer_Brand__Text-module__Text-font--mona-sans___a8XJD Primer_Brand__Text-module__Text--default___GhPh_ Primer_Brand__Text-module__Text--200____P1wy Primer_Brand__Text-module__Text--antialiased___TYoXS Primer_Brand__Link-module__Link--label___jM8Ty">Manufacturing</span></a></li><li><a class="Primer_Brand__Link-module__Link___lF11y Primer_Brand__Link-module__Link--default___VRVW0" href="https://github.com/solutions/industry/government" data-analytics-event="{&quot;action&quot;:&quot;government&quot;,&quot;tag&quot;:&quot;link&quot;,&quot;context&quot;:&quot;solutions&quot;,&quot;location&quot;:&quot;navbar&quot;,&quot;label&quot;:&quot;government_link_solutions_navbar&quot;}"><span class="Primer_Brand__Text-module__Text___XeGJJ Primer_Brand__Text-module__Text-font--mona-sans___a8XJD Primer_Brand__Text-module__Text--default___GhPh_ Primer_Brand__Text-module__Text--200____P1wy Primer_Brand__Text-module__Text--antialiased___TYoXS Primer_Brand__Link-module__Link--label___jM8Ty">Government</span></a></li><li><a class="Primer_Brand__Link-module__Link___lF11y Primer_Brand__Link-module__Link--default___VRVW0 Primer_Brand__Link-module__Link--arrow-end___esdN8" href="https://github.com/solutions/industry" data-analytics-event="{&quot;action&quot;:&quot;view_all_industries&quot;,&quot;tag&quot;:&quot;link&quot;,&quot;context&quot;:&quot;solutions&quot;,&quot;location&quot;:&quot;navbar&quot;,&quot;label&quot;:&quot;view_all_industries_link_solutions_navbar&quot;}"><span class="Primer_Brand__Text-module__Text___XeGJJ Primer_Brand__Text-module__Text-font--mona-sans___a8XJD Primer_Brand__Text-module__Text--default___GhPh_ Primer_Brand__Text-module__Text--200____P1wy Primer_Brand__Text-module__Text--antialiased___TYoXS Primer_Brand__Link-module__Link--label___jM8Ty">View all industries</span><svg class="Primer_Brand__ExpandableArrow-module__ExpandableArrow___aaZs9 Primer_Brand__Link-module__Link-arrow___yd78i" width="16" height="16" viewBox="0 0 16 16" fill="none" aria-hidden="true" focusable="false"><path fill="currentColor" d="M7.28033 3.21967C6.98744 2.92678 6.51256 2.92678 6.21967 3.21967C5.92678 3.51256 5.92678 3.98744 6.21967 4.28033L7.28033 3.21967ZM11 8L11.5303 8.53033C11.8232 8.23744 11.8232 7.76256 11.5303 7.46967L11 8ZM6.21967 11.7197C5.92678 12.0126 5.92678 12.4874 6.21967 12.7803C6.51256 13.0732 6.98744 13.0732 7.28033 12.7803L6.21967 11.7197ZM6.21967 4.28033L10.4697 8.53033L11.5303 7.46967L7.28033 3.21967L6.21967 4.28033ZM10.4697 7.46967L6.21967 11.7197L7.28033 12.7803L11.5303 8.53033L10.4697 7.46967Z"></path><path class="Primer_Brand__ExpandableArrow-module__ExpandableArrow-stem___0K8Hz" stroke="currentColor" d="M1.75 8H11" stroke-width="1.5" stroke-linecap="round"></path></svg></a></li></ul></div></li></ul><div class="NavDropdown-module__trailingLinkContainer__VgJGL"><a class="Primer_Brand__Link-module__Link___lF11y Primer_Brand__Link-module__Link--default___VRVW0 Primer_Brand__Link-module__Link--arrow-end___esdN8" href="https://github.com/solutions" data-analytics-event="{&quot;action&quot;:&quot;view_all_solutions&quot;,&quot;tag&quot;:&quot;link&quot;,&quot;context&quot;:&quot;solutions&quot;,&quot;location&quot;:&quot;navbar&quot;,&quot;label&quot;:&quot;view_all_solutions_link_solutions_navbar&quot;}"><span class="Primer_Brand__Text-module__Text___XeGJJ Primer_Brand__Text-module__Text-font--mona-sans___a8XJD Primer_Brand__Text-module__Text--default___GhPh_ Primer_Brand__Text-module__Text--200____P1wy Primer_Brand__Text-module__Text--antialiased___TYoXS Primer_Brand__Link-module__Link--label___jM8Ty">View all solutions</span><svg class="Primer_Brand__ExpandableArrow-module__ExpandableArrow___aaZs9 Primer_Brand__Link-module__Link-arrow___yd78i" width="16" height="16" viewBox="0 0 16 16" fill="none" aria-hidden="true" focusable="false"><path fill="currentColor" d="M7.28033 3.21967C6.98744 2.92678 6.51256 2.92678 6.21967 3.21967C5.92678 3.51256 5.92678 3.98744 6.21967 4.28033L7.28033 3.21967ZM11 8L11.5303 8.53033C11.8232 8.23744 11.8232 7.76256 11.5303 7.46967L11 8ZM6.21967 11.7197C5.92678 12.0126 5.92678 12.4874 6.21967 12.7803C6.51256 13.0732 6.98744 13.0732 7.28033 12.7803L6.21967 11.7197ZM6.21967 4.28033L10.4697 8.53033L11.5303 7.46967L7.28033 3.21967L6.21967 4.28033ZM10.4697 7.46967L6.21967 11.7197L7.28033 12.7803L11.5303 8.53033L10.4697 7.46967Z"></path><path class="Primer_Brand__ExpandableArrow-module__ExpandableArrow-stem___0K8Hz" stroke="currentColor" d="M1.75 8H11" stroke-width="1.5" stroke-linecap="round"></path></svg></a></div></div></div></li><li><div class="NavDropdown-module__container__l2YeI"><button type="button" class="NavDropdown-module__button__PEHWX" aria-expanded="false" aria-controls="_R_1nd_">Resources<svg data-component="Octicon" aria-hidden="true" focusable="false" class="octicon octicon-triangle-right NavDropdown-module__buttonIcon__Tkl8_" viewBox="0 0 16 16" width="16" height="16" fill="currentColor" display="inline-block" overflow="visible" style="vertical-align:text-bottom"><path d="m6.427 4.427 3.396 3.396a.25.25 0 0 1 0 .354l-3.396 3.396A.25.25 0 0 1 6 11.396V4.604a.25.25 0 0 1 .427-.177Z"></path></svg></button><div id="_R_1nd_" class="NavDropdown-module__dropdown__xm1jd"><ul class="NavDropdown-module__list__zuCgG"><li><div