René's URL Explorer Experiment


Title: NLP-Interview-Notes/python at main · coderbyr/NLP-Interview-Notes · GitHub

Open Graph Title: NLP-Interview-Notes/python at main · coderbyr/NLP-Interview-Notes

X Title: NLP-Interview-Notes/python at main · coderbyr/NLP-Interview-Notes

Description: 本项目是作者们根据个人面试和经验总结出的自然语言处理(NLP)面试准备的学习笔记与资料，该资料目前包含 自然语言处理各领域的 面试题积累。 - NLP-Interview-Notes/python at main · coderbyr/NLP-Interview-Notes

Open Graph Description: 本项目是作者们根据个人面试和经验总结出的自然语言处理(NLP)面试准备的学习笔记与资料，该资料目前包含 自然语言处理各领域的 面试题积累。 - coderbyr/NLP-Interview-Notes

X Description: 本项目是作者们根据个人面试和经验总结出的自然语言处理(NLP)面试准备的学习笔记与资料，该资料目前包含 自然语言处理各领域的 面试题积累。 - coderbyr/NLP-Interview-Notes

Opengraph URL: https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python

X: @github

direct link

Domain: github.com

route-pattern/:user_id/:repository/tree/*name(/*path)
route-controllerfiles
route-actiondisambiguate
fetch-noncev2:861aac98-5c9f-41b0-c85b-e6fa6bbfe49e
current-catalog-service-hashf3abb0cc802f3d7b95fc8762b94bdcb13bf39634c40c357301c4aa1d67a256fb
request-idD838:244C0:1AFE15:26C818:6A4E6623
html-safe-nonce86573a0064989942812a6ce72c03e5f177261d6845a9ca3592ddcab9028cc94a
visitor-payloadeyJyZWZlcnJlciI6IiIsInJlcXVlc3RfaWQiOiJEODM4OjI0NEMwOjFBRkUxNToyNkM4MTg6NkE0RTY2MjMiLCJ2aXNpdG9yX2lkIjoiODg2OTA2NDk0MzU1MjMyNTE1NSIsInJlZ2lvbl9lZGdlIjoiaWFkIiwicmVnaW9uX3JlbmRlciI6ImlhZCJ9
visitor-hmac0fa03411d539f910ebf8c7511693d9840f25ee570155563e5ee26afe4a475bc6
hovercard-subject-tagrepository:415841126
github-keyboard-shortcutsrepository,source-code,file-tree,copilot
google-site-verificationApib7-x98H0j5cPqHWwSMm6dNU4GmODRoqxLiDzdx9I
octolytics-urlhttps://collector.github.com/github/collect
analytics-location///files/disambiguate
fb:app_id1401488693436528
apple-itunes-appapp-id=1477376905, app-argument=https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python
twitter:imagehttps://opengraph.githubassets.com/d852390beb5ca6b15ba103b6eed869226414f867b0862808670dd52b1ffd7fe7/coderbyr/NLP-Interview-Notes
twitter:cardsummary_large_image
og:imagehttps://opengraph.githubassets.com/d852390beb5ca6b15ba103b6eed869226414f867b0862808670dd52b1ffd7fe7/coderbyr/NLP-Interview-Notes
og:image:alt本项目是作者们根据个人面试和经验总结出的自然语言处理(NLP)面试准备的学习笔记与资料，该资料目前包含 自然语言处理各领域的 面试题积累。 - coderbyr/NLP-Interview-Notes
og:image:width1200
og:image:height600
og:site_nameGitHub
og:typeobject
hostnamegithub.com
expected-hostnamegithub.com
None41b6ab3ba6d20a71766ac245b5a4a94c6fc672a9cd4da7d44c1b33ab8bf6a21c
turbo-cache-controlno-cache
go-importgithub.com/coderbyr/NLP-Interview-Notes git https://github.com/coderbyr/NLP-Interview-Notes.git
octolytics-dimension-user_id8182072
octolytics-dimension-user_logincoderbyr
octolytics-dimension-repository_id415841126
octolytics-dimension-repository_nwocoderbyr/NLP-Interview-Notes
octolytics-dimension-repository_publictrue
octolytics-dimension-repository_is_forktrue
octolytics-dimension-repository_parent_id341198747
octolytics-dimension-repository_parent_nwokm1994/NLP-Interview-Notes
octolytics-dimension-repository_network_root_id341198747
octolytics-dimension-repository_network_root_nwokm1994/NLP-Interview-Notes
turbo-body-classeslogged-out env-production page-responsive
disable-turbofalse
browser-stats-urlhttps://api.github.com/_private/browser/stats
browser-errors-urlhttps://api.github.com/_private/browser/errors
releasee6a744804e8e70f97b4d5a18a94dcc63db22f97a
ui-targetfull
theme-color#1e2327
color-schemelight dark

