Angry liver half moon! Python learning route + resource summary

Python Learning route by Fish skin .

Originality is not easy. , Don't copy , Offenders will investigate ！

Hello everyone , I'm fish skin , Liver for about ten days Python The learning route finally came ~

Same as before , Before looking at the route , I suggest you learn a few questions through the following video ：

• Python Why is it so hot ？

• Why are they all talking about learning Python No job found ？Python Is it really fragrant ？

• I have to learn Python Well ？

• How to learn quickly ？

Video address ：https://www.bilibili.com/video/BV133411C7u5/

Click at the end of the article to read the original text

Python Why is it so hot ？

There are many reasons , List a few points ：

1. Grammar is easy to learn , Other languages 5 Something that can only be realized by lines of code ,Python One line fix ！ You can write a lot less code , So many students take Python Brush algorithm questions （ But be careful to understand the algorithm itself ）.
2. The class library is rich in Ecology , What you want to do is basically ready-made code , Just use it directly , Very convenient ！
3. Free and open source , Interested in 、 Capable students can study the source code by themselves .
4. Other features , For example, cross platform 、 Expandable etc .
5. As a data science 、 The preferred language of artificial intelligence , Stepped on the tuyere of the times .

So ,Python Pushed to the altar , Even in 2021 year 10 In the programming languages list of ,Python On the first ！

But it's such a door “ The eternal God ” Programming language , But it was said on the Internet ： To learn the Python No job found ！

Ah , Why? ？

Why? Python Not fit for a job ？

On the one hand is , Most businesses , No need Python To develop applications .

because Python The running speed of is too slow , Don't talk to the bottom C++ Than the ,Java Can dump it for a few blocks ！ And this is related to the design and implementation of the language itself , So even if you come up with any technology to optimize its performance , There is also a bottleneck after all , The best language in the world PHP Is the same .

And for businesses , performance It will directly affect the user experience and machine cost , Especially in this information explosion 、 We are all in the era of pursuing performance ,Python Its position in the field of application development is very embarrassing , And the development post happens to be a very high proportion of programmers .

On the other hand , although Python There are many application scenarios for 、 There are also many related positions , What is it again? AI、 The mainstream language of data science is , The future is beautiful . however , The difficulty of these cutting-edge technologies is not Python The code of the language itself , It's algorithms and ideas .Python Just a switch 、 It's just a tool to express your thoughts . So the threshold of these frontier positions is much higher than your entry Python、 Or listen to the training institutions draw cakes much higher , Algorithm post 、 The product posts of big factories are really immortal fights , And the majority of graduate students .

Learning goals

In this case , Then do I want to learn Python Well ？

In my submission ： Must learn ！

however , Be sure to think about your learning goals first , Different goals , Yes Python Their learning attitude and time invested are also different .

If you want to find a job in a development position , Like the above , It is not recommended that Python As your main language , But use it as your secondary weapon . Just learn Python Basics , You can write Python The script comes from automated office 、 Improve work efficiency 、 Make some gadgets , High cost performance .

If programming languages are tools , that Python Is the perfect interpretation of this sentence . One more artifact , Who doesn't love ？

If you want to find a job in another position , Such as operation and maintenance 、 test 、 Data analysis 、 The product manager 、 big data 、 Reptiles 、 Artificial intelligence 、 The image processing 、 Multimedia processing 、 Algorithm Research , Of course , Just if you target these positions , In addition to playing well Python Outside the foundation , It is more important to understand the thinking of the corresponding field 、 Methods and practices , Instead of just leading the library to transfer packages .

If you're a beginner or curious about programming , I also suggest you learn Python, interesting 、 Can learn 、 Can cultivate interest , These are very important for beginners , After being interested , Learning another language will be like a duck to water .

Study suggest

For beginners and non Python The practitioners of the post , Just put Python As a tool , Understand the basic syntax and common class libraries , Need to write Python Script time , Can use search engines and documents to write （ Or copy ） Just code . As long as you have learned other programming languages , Get started Python It's really easy ,3 - 7 You can learn it in a few days .

It is suggested to write more small examples , such as Python Process forms 、Python Handle PDF etc. , feel Python The power of the class library is over ~

The learning roadmap

Folded part , Still old , official account 【 Programmer fish skin 】 reply 【python】 Get mind maps ：

Learning route

Basics

• Python install
• development tool
  • PyCharm
  • Sublime
  • VS Code
• Variable
  • Defining variables
  • keyword
  • Naming rules
  • Basic data type
  • Type conversion
• Operators and Expressions
• Process control
  • Conditional branch
  • loop
• Basic data structure
  • character string
  • list
  • Tuples
  • aggregate
  • Dictionaries
• function
  • Definition
  • Parameter passing
  • Scope
  • lambda expression
  • Common built-in functions
• object-oriented programming
  • Classes and objects
  • The three major characteristics
    • encapsulation
      • self
      • attribute
      • Method
        • Class method
        • Example method
        • Static methods
      • Access control
    • Inherit
      • Single inheritance
      • Multiple inheritance
    • polymorphic
      • Method rewriting
  • Operator overloading
  • Decorator
  • Reflection
• modular
  • The import module
  • Common modules
    • Document processing
    • Date time
• package
  • Import package
  • Build package
• exception handling
  • Capture exception
  • try … else … finally structure
  • Custom exception
• File operations
  • Document opening and closing
  • File read and write

Advanced

• Function advanced
  • Closure
  • Anonymous functions
  • Generator function
  • Decorator
  • Higher order function
• Regular expressions
• Database programming
  • Database foundation
  • SQL To write
  • Inquire about
    • polymerization
    • grouping
    • relation
    • Sort
  • Business
  • Database design
  • Database tuning
• Concurrent programming
  • Synchronous and asynchronous
  • Blocking and non-blocking
  • Multithreading
  • Multi process
  • coroutines
  • Concurrent class library
• Network programming
  • Network foundation （ Seven layer model 、IP）
  • Network protocol （TCP、UDP、HTTP、HTTPS、FTP、DNS）
  • WebSocket

web Development

• Django frame
  • Installation and Demo
  • MVT layered
  • Model
    • Database foundation
    • ORM
      • Single table query
      • Multi-table query
      • Aggregate query
  • View
  • Templates
    • Template syntax
    • Static resources
  • route
  • Django Admin Management tools
  • test
  • conversation
  • authentication
  • Upload files
  • middleware
  • Advanced features
    • Pagination
    • cache
      • Local cache
      • Redis Distributed cache
    • serialize
    • The signal
    • celery Task scheduling
  • Restful API Development
    • Concept
    • Data serialization
    • Django Rest Framework
  • Deploy
  • Project practice
• Front end Foundation
  • HTML
  • CSS
  • JavaScript
• Flask frame

Reptiles

• Concept
• Legitimacy
• Data capture
  • Common network protocols （http / https） Concept
  • request
    • Request header
    • Request parameters
    • Request type
  • Respond to
    • Response head
    • Response parameter
  • requests modular
  • urllib modular
  • Simulated landing
  • static state / Dynamic website crawling
  • Headless browser
    • selenium
    • puppeteer
• Data analysis
  • Commonly used labels
  • BeautifulSoup
  • Regular expressions
  • xpath
• Export data
  • file
    • Excel
    • CSV
  • database
    • MongoDB
    • MySQL
  • middleware
    • Redis
• Scrapy frame
  • The core concept
    • Command line tools
    • Spiders
    • Selectors
    • Items
    • Item Loaders
    • The Conduit
    • Scrapy Shell
    • Link Extractors
  • Scheduler
  • Distributed crawlers
  • Deploy
• Concurrent asynchronous crawler
  • aioHttp
  • asyncio
• senior
  • IP agent
  • Verification code recognition
  • APP Grab
  • Incremental reptiles
• Project practice
• The crawler
  • Request header limit
  • Verification Code
  • Black and white list
  • Prohibition IP
  • Data encryption
  • Data confusion
  • behavior analysis

Automatic operation and maintenance

• Linux Environmental Science
• Shell scripting
• Script management
• Script release
• Python Yun Weiku
• Common operation and maintenance tools