class="NavGroup-module__group__W8SqJ"><span class="Primer_Brand__Text-module__Text___XeGJJ Primer_Brand__Text-module__Text-font--monospace___QXHDQ Primer_Brand__Text-module__Text--muted___rE6mh Primer_Brand__Text-module__Text--100___B2ueX Primer_Brand__Text-module__Text--weight-medium___qJKf_ NavGroup-module__title__Wzxz2" id="_R_5lnd_">EXPLORE BY TOPIC</span><ul class="NavGroup-module__list__UCOFy" aria-labelledby="_R_5lnd_"><li><a class="Primer_Brand__Link-module__Link___lF11y Primer_Brand__Link-module__Link--default___VRVW0" href="https://github.com/resources/articles?topic=ai" data-analytics-event="{&quot;action&quot;:&quot;ai&quot;,&quot;tag&quot;:&quot;link&quot;,&quot;context&quot;:&quot;resources&quot;,&quot;location&quot;:&quot;navbar&quot;,&quot;label&quot;:&quot;ai_link_resources_navbar&quot;}"><span class="Primer_Brand__Text-module__Text___XeGJJ Primer_Brand__Text-module__Text-font--mona-sans___a8XJD Primer_Brand__Text-module__Text--default___GhPh_ Primer_Brand__Text-module__Text--200____P1wy Primer_Brand__Text-module__Text--antialiased___TYoXS Primer_Brand__Link-module__Link--label___jM8Ty">AI</span></a></li><li><a class="Primer_Brand__Link-module__Link___lF11y Primer_Brand__Link-module__Link--default___VRVW0" href="https://github.com/resources/articles?topic=software-development" data-analytics-event="{&quot;action&quot;:&quot;software_development&quot;,&quot;tag&quot;:&quot;link&quot;,&quot;context&quot;:&quot;resources&quot;,&quot;location&quot;:&quot;navbar&quot;,&quot;label&quot;:&quot;software_development_link_resources_navbar&quot;}"><span class="Primer_Brand__Text-module__Text___XeGJJ Primer_Brand__Text-module__Text-font--mona-sans___a8XJD Primer_Brand__Text-module__Text--default___GhPh_ Primer_Brand__Text-module__Text--200____P1wy Primer_Brand__Text-module__Text--antialiased___TYoXS Primer_Brand__Link-module__Link--label___jM8Ty">Software Development</span></a></li><li><a class="Primer_Brand__Link-module__Link___lF11y Primer_Brand__Link-module__Link--default___VRVW0" href="https://github.com/resources/articles?topic=devops" data-analytics-event="{&quot;action&quot;:&quot;devops&quot;,&quot;tag&quot;:&quot;link&quot;,&quot;context&quot;:&quot;resources&quot;,&quot;location&quot;:&quot;navbar&quot;,&quot;label&quot;:&quot;devops_link_resources_navbar&quot;}"><span class="Primer_Brand__Text-module__Text___XeGJJ Primer_Brand__Text-module__Text-font--mona-sans___a8XJD Primer_Brand__Text-module__Text--default___GhPh_ Primer_Brand__Text-module__Text--200____P1wy Primer_Brand__Text-module__Text--antialiased___TYoXS Primer_Brand__Link-module__Link--label___jM8Ty">DevOps</span></a></li><li><a class="Primer_Brand__Link-module__Link___lF11y Primer_Brand__Link-module__Link--default___VRVW0" href="https://github.com/resources/articles?topic=security" data-analytics-event="{&quot;action&quot;:&quot;security&quot;,&quot;tag&quot;:&quot;link&quot;,&quot;context&quot;:&quot;resources&quot;,&quot;location&quot;:&quot;navbar&quot;,&quot;label&quot;:&quot;security_link_resources_navbar&quot;}"><span class="Primer_Brand__Text-module__Text___XeGJJ Primer_Brand__Text-module__Text-font--mona-sans___a8XJD Primer_Brand__Text-module__Text--default___GhPh_ Primer_Brand__Text-module__Text--200____P1wy Primer_Brand__Text-module__Text--antialiased___TYoXS Primer_Brand__Link-module__Link--label___jM8Ty">Security</span></a></li><li><a class="Primer_Brand__Link-module__Link___lF11y Primer_Brand__Link-module__Link--default___VRVW0 Primer_Brand__Link-module__Link--arrow-end___esdN8" 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class="Primer_Brand__Text-module__Text___XeGJJ Primer_Brand__Text-module__Text-font--mona-sans___a8XJD Primer_Brand__Text-module__Text--default___GhPh_ Primer_Brand__Text-module__Text--200____P1wy Primer_Brand__Text-module__Text--antialiased___TYoXS Primer_Brand__Link-module__Link--label___jM8Ty">Collections</span></a></li></ul></div></li></ul></div></div></li><li><div class="NavDropdown-module__container__l2YeI"><button type="button" class="NavDropdown-module__button__PEHWX" aria-expanded="false" aria-controls="_R_2nd_">Enterprise<svg data-component="Octicon" aria-hidden="true" focusable="false" class="octicon octicon-triangle-right NavDropdown-module__buttonIcon__Tkl8_" viewBox="0 0 16 16" width="16" height="16" fill="currentColor" display="inline-block" overflow="visible" style="vertical-align:text-bottom"><path d="m6.427 4.427 3.396 3.396a.25.25 0 0 1 0 .354l-3.396 3.396A.25.25 0 0 1 6 11.396V4.604a.25.25 0 0 1 .427-.177Z"></path></svg></button><div id="_R_2nd_" 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1.75 0 0 1-1.756 0L2.119 5.456a1.251 1.251 0 0 1 0-2.162ZM8.125 1.69a.248.248 0 0 0-.25 0l-4.63 2.685 4.63 2.685a.248.248 0 0 0 .25 0l4.63-2.685ZM1.601 7.789a.75.75 0 0 1 1.025-.273l5.249 3.044a.248.248 0 0 0 .25 0l5.249-3.044a.75.75 0 0 1 .752 1.298l-5.248 3.044a1.75 1.75 0 0 1-1.756 0L1.874 8.814A.75.75 0 0 1 1.6 7.789Zm0 3.5a.75.75 0 0 1 1.025-.273l5.249 3.044a.248.248 0 0 0 .25 0l5.249-3.044a.75.75 0 0 1 .752 1.298l-5.248 3.044a1.75 1.75 0 0 1-1.756 0l-5.248-3.044a.75.75 0 0 1-.273-1.025Z"></path></svg>Enterprise platform</span><span class="Primer_Brand__Text-module__Text___XeGJJ Primer_Brand__Text-module__Text-font--mona-sans___a8XJD Primer_Brand__Text-module__Text--muted___rE6mh Primer_Brand__Text-module__Text--200____P1wy Primer_Brand__Text-module__Text--antialiased___TYoXS NavLink-module__subtitle__X4gkW">AI-powered developer platform</span></span></a></li></ul></div></li><li><div class="NavGroup-module__group__W8SqJ"><span class="Primer_Brand__Text-module__Text___XeGJJ 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1.217-1.667l5.25-1.68a1.748 1.748 0 0 1 1.066 0Zm-.61 1.429.001.001-5.25 1.68a.251.251 0 0 0-.174.237V7c0 1.36.275 2.666 1.057 3.859.784 1.194 2.121 2.342 4.366 3.298a.196.196 0 0 0 .154 0c2.245-.957 3.582-2.103 4.366-3.297C13.225 9.666 13.5 8.358 13.5 7V3.48a.25.25 0 0 0-.174-.238l-5.25-1.68a.25.25 0 0 0-.153 0ZM11.28 6.28l-3.5 3.5a.75.75 0 0 1-1.06 0l-1.5-1.5a.749.749 0 0 1 .326-1.275.749.749 0 0 1 .734.215l.97.97 2.97-2.97a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042Z"></path></svg>GitHub Advanced Security</span><span class="Primer_Brand__Text-module__Text___XeGJJ Primer_Brand__Text-module__Text-font--mona-sans___a8XJD Primer_Brand__Text-module__Text--muted___rE6mh Primer_Brand__Text-module__Text--200____P1wy Primer_Brand__Text-module__Text--antialiased___TYoXS NavLink-module__subtitle__X4gkW">Enterprise-grade security features</span></span></a></li><li><a class="Primer_Brand__Link-module__Link___lF11y Primer_Brand__Link-module__Link--default___VRVW0 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NavLink-module__title__Q7t0p"><svg data-component="Octicon" aria-hidden="true" focusable="false" class="octicon octicon-copilot NavLink-module__icon__ltGNM" viewBox="0 0 16 16" width="16" height="16" fill="currentColor" display="inline-block" overflow="visible" style="vertical-align:text-bottom"><path d="M7.998 15.035c-4.562 0-7.873-2.914-7.998-3.749V9.338c.085-.628.677-1.686 1.588-2.065.013-.07.024-.143.036-.218.029-.183.06-.384.126-.612-.201-.508-.254-1.084-.254-1.656 0-.87.128-1.769.693-2.484.579-.733 1.494-1.124 2.724-1.261 1.206-.134 2.262.034 2.944.765.05.053.096.108.139.165.044-.057.094-.112.143-.165.682-.731 1.738-.899 2.944-.765 1.23.137 2.145.528 2.724 1.261.566.715.693 1.614.693 2.484 0 .572-.053 1.148-.254 1.656.066.228.098.429.126.612.012.076.024.148.037.218.924.385 1.522 1.471 1.591 2.095v1.872c0 .766-3.351 3.795-8.002 3.795Zm0-1.485c2.28 0 4.584-1.11 5.002-1.433V7.862l-.023-.116c-.49.21-1.075.291-1.727.291-1.146 0-2.059-.327-2.71-.991A3.222 3.222 0 0 1 8 6.303a3.24 3.24 0 0 1-.544.743c-.65.664-1.563.991-2.71.991-.652 0-1.236-.081-1.727-.291l-.023.116v4.255c.419.323 2.722 1.433 5.002 1.433ZM6.762 2.83c-.193-.206-.637-.413-1.682-.297-1.019.113-1.479.404-1.713.7-.247.312-.369.789-.369 1.554 0 .793.129 1.171.308 1.371.162.181.519.379 1.442.379.853 0 1.339-.235 1.638-.54.315-.322.527-.827.617-1.553.117-.935-.037-1.395-.241-1.614Zm4.155-.297c-1.044-.116-1.488.091-1.681.297-.204.219-.359.679-.242 1.614.091.726.303 1.231.618 1.553.299.305.784.54 1.638.54.922 0 1.28-.198 1.442-.379.179-.2.308-.578.308-1.371 0-.765-.123-1.242-.37-1.554-.233-.296-.693-.587-1.713-.7Z"></path><path d="M6.25 9.037a.75.75 0 0 1 .75.75v1.501a.75.75 0 0 1-1.5 0V9.787a.75.75 0 0 1 .75-.75Zm4.25.75v1.501a.75.75 0 0 1-1.5 0V9.787a.75.75 0 0 1 1.5 0Z"></path></svg>Copilot for Business</span><span class="Primer_Brand__Text-module__Text___XeGJJ Primer_Brand__Text-module__Text-font--mona-sans___a8XJD Primer_Brand__Text-module__Text--muted___rE6mh Primer_Brand__Text-module__Text--200____P1wy 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entry-content container-lg\" itemprop=\"text\"\u003e\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch1 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e算法模板\u003c/h1\u003e\u003ca id=\"user-content-算法模板\" class=\"anchor\" aria-label=\"Permalink: 算法模板\" href=\"#算法模板\"\u003e\u003csvg data-component=\"Octicon\" class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003e\u003ca target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"https://camo.githubusercontent.com/08b1f2e445a569684bdcd4014469c7abd25385588c20aa8bb77563c13822bb01/68747470733a2f2f696d672e667569626f6f6d2e636f6d2f696d672f7469746c652e706e67\"\u003e\u003cimg src=\"https://camo.githubusercontent.com/08b1f2e445a569684bdcd4014469c7abd25385588c20aa8bb77563c13822bb01/68747470733a2f2f696d672e667569626f6f6d2e636f6d2f696d672f7469746c652e706e67\" alt=\"来刷题了\" data-canonical-src=\"https://img.fuiboom.com/img/title.png\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\u003c/p\u003e\n\u003cp dir=\"auto\"\u003e算法模板，最科学的刷题方式，最快速的刷题路径，一个月从入门到 offer，你值得拥有 🐶~\u003c/p\u003e\n\u003cp dir=\"auto\"\u003e算法模板顾名思义就是刷题的套路模板，掌握了刷题模板之后，刷题也变得好玩起来了~\u003c/p\u003e\n\u003cblockquote\u003e\n\u003cp dir=\"auto\"\u003e此项目是自己找工作时，从 0 开始刷 LeetCode 的心得记录，通过各种刷题文章、专栏、视频等总结了一套自己的刷题模板。\u003c/p\u003e\n\u003cp dir=\"auto\"\u003e这个模板主要是介绍了一些通用的刷题模板，以及一些常见问题，如到底要刷多少题，按什么顺序来刷题，如何提高刷题效率等。