Links:

Skip to contenthttps://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#start-of-content
https://github.com/
Sign in https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fcoderbyr%2FNLP-Interview-Notes%2Ftree%2Fmain%2Fpython
GitHub CopilotWrite better code with AIhttps://github.com/features/copilot
GitHub Copilot appDirect agents from issue to mergehttps://github.com/features/ai/github-app
MCP RegistryNewIntegrate external toolshttps://github.com/mcp
ActionsAutomate any workflowhttps://github.com/features/actions
CodespacesInstant dev environmentshttps://github.com/features/codespaces
IssuesPlan and track workhttps://github.com/features/issues
Code ReviewManage code changeshttps://github.com/features/code-review
GitHub Advanced SecurityFind and fix vulnerabilitieshttps://github.com/security/advanced-security
Code securitySecure your code as you buildhttps://github.com/security/advanced-security/code-security
Secret protectionStop leaks before they starthttps://github.com/security/advanced-security/secret-protection
Why GitHubhttps://github.com/why-github
Documentationhttps://docs.github.com
Bloghttps://github.blog
Changeloghttps://github.blog/changelog
Marketplacehttps://github.com/marketplace
View all featureshttps://github.com/features
Enterpriseshttps://github.com/enterprise
Small and medium teamshttps://github.com/team
Startupshttps://github.com/enterprise/startups
Nonprofitshttps://github.com/solutions/industry/nonprofits
App Modernizationhttps://github.com/solutions/use-case/app-modernization
DevSecOpshttps://github.com/solutions/use-case/devsecops
DevOpshttps://github.com/solutions/use-case/devops
CI/CDhttps://github.com/solutions/use-case/ci-cd
View all use caseshttps://github.com/solutions/use-case
Healthcarehttps://github.com/solutions/industry/healthcare
Financial serviceshttps://github.com/solutions/industry/financial-services
Manufacturinghttps://github.com/solutions/industry/manufacturing
Governmenthttps://github.com/solutions/industry/government
View all industrieshttps://github.com/solutions/industry
View all solutionshttps://github.com/solutions
AIhttps://github.com/resources/articles?topic=ai
Software Developmenthttps://github.com/resources/articles?topic=software-development
DevOpshttps://github.com/resources/articles?topic=devops
Securityhttps://github.com/resources/articles?topic=security
View all topicshttps://github.com/resources/articles
Customer storieshttps://github.com/customer-stories
Events & webinarshttps://github.com/resources/events
Ebooks & reportshttps://github.com/resources/whitepapers
Business insightshttps://github.com/solutions/executive-insights
GitHub Skillshttps://skills.github.com
Documentationhttps://docs.github.com
Customer supporthttps://support.github.com
Community forumhttps://github.com/orgs/community/discussions
Trust centerhttps://github.com/trust-center
Partnershttps://github.com/partners
View all resourceshttps://github.com/resources
GitHub SponsorsFund open source developershttps://github.com/open-source/sponsors
Security Labhttps://securitylab.github.com
Maintainer Communityhttps://maintainers.github.com
Acceleratorhttps://github.com/open-source/accelerator
GitHub Starshttps://stars.github.com
Archive Programhttps://archiveprogram.github.com
Topicshttps://github.com/topics
Trendinghttps://github.com/trending
Collectionshttps://github.com/collections
Enterprise platformAI-powered developer platformhttps://github.com/enterprise
GitHub Advanced SecurityEnterprise-grade security featureshttps://github.com/security/advanced-security