Data analysis （ Data Science ）

• Environment building
  • Anaconda
  • Conda
  • Miniconda
  • Jupyter Notebook
• Common data structure
• Common class library
  • Numpy
    • Array
    • Indexes
    • section
    • Multidimensional arrays
    • function
  • Pandas
    • Series
    • DataFrame
    • Indexes
    • alignment
    • function
    • Statistics
• Data processing
  • Data cleaning
  • Hierarchical index
  • Data connection
  • Data merging
  • Group aggregation
  • Axial rotation
• Data visualization
  • matplotlib
  • seaborn
  • pyechart

Algorithm （ Artificial intelligence ）

Fish skin has little contact with artificial intelligence , Combined with the data of many great gods on the Internet , It also has certain reference significance .

• Mathematical basis
  • Advanced mathematics
  • linear algebra
  • probability theory
  • Statistical analysis
• machine learning
  • Feature Engineering
  • Model
    • Model classification
    • Model to evaluate
    • model training
    • Model tuning
  • Commonly used algorithm
    • Supervised and unsupervised learning
    • Return to （ Supervised ）
      • Linear regression
      • Decision tree
      • The integration algorithm
    • classification （ Supervised ）
      • Logical regression
      • Decision tree
      • Support vector machine
      • The integration algorithm
      • Bayesian algorithm
    • clustering （ Unsupervised ）
      • k-means
      • dbscan
    • Dimension reduction
      • Principal component analysis
      • Linear discriminant analysis
    • Advanced
      • GBDT Lifting algorithm
      • lightgbm
      • EM Algorithm
      • The hidden Markov model
  • multifactorial model
  • Commonly used libraries
    • Scikit-learn
  • Quantitative trading strategy
• Deep learning
  • Data preprocessing
  • Algorithm
    • neural network
    • Convolutional neural networks
    • Recursive neural network
    • Against generative networks
    • Sequential network model
  • Commonly used algorithm
  • Framework and platform
    • Tenserflow2
    • Pytorch
    • Keras
    • Caffe
• natural language processing
• The image processing
• Computer vision

Common class library

Python Can be widely used , Largely because of its rich class library , Is the code written and encapsulated by others in advance . Basically, you can find the corresponding class library for everything you want to do , Just look at the document directly , Greatly improve development efficiency ！

Open source project awesome-python-cn（ Address ：https://github.com/jobbole/awesome-python-cn） and awesome-python（ Address ：https://github.com/vinta/awesome-python） I've sorted out all directions for you Python Class library , A lot of them . On this basis, some relatively high-quality libraries were selected , Share with you .

Universal

Date processing

• delorean： Date processing library
• pendulum： Date time operation Library
• dateutil： To the standard datetime Powerful expansion of modules

Terminal optimization

• IPython： Feature rich interactive Python Parser
• Jupyter Notebook： Web based applications for interactive computing
• Prettytable： Produce beautiful ASCII A table of formats
• Colorama： Let the terminal have color
• bashplotlib： Basic drawing in terminal
• emoji： Support in Python The terminal outputs an expression
• Ipyvolume： stay Jupyter notebook Medium visualization 3d Volume and Glyph

Text processing

• FlashText： Efficient text search and replacement Library
• furl：url Processing library
• pypinyin： Chinese pinyin conversion tool
• simplejson：JSON Ed / decoder
• JMESPath：JSON Query syntax Library

other

• Pipenv：Python A new generation of package management tools officially recommended

• threading： Its own thread library

• multiprocessing： Built in multithreading Library

• Chardet： Character encoding detector

• logging： Log function

• PySnooper：Python Debugging tools

• sphinx：Python Document generator

• pyttsx3： Text to speech library

• PyWin32： Provide and windows Interaction

• shortuuid： Generating uniqueness uuid The library of

• more-itertools： Support iterative operation objects

• cryptography： Cryptography toolkit

Network request & analysis

• requests：HTTP Request Library
• aiohttp： asynchronous HTTP The network library
• scrapy： Distributed web page collection framework
• pyspider： A powerful crawler system
• BeautifulSoup： from HTML or XML A library that extracts data from a file
• you-get： Web Video Downloader
• wget： Web file download
• musicdl：Python Music Downloader