\u003c/p\u003e\n\u003c/blockquote\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e在线文档\u003c/h2\u003e\u003ca id=\"user-content-在线文档\" class=\"anchor\" aria-label=\"Permalink: 在线文档\" href=\"#在线文档\"\u003e\u003csvg data-component=\"Octicon\" class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003e在线文档 Gitbook：\u003ca href=\"https://greyireland.gitbook.io/algorithm-pattern/\" rel=\"nofollow\"\u003e算法模板 🔥\u003c/a\u003e\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e核心内容\u003c/h2\u003e\u003ca id=\"user-content-核心内容\" class=\"anchor\" aria-label=\"Permalink: 核心内容\" href=\"#核心内容\"\u003e\u003csvg data-component=\"Octicon\" class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e入门篇 🐶\u003c/h3\u003e\u003ca id=\"user-content-入门篇-\" class=\"anchor\" aria-label=\"Permalink: 入门篇 🐶\" href=\"#入门篇-\"\u003e\u003csvg data-component=\"Octicon\" class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003ca href=\"/chenyu85/algorithm-pattern/blob/master/introduction/golang.md\"\u003ego 语言入门\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"/chenyu85/algorithm-pattern/blob/master/introduction/quickstart.md\"\u003e算法快速入门\u003c/a\u003e\u003c/li\u003e\n\u003c/ul\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e数据结构篇 🐰\u003c/h3\u003e\u003ca id=\"user-content-数据结构篇-\" class=\"anchor\" aria-label=\"Permalink: 数据结构篇 🐰\" href=\"#数据结构篇-\"\u003e\u003csvg data-component=\"Octicon\" class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003ca href=\"/chenyu85/algorithm-pattern/blob/master/data_structure/binary_tree.md\"\u003e二叉树\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"/chenyu85/algorithm-pattern/blob/master/data_structure/linked_list.md\"\u003e链表\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"/chenyu85/algorithm-pattern/blob/master/data_structure/stack_queue.md\"\u003e栈和队列\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"/chenyu85/algorithm-pattern/blob/master/data_structure/binary_op.md\"\u003e二进制\u003c/a\u003e\u003c/li\u003e\n\u003c/ul\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e基础算法篇 🐮\u003c/h3\u003e\u003ca id=\"user-content-基础算法篇-\" class=\"anchor\" aria-label=\"Permalink: 基础算法篇 🐮\" href=\"#基础算法篇-\"\u003e\u003csvg data-component=\"Octicon\" class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003ca href=\"/chenyu85/algorithm-pattern/blob/master/basic_algorithm/binary_search.md\"\u003e二分搜索\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"/chenyu85/algorithm-pattern/blob/master/basic_algorithm/sort.md\"\u003e排序算法\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"/chenyu85/algorithm-pattern/blob/master/basic_algorithm/dp.md\"\u003e动态规划\u003c/a\u003e\u003c/li\u003e\n\u003c/ul\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e算法思维 🦁\u003c/h3\u003e\u003ca id=\"user-content-算法思维-\" class=\"anchor\" aria-label=\"Permalink: 算法思维 🦁\" href=\"#算法思维-\"\u003e\u003csvg data-component=\"Octicon\" class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003ca href=\"/chenyu85/algorithm-pattern/blob/master/advanced_algorithm/recursion.md\"\u003e递归思维\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"/chenyu85/algorithm-pattern/blob/master/advanced_algorithm/slide_window.md\"\u003e滑动窗口思想\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"/chenyu85/algorithm-pattern/blob/master/advanced_algorithm/binary_search_tree.md\"\u003e二叉搜索树\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"/chenyu85/algorithm-pattern/blob/master/advanced_algorithm/backtrack.md\"\u003e回溯法\u003c/a\u003e\u003c/li\u003e\n\u003c/ul\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e心得体会\u003c/h2\u003e\u003ca id=\"user-content-心得体会\" class=\"anchor\" aria-label=\"Permalink: 心得体会\" href=\"#心得体会\"\u003e\u003csvg data-component=\"Octicon\" class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003e文章大部分是对题目的思路介绍，和一些问题的解析，有了思路还是需要自己手动写写的，所以每篇文章最后都有对应的练习题\u003c/p\u003e\n\u003cp dir=\"auto\"\u003e刷完这些练习题，基本对数据结构和算法有自己的认识体会，基本大部分面试题都能写得出来，国内的 BAT、TMD 应该都不是问题\u003c/p\u003e\n\u003cp dir=\"auto\"\u003e从 4 月份找工作开始，从 0 开始刷 LeetCode，中间大概花了一个半月(6 周)左右时间刷完 240 题。\u003c/p\u003e\n\u003cp dir=\"auto\"\u003e\u003ca target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"https://camo.githubusercontent.com/8ff2d17c73bed7580bc88242854e69c889647d64081f888555410c718c4b51f2/68747470733a2f2f696d672e667569626f6f6d2e636f6d2f696d672f6c656574636f64655f74696d652e706e67\"\u003e\u003cimg src=\"https://camo.githubusercontent.com/8ff2d17c73bed7580bc88242854e69c889647d64081f888555410c718c4b51f2/68747470733a2f2f696d672e667569626f6f6d2e636f6d2f696d672f6c656574636f64655f74696d652e706e67\" alt=\"一个半月刷完240题\" data-canonical-src=\"https://img.fuiboom.com/img/leetcode_time.png\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\u003c/p\u003e\n\u003cp dir=\"auto\"\u003e\u003ca target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"https://camo.githubusercontent.com/686a8bf7536a92f9948727765657c1ef7fd2cb242862be154467215687cbc1fe/68747470733a2f2f696d672e667569626f6f6d2e636f6d2f696d672f6c656574636f64655f7265636f72642e706e67\"\u003e\u003cimg src=\"https://camo.githubusercontent.com/686a8bf7536a92f9948727765657c1ef7fd2cb242862be154467215687cbc1fe/68747470733a2f2f696d672e667569626f6f6d2e636f6d2f696d672f6c656574636f64655f7265636f72642e706e67\" alt=\"刷题记录\" data-canonical-src=\"https://img.fuiboom.com/img/leetcode_record.png\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\u003c/p\u003e\n\u003cp dir=\"auto\"\u003e开始刷题时，确实是无从下手，因为从序号开始刷，刷到几道题就遇到 hard 的题型，会卡住很久，后面去评论区看别人怎么刷题，也去 Google 搜索最好的刷题方式，发现按题型刷题会舒服很多，基本一个类型的题目，一天能做很多，慢慢刷题也不再枯燥，做起来也很有意思，最后也收到不错的 offer（最后去了宇宙系）。