Copilot for BusinessEnterprise-grade AI featureshttps://github.com/features/copilot/copilot-business
Premium SupportEnterprise-grade 24/7 supporthttps://github.com/enterprise/premium-support
Pricinghttps://github.com/pricing
Search syntax tipshttps://docs.github.com/search-github/github-code-search/understanding-github-code-search-syntax
documentationhttps://docs.github.com/search-github/github-code-search/understanding-github-code-search-syntax
Sign in https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fcoderbyr%2FNLP-Interview-Notes%2Ftree%2Fmain%2Fpython
Sign up https://github.com/signup?ref_cta=Sign+up&ref_loc=header+logged+out&ref_page=%2F%3Cuser-name%3E%2F%3Crepo-name%3E%2Ffiles%2Fdisambiguate&source=header-repo&source_repo=coderbyr%2FNLP-Interview-Notes
Reloadhttps://github.com/coderbyr/NLP-Interview-Notes/tree/main/python
Reloadhttps://github.com/coderbyr/NLP-Interview-Notes/tree/main/python
Reloadhttps://github.com/coderbyr/NLP-Interview-Notes/tree/main/python
coderbyr https://github.com/coderbyr
NLP-Interview-Noteshttps://github.com/coderbyr/NLP-Interview-Notes
km1994/NLP-Interview-Noteshttps://github.com/km1994/NLP-Interview-Notes
Notifications https://github.com/login?return_to=%2Fcoderbyr%2FNLP-Interview-Notes
Fork 0 https://github.com/login?return_to=%2Fcoderbyr%2FNLP-Interview-Notes
Star 1 https://github.com/login?return_to=%2Fcoderbyr%2FNLP-Interview-Notes
Code https://github.com/coderbyr/NLP-Interview-Notes
Pull requests 0 https://github.com/coderbyr/NLP-Interview-Notes/pulls
Actions https://github.com/coderbyr/NLP-Interview-Notes/actions
Projects https://github.com/coderbyr/NLP-Interview-Notes/projects
Security and quality 0 https://github.com/coderbyr/NLP-Interview-Notes/security
Insights https://github.com/coderbyr/NLP-Interview-Notes/pulse
Code https://github.com/coderbyr/NLP-Interview-Notes
Pull requests https://github.com/coderbyr/NLP-Interview-Notes/pulls
Actions https://github.com/coderbyr/NLP-Interview-Notes/actions
Projects https://github.com/coderbyr/NLP-Interview-Notes/projects
Security and quality https://github.com/coderbyr/NLP-Interview-Notes/security
Insights https://github.com/coderbyr/NLP-Interview-Notes/pulse
https://github.com/coderbyr/NLP-Interview-Notes
NLP-Interview-Noteshttps://github.com/coderbyr/NLP-Interview-Notes/tree/main
Historyhttps://github.com/coderbyr/NLP-Interview-Notes/commits/main/python
https://github.com/coderbyr/NLP-Interview-Notes/commits/main/python
NLP-Interview-Noteshttps://github.com/coderbyr/NLP-Interview-Notes/tree/main
..https://github.com/coderbyr/NLP-Interview-Notes/tree/main
imghttps://github.com/coderbyr/NLP-Interview-Notes/tree/main/python/img
imghttps://github.com/coderbyr/NLP-Interview-Notes/tree/main/python/img
readme.mdhttps://github.com/coderbyr/NLP-Interview-Notes/blob/main/python/readme.md
readme.mdhttps://github.com/coderbyr/NLP-Interview-Notes/blob/main/python/readme.md
readme.mdhttps://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#readme
https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#关于-python--的那些你不知道的事
https://github.com/km1994/nlp_paper_studyhttps://github.com/km1994/nlp_paper_study
【关于 python 】 的那些你不知道的事https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#%E5%85%B3%E4%BA%8E-python--%E7%9A%84%E9%82%A3%E4%BA%9B%E4%BD%A0%E4%B8%8D%E7%9F%A5%E9%81%93%E7%9A%84%E4%BA%8B
一、什么是*args 和 **kwargs？https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#%E4%B8%80%E4%BB%80%E4%B9%88%E6%98%AFargs-%E5%92%8C-kwargs
1.1 为什么会有 *args 和 **kwargs？https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#11-%E4%B8%BA%E4%BB%80%E4%B9%88%E4%BC%9A%E6%9C%89-args-%E5%92%8C-kwargs