\u003c/p\u003e\n\u003cp dir=\"auto\"\u003e回到最开始的问题，面试到底要刷多少题，其实这个取决于你想进什么样公司，你定的目标如果是国内一线大厂，个人感觉大概 200 至 300 题基本就满足大部分面试需要了。第二个问题是按什么顺序刷及如何提高效率，这个也是本 repo 的目的，给你指定了一个刷题的顺序，以及刷题的模板，有了方向和技巧后，就去动手吧~ 希望刷完之后，你也能自己总结一套属于自己的刷题模板，有所收获，有所成长~\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e推荐的刷题路径\u003c/h2\u003e\u003ca id=\"user-content-推荐的刷题路径\" class=\"anchor\" aria-label=\"Permalink: 推荐的刷题路径\" href=\"#推荐的刷题路径\"\u003e\u003csvg data-component=\"Octicon\" class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003e按此 repo 目录刷一遍，如果中间有题目卡住了先跳过，然后刷题一遍 LeetCode 探索基础卡片，最后快要面试时刷题一遍剑指 offer。\u003c/p\u003e\n\u003cp dir=\"auto\"\u003e为什么这么要这么刷，因为 repo 里面的题目是按类型归类，都是一些常见的高频题，很有代表性，大部分都是可以用模板加一点变形做出来，刷完后对大部分题目有基本的认识。然后刷一遍探索卡片，巩固一下一些基础知识点，总结这些知识点。最后剑指 offer 是大部分公司的出题源头，刷完面试中基本会遇到现题或者变形题，基本刷完这三部分，大部分国内公司的面试题应该就没什么问题了~\u003c/p\u003e\n\u003cp dir=\"auto\"\u003e1、 \u003ca href=\"https://greyireland.gitbook.io/algorithm-pattern/\" rel=\"nofollow\"\u003ealgorithm-pattern 练习题\u003c/a\u003e\u003c/p\u003e\n\u003cp dir=\"auto\"\u003e\u003ca target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"https://camo.githubusercontent.com/39d97a32ea71c3f68fcccfd1d7018f748aee03ef89fb71e5f646e6740ad2b928/68747470733a2f2f696d672e667569626f6f6d2e636f6d2f696d672f7265706f5f70726163746963652e706e67\"\u003e\u003cimg src=\"https://camo.githubusercontent.com/39d97a32ea71c3f68fcccfd1d7018f748aee03ef89fb71e5f646e6740ad2b928/68747470733a2f2f696d672e667569626f6f6d2e636f6d2f696d672f7265706f5f70726163746963652e706e67\" alt=\"练习题\" data-canonical-src=\"https://img.fuiboom.com/img/repo_practice.png\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\u003c/p\u003e\n\u003cp dir=\"auto\"\u003e2、 \u003ca href=\"https://leetcode-cn.com/explore/\" rel=\"nofollow\"\u003eLeetCode 卡片\u003c/a\u003e\u003c/p\u003e\n\u003cp dir=\"auto\"\u003e\u003ca target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"https://camo.githubusercontent.com/52739b1ee0f11b1077bb7b911981396971adde5a563b5442b4783df585218969/68747470733a2f2f696d672e667569626f6f6d2e636f6d2f696d672f6c656574636f64655f6578706c6f72652e706e67\"\u003e\u003cimg src=\"https://camo.githubusercontent.com/52739b1ee0f11b1077bb7b911981396971adde5a563b5442b4783df585218969/68747470733a2f2f696d672e667569626f6f6d2e636f6d2f696d672f6c656574636f64655f6578706c6f72652e706e67\" alt=\"探索卡片\" data-canonical-src=\"https://img.fuiboom.com/img/leetcode_explore.png\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\u003c/p\u003e\n\u003cp dir=\"auto\"\u003e3、 \u003ca href=\"https://leetcode-cn.com/problemset/lcof/\" rel=\"nofollow\"\u003e剑指 offer\u003c/a\u003e\u003c/p\u003e\n\u003cp dir=\"auto\"\u003e\u003ca target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"https://camo.githubusercontent.com/0d035143335287bc178d7e5d1e5032b33dfa5e85e4302b3cf1acc9a95d1f4386/68747470733a2f2f696d672e667569626f6f6d2e636f6d2f696d672f6c656574636f64655f6a7a6f666665722e706e67\"\u003e\u003cimg src=\"https://camo.githubusercontent.com/0d035143335287bc178d7e5d1e5032b33dfa5e85e4302b3cf1acc9a95d1f4386/68747470733a2f2f696d672e667569626f6f6d2e636f6d2f696d672f6c656574636f64655f6a7a6f666665722e706e67\" alt=\"剑指offer\" data-canonical-src=\"https://img.fuiboom.com/img/leetcode_jzoffer.png\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\u003c/p\u003e\n\u003cp dir=\"auto\"\u003e刷题时间可以合理分配，如果打算准备面试了，建议前面两部分 一个半月 （6 周）时间刷完，最后剑指 offer 半个月刷完，边刷可以边投简历进行面试，遇到不会的不用着急，往模板上套就对了，如果面试管给你提示，那就好好做，不要错过这大好机会~\u003c/p\u003e\n\u003cblockquote\u003e\n\u003cp dir=\"auto\"\u003e注意点：如果为了找工作刷题，遇到 hard 的题如果有思路就做，没思路先跳过，先把基础打好，再来刷 hard 可能效果会更好~\u003c/p\u003e\n\u003c/blockquote\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e面试资源\u003c/h2\u003e\u003ca id=\"user-content-面试资源\" class=\"anchor\" aria-label=\"Permalink: 面试资源\" href=\"#面试资源\"\u003e\u003csvg data-component=\"Octicon\" class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003e分享一些计算机的经典书籍，大部分对面试应该都有帮助，强烈推荐 🌝\u003c/p\u003e\n\u003cp dir=\"auto\"\u003e\u003ca href=\"https://github.com/greyireland/awesome-programming-books-1\"\u003e我看过的 100 本书\u003c/a\u003e\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e更新计划\u003c/h2\u003e\u003ca id=\"user-content-更新计划\" class=\"anchor\" aria-label=\"Permalink: 更新计划\" href=\"#更新计划\"\u003e\u003csvg data-component=\"Octicon\" class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003e持续更新中，觉得还可以的话点个 \u003cstrong\u003estar\u003c/strong\u003e 收藏呀 ⭐️~\u003c/p\u003e\n\u003cp dir=\"auto\"\u003e【 Github 】\u003ca href=\"https://github.com/greyireland/algorithm-pattern\"\u003ehttps://github.com/greyireland/algorithm-pattern\u003c/a\u003e ⭐️\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e完成打卡\u003c/h2\u003e\u003ca id=\"user-content-完成打卡\" class=\"anchor\" aria-label=\"Permalink: 完成打卡\" href=\"#完成打卡\"\u003e\u003csvg data-component=\"Octicon\" class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003e完成计划之后，可以提交 Pull requests，在下面添加自己的项目仓库，完成自己的算法模板打卡呀~\u003c/p\u003e\n\u003cmarkdown-accessiblity-table\u003e\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003e完成\u003c/th\u003e\n\u003cth\u003e用户\u003c/th\u003e\n\u003cth\u003e项目地址\u003c/th\u003e\n\u003c/tr\u003e\n\u003c/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e✅\u003c/td\u003e\n\u003ctd\u003e\u003ca href=\"https://github.com/wardseptember\"\u003ewardseptember\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e\u003ca href=\"https://github.com/wardseptember/notes\"\u003enotes(Java 实现)\u003c/a\u003e\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e🕒\u003c/td\u003e\n\u003ctd\u003e\u003ca href=\"https://github.com/dashidhy\"\u003edashidhy\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e\u003ca href=\"https://github.com/dashidhy/algorithm-pattern-python\"\u003ealgorithm-pattern-python(Python 实现)\u003c/a\u003e\u003c/td\u003e\n\u003c/tr\u003e\n\u003c/tbody\u003e\n\u003c/table\u003e\u003c/markdown-accessiblity-table\u003e\n\u003c/article\u003e","richTextTruncated":false,"renderedFileInfo":null,"symbols":{"timed_out":false,"not_analyzed":false,"symbols":[{"name":"算法模板","fully_qualified_name":"算法模板","kind":"section_1","ident_start":2,"ident_end":14,"extent_start":0,"extent_end":5849,"ident_utf16":{"start":{"line_number":0,"utf16_col":2},"end":{"line_number":0,"utf16_col":6}},"extent_utf16":{"start":{"line_number":0,"utf16_col":0},"end":{"line_number":101,"utf16_col":0}}},{"name":"在线文档","fully_qualified_name":"在线文档","kind":"section_2","ident_start":654,"ident_end":666,"extent_start":651,"extent_end":763,"ident_utf16":{"start":{"line_number":12,"utf16_col":3},"end":{"line_number":12,"utf16_col":7}},"extent_utf16":{"start":{"line_number":12,"utf16_col":0},"end":{"line_number":16,"utf16_col":0}}},{"name":"核心内容","fully_qualified_name":"核心内容","kind":"section_2","ident_start":766,"ident_end":778,"extent_start":763,"extent_end":1529,"ident_utf16":{"start":{"line_number":16,"utf16_col":3},"end":{"line_number":16,"utf16_col":7}},"extent_utf16":{"start":{"line_number":16,"utf16_col":0},"end":{"line_number":43,"utf16_col":0}}},{"name":"入门篇 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算法模板","","![来刷题了](https://img.fuiboom.com/img/title.png)","","算法模板，最科学的刷题方式，最快速的刷题路径，一个月从入门到 offer，你值得拥有 🐶~","","算法模板顾名思义就是刷题的套路模板，掌握了刷题模板之后，刷题也变得好玩起来了~","","\u003e 此项目是自己找工作时，从 0 开始刷 LeetCode 的心得记录，通过各种刷题文章、专栏、视频等总结了一套自己的刷题模板。","\u003e","\u003e 这个模板主要是介绍了一些通用的刷题模板，以及一些常见问题，如到底要刷多少题，按什么顺序来刷题，如何提高刷题效率等。","","## 在线文档","","在线文档 Gitbook：[算法模板 🔥](https://greyireland.gitbook.io/algorithm-pattern/)","","## 核心内容","","### 入门篇 🐶","","- [go 语言入门](./introduction/golang.md)","- [算法快速入门](./introduction/quickstart.md)","","### 数据结构篇 🐰","","- [二叉树](./data_structure/binary_tree.md)","- [链表](./data_structure/linked_list.md)","- [栈和队列](./data_structure/stack_queue.md)","- [二进制](./data_structure/binary_op.md)","","### 基础算法篇 🐮","","- [二分搜索](./basic_algorithm/binary_search.md)","- [排序算法](./basic_algorithm/sort.md)","- [动态规划](./basic_algorithm/dp.md)","","### 算法思维 🦁","","- [递归思维](./advanced_algorithm/recursion.md)","- [滑动窗口思想](./advanced_algorithm/slide_window.md)","- 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offer 是大部分公司的出题源头，刷完面试中基本会遇到现题或者变形题，基本刷完这三部分，大部分国内公司的面试题应该就没什么问题了~","","1、 [algorithm-pattern 练习题](https://greyireland.gitbook.io/algorithm-pattern/)","","![练习题](https://img.fuiboom.com/img/repo_practice.png)","","2、 [LeetCode 卡片](https://leetcode-cn.com/explore/)","","![探索卡片](https://img.fuiboom.com/img/leetcode_explore.png)","","3、 [剑指 offer](https://leetcode-cn.com/problemset/lcof/)","","![剑指offer](https://img.fuiboom.com/img/leetcode_jzoffer.png)","","刷题时间可以合理分配，如果打算准备面试了，建议前面两部分 一个半月 （6 周）时间刷完，最后剑指 offer 半个月刷完，边刷可以边投简历进行面试，遇到不会的不用着急，往模板上套就对了，如果面试管给你提示，那就好好做，不要错过这大好机会~","","\u003e 注意点：如果为了找工作刷题，遇到 hard 的题如果有思路就做，没思路先跳过，先把基础打好，再来刷 hard 可能效果会更好~","","## 面试资源","","分享一些计算机的经典书籍，大部分对面试应该都有帮助，强烈推荐 🌝","","[我看过的 100 本书](https://github.com/greyireland/awesome-programming-books-1)","","## 更新计划","","持续更新中，觉得还可以的话点个 **star** 收藏呀 ⭐️~","","【 Github 】[https://github.com/greyireland/algorithm-pattern](https://github.com/greyireland/algorithm-pattern) ⭐️","","## 完成打卡","","完成计划之后，可以提交 Pull requests，在下面添加自己的项目仓库，完成自己的算法模板打卡呀~","","| 完成 | 用户                                              | 项目地址                                                            |","| ---- | ------------------------------------------------- | ------------------------------------------------------------------- |","| ✅   | [wardseptember](https://github.com/wardseptember) | [notes(Java 实现)](https://github.com/wardseptember/notes)          |","| 🕒   | [dashidhy](https://github.com/dashidhy) | [algorithm-pattern-python(Python 实现)](https://github.com/dashidhy/algorithm-pattern-python) 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class="markdown-heading" dir="auto"><h1 tabindex="-1" class="heading-element" dir="auto">算法模板</h1><a id="user-content-算法模板" class="anchor" aria-label="Permalink: 算法模板" href="#算法模板"><svg data-component="Octicon" class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div>
<p dir="auto"><a target="_blank" rel="noopener noreferrer nofollow" href="https://camo.githubusercontent.com/08b1f2e445a569684bdcd4014469c7abd25385588c20aa8bb77563c13822bb01/68747470733a2f2f696d672e667569626f6f6d2e636f6d2f696d672f7469746c652e706e67"><img src="https://camo.githubusercontent.com/08b1f2e445a569684bdcd4014469c7abd25385588c20aa8bb77563c13822bb01/68747470733a2f2f696d672e667569626f6f6d2e636f6d2f696d672f7469746c652e706e67" alt="来刷题了" data-canonical-src="https://img.fuiboom.com/img/title.png" style="max-width: 100%;"></a></p>