1.2 *args 和 **kwargs 的用途是什么？https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#12-args-%E5%92%8C-kwargs-%E7%9A%84%E7%94%A8%E9%80%94%E6%98%AF%E4%BB%80%E4%B9%88
1.3 *args 是什么？https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#13-args-%E6%98%AF%E4%BB%80%E4%B9%88
1.4 **kwargs是什么？https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#14-kwargs%E6%98%AF%E4%BB%80%E4%B9%88
1.5 *args 与 **kwargs 的区别是什么？https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#15-args-%E4%B8%8E-kwargs-%E7%9A%84%E5%8C%BA%E5%88%AB%E6%98%AF%E4%BB%80%E4%B9%88
二、什么是装饰器？https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#%E4%BA%8C%E4%BB%80%E4%B9%88%E6%98%AF%E8%A3%85%E9%A5%B0%E5%99%A8
2.1 装饰器是什么？https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#21-%E8%A3%85%E9%A5%B0%E5%99%A8%E6%98%AF%E4%BB%80%E4%B9%88
2.2 装饰器怎么用？https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#22-%E8%A3%85%E9%A5%B0%E5%99%A8%E6%80%8E%E4%B9%88%E7%94%A8
三、Python垃圾回收（GC）https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#%E4%B8%89python%E5%9E%83%E5%9C%BE%E5%9B%9E%E6%94%B6gc
3.1 垃圾回收算法有哪些？https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#31-%E5%9E%83%E5%9C%BE%E5%9B%9E%E6%94%B6%E7%AE%97%E6%B3%95%E6%9C%89%E5%93%AA%E4%BA%9B
3.2 引用计数（主要）是什么？https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#32-%E5%BC%95%E7%94%A8%E8%AE%A1%E6%95%B0%E4%B8%BB%E8%A6%81%E6%98%AF%E4%BB%80%E4%B9%88
3.3 标记-清除是什么？https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#33-%E6%A0%87%E8%AE%B0-%E6%B8%85%E9%99%A4%E6%98%AF%E4%BB%80%E4%B9%88
3.4 分代回收是什么？https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#34-%E5%88%86%E4%BB%A3%E5%9B%9E%E6%94%B6%E6%98%AF%E4%BB%80%E4%B9%88
四、python的sorted函数对字典按key排序和按value排序https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#%E5%9B%9Bpython%E7%9A%84sorted%E5%87%BD%E6%95%B0%E5%AF%B9%E5%AD%97%E5%85%B8%E6%8C%89key%E6%8E%92%E5%BA%8F%E5%92%8C%E6%8C%89value%E6%8E%92%E5%BA%8F
4.1 python 的sorted函数是什么？https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#41-python-%E7%9A%84sorted%E5%87%BD%E6%95%B0%E6%98%AF%E4%BB%80%E4%B9%88
4.2 python 的sorted函数举例说明？https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#42-python-%E7%9A%84sorted%E5%87%BD%E6%95%B0%E4%B8%BE%E4%BE%8B%E8%AF%B4%E6%98%8E
五、直接赋值、浅拷贝和深度拷贝https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#%E4%BA%94%E7%9B%B4%E6%8E%A5%E8%B5%8B%E5%80%BC%E6%B5%85%E6%8B%B7%E8%B4%9D%E5%92%8C%E6%B7%B1%E5%BA%A6%E6%8B%B7%E8%B4%9D
5.1 概念介绍https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#51-%E6%A6%82%E5%BF%B5%E4%BB%8B%E7%BB%8D
5.2 介绍https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#52-%E4%BB%8B%E7%BB%8D
5.3 变量定义流程https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#53-%E5%8F%98%E9%87%8F%E5%AE%9A%E4%B9%89%E6%B5%81%E7%A8%8B
5.3 赋值https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#53-%E8%B5%8B%E5%80%BC
5.4 浅拷贝https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#54-%E6%B5%85%E6%8B%B7%E8%B4%9D
5.5 深度拷贝https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#55--%E6%B7%B1%E5%BA%A6%E6%8B%B7%E8%B4%9D
5.6 核心：不可变对象类型 and 可变对象类型https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#56-%E6%A0%B8%E5%BF%83%E4%B8%8D%E5%8F%AF%E5%8F%98%E5%AF%B9%E8%B1%A1%E7%B1%BB%E5%9E%8B-and-%E5%8F%AF%E5%8F%98%E5%AF%B9%E8%B1%A1%E7%B1%BB%E5%9E%8B
5.6.1 不可变对象类型https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#561-%E4%B8%8D%E5%8F%AF%E5%8F%98%E5%AF%B9%E8%B1%A1%E7%B1%BB%E5%9E%8B
5.6.2 可变对象类型https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#562-%E5%8F%AF%E5%8F%98%E5%AF%B9%E8%B1%A1%E7%B1%BB%E5%9E%8B