<p dir="auto">算法模板，最科学的刷题方式，最快速的刷题路径，一个月从入门到 offer，你值得拥有 🐶~</p>
<p dir="auto">算法模板顾名思义就是刷题的套路模板，掌握了刷题模板之后，刷题也变得好玩起来了~</p>
<blockquote>
<p dir="auto">此项目是自己找工作时，从 0 开始刷 LeetCode 的心得记录，通过各种刷题文章、专栏、视频等总结了一套自己的刷题模板。</p>
<p dir="auto">这个模板主要是介绍了一些通用的刷题模板，以及一些常见问题，如到底要刷多少题，按什么顺序来刷题，如何提高刷题效率等。</p>
</blockquote>
<div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">在线文档</h2><a id="user-content-在线文档" class="anchor" aria-label="Permalink: 在线文档" href="#在线文档"><svg data-component="Octicon" class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div>
<p dir="auto">在线文档 Gitbook：<a href="https://greyireland.gitbook.io/algorithm-pattern/" rel="nofollow">算法模板 🔥</a></p>
<div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">核心内容</h2><a id="user-content-核心内容" class="anchor" aria-label="Permalink: 核心内容" href="#核心内容"><svg data-component="Octicon" class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div>
<div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">入门篇 🐶</h3><a id="user-content-入门篇-" class="anchor" aria-label="Permalink: 入门篇 🐶" href="#入门篇-"><svg data-component="Octicon" class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div>
<ul dir="auto">
<li><a href="/chenyu85/algorithm-pattern/blob/master/introduction/golang.md">go 语言入门</a></li>
<li><a href="/chenyu85/algorithm-pattern/blob/master/introduction/quickstart.md">算法快速入门</a></li>
</ul>
<div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">数据结构篇 🐰</h3><a id="user-content-数据结构篇-" class="anchor" aria-label="Permalink: 数据结构篇 🐰" href="#数据结构篇-"><svg data-component="Octicon" class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div>
<ul dir="auto">
<li><a href="/chenyu85/algorithm-pattern/blob/master/data_structure/binary_tree.md">二叉树</a></li>
<li><a href="/chenyu85/algorithm-pattern/blob/master/data_structure/linked_list.md">链表</a></li>
<li><a href="/chenyu85/algorithm-pattern/blob/master/data_structure/stack_queue.md">栈和队列</a></li>
<li><a href="/chenyu85/algorithm-pattern/blob/master/data_structure/binary_op.md">二进制</a></li>
</ul>
<div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">基础算法篇 🐮</h3><a id="user-content-基础算法篇-" class="anchor" aria-label="Permalink: 基础算法篇 🐮" href="#基础算法篇-"><svg data-component="Octicon" class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div>
<ul dir="auto">
<li><a href="/chenyu85/algorithm-pattern/blob/master/basic_algorithm/binary_search.md">二分搜索</a></li>
<li><a href="/chenyu85/algorithm-pattern/blob/master/basic_algorithm/sort.md">排序算法</a></li>
<li><a href="/chenyu85/algorithm-pattern/blob/master/basic_algorithm/dp.md">动态规划</a></li>
</ul>
<div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">算法思维 🦁</h3><a id="user-content-算法思维-" class="anchor" aria-label="Permalink: 算法思维 🦁" href="#算法思维-"><svg data-component="Octicon" class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div>
<ul dir="auto">
<li><a href="/chenyu85/algorithm-pattern/blob/master/advanced_algorithm/recursion.md">递归思维</a></li>
<li><a href="/chenyu85/algorithm-pattern/blob/master/advanced_algorithm/slide_window.md">滑动窗口思想</a></li>
<li><a href="/chenyu85/algorithm-pattern/blob/master/advanced_algorithm/binary_search_tree.md">二叉搜索树</a></li>
<li><a href="/chenyu85/algorithm-pattern/blob/master/advanced_algorithm/backtrack.md">回溯法</a></li>
</ul>
<div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">心得体会</h2><a id="user-content-心得体会" class="anchor" aria-label="Permalink: 心得体会" href="#心得体会"><svg data-component="Octicon" class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div>
<p dir="auto">文章大部分是对题目的思路介绍，和一些问题的解析，有了思路还是需要自己手动写写的，所以每篇文章最后都有对应的练习题</p>
<p dir="auto">刷完这些练习题，基本对数据结构和算法有自己的认识体会，基本大部分面试题都能写得出来，国内的 BAT、TMD 应该都不是问题</p>
<p dir="auto">从 4 月份找工作开始，从 0 开始刷 LeetCode，中间大概花了一个半月(6 周)左右时间刷完 240 题。</p>
<p dir="auto"><a target="_blank" rel="noopener noreferrer nofollow" href="https://camo.githubusercontent.com/8ff2d17c73bed7580bc88242854e69c889647d64081f888555410c718c4b51f2/68747470733a2f2f696d672e667569626f6f6d2e636f6d2f696d672f6c656574636f64655f74696d652e706e67"><img src="https://camo.githubusercontent.com/8ff2d17c73bed7580bc88242854e69c889647d64081f888555410c718c4b51f2/68747470733a2f2f696d672e667569626f6f6d2e636f6d2f696d672f6c656574636f64655f74696d652e706e67" alt="一个半月刷完240题" data-canonical-src="https://img.fuiboom.com/img/leetcode_time.png" style="max-width: 100%;"></a></p>
<p dir="auto"><a target="_blank" rel="noopener noreferrer nofollow" href="https://camo.githubusercontent.com/686a8bf7536a92f9948727765657c1ef7fd2cb242862be154467215687cbc1fe/68747470733a2f2f696d672e667569626f6f6d2e636f6d2f696d672f6c656574636f64655f7265636f72642e706e67"><img src="https://camo.githubusercontent.com/686a8bf7536a92f9948727765657c1ef7fd2cb242862be154467215687cbc1fe/68747470733a2f2f696d672e667569626f6f6d2e636f6d2f696d672f6c656574636f64655f7265636f72642e706e67" alt="刷题记录" data-canonical-src="https://img.fuiboom.com/img/leetcode_record.png" style="max-width: 100%;"></a></p>
<p dir="auto">开始刷题时，确实是无从下手，因为从序号开始刷，刷到几道题就遇到 hard 的题型，会卡住很久，后面去评论区看别人怎么刷题，也去 Google 搜索最好的刷题方式，发现按题型刷题会舒服很多，基本一个类型的题目，一天能做很多，慢慢刷题也不再枯燥，做起来也很有意思，最后也收到不错的 offer（最后去了宇宙系）。</p>
<p dir="auto">回到最开始的问题，面试到底要刷多少题，其实这个取决于你想进什么样公司，你定的目标如果是国内一线大厂，个人感觉大概 200 至 300 题基本就满足大部分面试需要了。第二个问题是按什么顺序刷及如何提高效率，这个也是本 repo 的目的，给你指定了一个刷题的顺序，以及刷题的模板，有了方向和技巧后，就去动手吧~ 希望刷完之后，你也能自己总结一套属于自己的刷题模板，有所收获，有所成长~</p>