六、进程、线程、协程https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#%E5%85%AD%E8%BF%9B%E7%A8%8B%E7%BA%BF%E7%A8%8B%E5%8D%8F%E7%A8%8B
6.1 进程https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#61-%E8%BF%9B%E7%A8%8B
6.1.1 什么是进程？https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#611-%E4%BB%80%E4%B9%88%E6%98%AF%E8%BF%9B%E7%A8%8B
6.1.2 进程间如何通信？https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#612-%E8%BF%9B%E7%A8%8B%E9%97%B4%E5%A6%82%E4%BD%95%E9%80%9A%E4%BF%A1
6.2 线程https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#62-%E7%BA%BF%E7%A8%8B
6.2.1 什么是线程？https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#621-%E4%BB%80%E4%B9%88%E6%98%AF%E7%BA%BF%E7%A8%8B
6.2.2 线程间如何通信？https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#622-%E7%BA%BF%E7%A8%8B%E9%97%B4%E5%A6%82%E4%BD%95%E9%80%9A%E4%BF%A1
6.3 进程 vs 线程https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#63-%E8%BF%9B%E7%A8%8B-vs-%E7%BA%BF%E7%A8%8B
6.3.1 区别https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#631-%E5%8C%BA%E5%88%AB
6.3.2 应用场景https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#632-%E5%BA%94%E7%94%A8%E5%9C%BA%E6%99%AF
6.4 协程https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#64-%E5%8D%8F%E7%A8%8B
6.4.1 什么是协程？https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#641-%E4%BB%80%E4%B9%88%E6%98%AF%E5%8D%8F%E7%A8%8B
6.4.2 协程的优点？https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#642-%E5%8D%8F%E7%A8%8B%E7%9A%84%E4%BC%98%E7%82%B9
七、全局解释器锁https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#%E4%B8%83%E5%85%A8%E5%B1%80%E8%A7%A3%E9%87%8A%E5%99%A8%E9%94%81
7.1 什么是全局解释器锁？https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#71-%E4%BB%80%E4%B9%88%E6%98%AF%E5%85%A8%E5%B1%80%E8%A7%A3%E9%87%8A%E5%99%A8%E9%94%81
7.2 GIL有什么作用？https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#72-gil%E6%9C%89%E4%BB%80%E4%B9%88%E4%BD%9C%E7%94%A8
7.3 GIL有什么影响？https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#73-gil%E6%9C%89%E4%BB%80%E4%B9%88%E5%BD%B1%E5%93%8D
7.4 如何避免GIL带来的影响？https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#74-%E5%A6%82%E4%BD%95%E9%81%BF%E5%85%8Dgil%E5%B8%A6%E6%9D%A5%E7%9A%84%E5%BD%B1%E5%93%8D
参考https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#%E5%8F%82%E8%80%83
https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#一什么是args-和-kwargs
https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#11-为什么会有-args-和-kwargs
https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#12-args-和-kwargs-的用途是什么
https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#13-args-是什么
https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#14-kwargs是什么
https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#15-args-与-kwargs-的区别是什么
https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#二什么是装饰器
https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#21-装饰器是什么
https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#22-装饰器怎么用
https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#三python垃圾回收gc
https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#31-垃圾回收算法有哪些
https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#32-引用计数主要是什么
https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#33-标记-清除是什么
https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#34-分代回收是什么
https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#四python的sorted函数对字典按key排序和按value排序
https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#41-python-的sorted函数是什么
https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#42-python-的sorted函数举例说明
https://github.com/coderbyr/NLP-Interview-Notes/blob/main/python/img/%E5%BE%AE%E4%BF%A1%E6%88%AA%E5%9B%BE_20201104224302.png