<div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">推荐的刷题路径</h2><a id="user-content-推荐的刷题路径" class="anchor" aria-label="Permalink: 推荐的刷题路径" href="#推荐的刷题路径"><svg data-component="Octicon" class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div>
<p dir="auto">按此 repo 目录刷一遍，如果中间有题目卡住了先跳过，然后刷题一遍 LeetCode 探索基础卡片，最后快要面试时刷题一遍剑指 offer。</p>
<p dir="auto">为什么这么要这么刷，因为 repo 里面的题目是按类型归类，都是一些常见的高频题，很有代表性，大部分都是可以用模板加一点变形做出来，刷完后对大部分题目有基本的认识。然后刷一遍探索卡片，巩固一下一些基础知识点，总结这些知识点。最后剑指 offer 是大部分公司的出题源头，刷完面试中基本会遇到现题或者变形题，基本刷完这三部分，大部分国内公司的面试题应该就没什么问题了~</p>
<p dir="auto">1、 <a href="https://greyireland.gitbook.io/algorithm-pattern/" rel="nofollow">algorithm-pattern 练习题</a></p>
<p dir="auto"><a target="_blank" rel="noopener noreferrer nofollow" href="https://camo.githubusercontent.com/39d97a32ea71c3f68fcccfd1d7018f748aee03ef89fb71e5f646e6740ad2b928/68747470733a2f2f696d672e667569626f6f6d2e636f6d2f696d672f7265706f5f70726163746963652e706e67"><img src="https://camo.githubusercontent.com/39d97a32ea71c3f68fcccfd1d7018f748aee03ef89fb71e5f646e6740ad2b928/68747470733a2f2f696d672e667569626f6f6d2e636f6d2f696d672f7265706f5f70726163746963652e706e67" alt="练习题" data-canonical-src="https://img.fuiboom.com/img/repo_practice.png" style="max-width: 100%;"></a></p>
<p dir="auto">2、 <a href="https://leetcode-cn.com/explore/" rel="nofollow">LeetCode 卡片</a></p>
<p dir="auto"><a target="_blank" rel="noopener noreferrer nofollow" href="https://camo.githubusercontent.com/52739b1ee0f11b1077bb7b911981396971adde5a563b5442b4783df585218969/68747470733a2f2f696d672e667569626f6f6d2e636f6d2f696d672f6c656574636f64655f6578706c6f72652e706e67"><img src="https://camo.githubusercontent.com/52739b1ee0f11b1077bb7b911981396971adde5a563b5442b4783df585218969/68747470733a2f2f696d672e667569626f6f6d2e636f6d2f696d672f6c656574636f64655f6578706c6f72652e706e67" alt="探索卡片" data-canonical-src="https://img.fuiboom.com/img/leetcode_explore.png" style="max-width: 100%;"></a></p>
<p dir="auto">3、 <a href="https://leetcode-cn.com/problemset/lcof/" rel="nofollow">剑指 offer</a></p>
<p dir="auto"><a target="_blank" rel="noopener noreferrer nofollow" href="https://camo.githubusercontent.com/0d035143335287bc178d7e5d1e5032b33dfa5e85e4302b3cf1acc9a95d1f4386/68747470733a2f2f696d672e667569626f6f6d2e636f6d2f696d672f6c656574636f64655f6a7a6f666665722e706e67"><img src="https://camo.githubusercontent.com/0d035143335287bc178d7e5d1e5032b33dfa5e85e4302b3cf1acc9a95d1f4386/68747470733a2f2f696d672e667569626f6f6d2e636f6d2f696d672f6c656574636f64655f6a7a6f666665722e706e67" alt="剑指offer" data-canonical-src="https://img.fuiboom.com/img/leetcode_jzoffer.png" style="max-width: 100%;"></a></p>
<p dir="auto">刷题时间可以合理分配，如果打算准备面试了，建议前面两部分 一个半月 （6 周）时间刷完，最后剑指 offer 半个月刷完，边刷可以边投简历进行面试，遇到不会的不用着急，往模板上套就对了，如果面试管给你提示，那就好好做，不要错过这大好机会~</p>
<blockquote>
<p dir="auto">注意点：如果为了找工作刷题，遇到 hard 的题如果有思路就做，没思路先跳过，先把基础打好，再来刷 hard 可能效果会更好~</p>
</blockquote>
<div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">面试资源</h2><a id="user-content-面试资源" class="anchor" aria-label="Permalink: 面试资源" href="#面试资源"><svg data-component="Octicon" class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div>
<p dir="auto">分享一些计算机的经典书籍，大部分对面试应该都有帮助，强烈推荐 🌝</p>
<p dir="auto"><a href="https://github.com/greyireland/awesome-programming-books-1">我看过的 100 本书</a></p>
<div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">更新计划</h2><a id="user-content-更新计划" class="anchor" aria-label="Permalink: 更新计划" href="#更新计划"><svg data-component="Octicon" class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div>
<p dir="auto">持续更新中，觉得还可以的话点个 <strong>star</strong> 收藏呀 ⭐️~</p>
<p dir="auto">【 Github 】<a href="https://github.com/greyireland/algorithm-pattern">https://github.com/greyireland/algorithm-pattern</a> ⭐️</p>
<div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">完成打卡</h2><a id="user-content-完成打卡" class="anchor" aria-label="Permalink: 完成打卡" href="#完成打卡"><svg data-component="Octicon" class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div>
<p dir="auto">完成计划之后，可以提交 Pull requests，在下面添加自己的项目仓库，完成自己的算法模板打卡呀~</p>
<markdown-accessiblity-table><table>
<thead>
<tr>
<th>完成</th>
<th>用户</th>
<th>项目地址</th>
</tr>
</thead>
<tbody>
<tr>
<td>✅</td>
<td><a href="https://github.com/wardseptember">wardseptember</a></td>
<td><a href="https://github.com/wardseptember/notes">notes(Java 实现)</a></td>
</tr>
<tr>
<td>🕒</td>
<td><a href="https://github.com/dashidhy">dashidhy</a></td>
<td><a href="https://github.com/dashidhy/algorithm-pattern-python">algorithm-pattern-python(Python 实现)</a></td>
</tr>
</tbody>
</table></markdown-accessiblity-table>
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      <div class="octocat-spinner tmp-my-6 js-details-dialog-spinner"></div>
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    <div class="Popover js-hovercard-content position-absolute" style="display: none; outline: none;">
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</template>
<template id="snippet-clipboard-copy-button-unpositioned">
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</svg>
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</svg>
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