https://github.com/coderbyr/NLP-Interview-Notes/blob/main/python/img/%E5%BE%AE%E4%BF%A1%E6%88%AA%E5%9B%BE_20201104224402.png
https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#五直接赋值浅拷贝和深度拷贝
https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#51-概念介绍
https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#52-介绍
https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#53-变量定义流程
https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#53-赋值
https://github.com/coderbyr/NLP-Interview-Notes/blob/main/python/img/%E5%BE%AE%E4%BF%A1%E6%88%AA%E5%9B%BE_20210221224625.png
https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#54-浅拷贝
https://github.com/coderbyr/NLP-Interview-Notes/blob/main/python/img/%E5%BE%AE%E4%BF%A1%E6%88%AA%E5%9B%BE_20210221224952.png
https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#55--深度拷贝
https://github.com/coderbyr/NLP-Interview-Notes/blob/main/python/img/%E5%BE%AE%E4%BF%A1%E6%88%AA%E5%9B%BE_20210221225331.png
https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#56-核心不可变对象类型-and-可变对象类型
https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#561-不可变对象类型
https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#562-可变对象类型
https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#六进程线程协程
https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#61-进程
https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#611-什么是进程
https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#612-进程间如何通信
https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#62-线程
https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#621-什么是线程
https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#622-线程间如何通信
https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#63-进程-vs-线程
https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#631-区别
https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#632-应用场景
https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#64-协程
https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#641-什么是协程
https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#642-协程的优点
https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#七全局解释器锁
https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#71-什么是全局解释器锁
https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#72-gil有什么作用
https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#73-gil有什么影响
https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#74-如何避免gil带来的影响
https://github.com/coderbyr/NLP-Interview-Notes/tree/main/python#参考
*args 和 **kwargs的用法https://www.jianshu.com/p/d993b2a88e73
理解 Python 装饰器看这一篇就够了https://foofish.net/python-decorator.html
Python垃圾回收（GC）三层心法,你了解到第几层？https://juejin.im/post/6844903629556547598
Python垃圾回收机制！非常实用https://zhuanlan.zhihu.com/p/83251959
python的sorted函数对字典按key排序和按value排序https://blog.csdn.net/tangtanghao511/article/details/47810729
Python中的赋值(复制)、浅拷贝与深拷贝https://zhuanlan.zhihu.com/p/54011712
Python 直接赋值、浅拷贝和深度拷贝解析https://www.runoob.com/w3cnote/python-understanding-dict-copy-shallow-or-deep.html
Python中 进程 线程 协程 (多任务概念/重点)https://v3u.cn/book/p4.html
全局解释器锁https://v3u.cn/book/p5.html
https://github.com
Termshttps://docs.github.com/site-policy/github-terms/github-terms-of-service
Privacyhttps://docs.github.com/site-policy/privacy-policies/github-privacy-statement
Securityhttps://github.com/security
Statushttps://www.githubstatus.com/
Communityhttps://github.community/
Docshttps://docs.github.com/
Contacthttps://support.github.com?tags=dotcom-footer

Viewport: width=device-width

URLs of crawlers that visited me.