Document processing

• openpyxl：Excel Read and write library
• tablib： Process tabular data
• csvkit： For conversion and operation CSV Tools for
• XlsxWriter： operation Excel
• python-docx： operation office word file
• PyPDF2： operation PDF file
• pdfminer： from PDF A tool for extracting information from documents
• xhtml2pdf：HTML turn PDF Tools
• WeasyPrint： Visual Web pages , And supports exporting to PDF
• html2text： take HTML Convert to Markdown file
• xmltodict： Like dealing with JSON Handle it the same way XML
• moviepy： Script based video editing module
• eyeD3： Tools for operating audio files
• pyAudioAnalysis： Audio feature extraction and analysis

Interface development

• pyQT： Cross platform user interface development framework
• Turtle： Interactive painting Library
• pyglet： Cross platform interface and multimedia framework
• wxPython：Python User interface development tools
• Pygame： A set of... Used to develop games Python modular
• Manim：Python Math animation engine
• progressbar： A scroll bar function library
• progress： Progress bar output
• tqdm： Fast 、 Extensible progress bar

test

• nose： The test framework
• faker： Generate false data
• PyAutoGUI： Cross platform GUI Automatic test module
• coverage： Code coverage measurement
• sqlmap： Automatically SQL Injection and penetration testing tools

Web Development

• Django：Python The most popular web frame
• Django REST framework： Used to develop web api Framework
• FastAPI： Fast build web Applications
• flask：Python Micro frame
• Twisted： An event driven network engine

Operation and maintenance

• psutil： Cross platform process and system tool modules
• supervisor： Process control management system
• sh： Give Way Python Support shell Script
• dnspython：DNS tool kit
• scapy： Packet processing library
• pexpect： Control the interactive program in the pseudo terminal
• paramiko： Remote connection service
• Ansible：IT Automation platform
• SaltStack： Infrastructure automation and management systems
• watchdog： Manage file system events API and shell Tools

The image processing & Computer vision

• Pillow： Image processing library
• kornia： Computer vision library
• Opencv： Open source computer vision library
• Mahotas： Computer vision and image processing library
• Luminoth： Deep learning tool set of computer vision

Data analysis & Data Science

• NumPy： Numerical calculation toolkit
• Pandas： Mainstream data analysis tools
• pyecharts： Based on Baidu Echarts Data visualization Library of
• Dash： Fast build Web Data visualization applications
• matplotlib：Python 2D Drawing library
• Seaborn： Use Matplotlib Perform statistical data visualization
• python-recsys： Implement the library of the recommendation system
• vaex： High speed big data processing library
• SciPy： Algorithm and mathematical tool library
• blaze：NumPy and Pandas Big data interface
• statsmodels： Statistical modeling and Econometrics

Artificial intelligence

• Tensorflow： Google's most popular open source deep learning framework
• keras： Deep learning encapsulation Library , Fast start neural network
• Pytorch： With tensor and dynamic neural network , And have a strong GPU Deep learning framework for accelerating ability
• Caffe2： A light weight 、 modularization 、 Extensible deep learning framework
• scikit-learn： be based on SciPy Building machine learning Python modular
• PyMC： Markov chain Monte Carlo sampling tool
• mmdetection： Deep learning target detection toolbox
• imbalanced-learn： Unbalanced learning toolkit
• XGBoost： Distributed gradient enhancement library
• Gym： A toolkit for reinforcement learning algorithms

natural language processing

• NLTK： Natural language processing toolkit
• Gensim： Topic modeling library
• Pattern： Natural language processing tools
• fuzzywuzzy： Used for string fuzzy matching 、 Token matching, etc
• TextBlob： Provide consistent... For common natural language processing tasks API
• PyFlux： Time series processing library
• jieba： Chinese word segmentation tools

The outline

（ Outline ）

Position

• Tencent school recruitment Python Related positions ：https://join.qq.com/post.html?keyword=python
• Position salary query ：OfferShow Applet
• O & M Engineer
• Web Development Engineer （ Back end 、 The whole stack ）
• Test Engineer
• Data Analyst
• The product manager
• Algorithm engineer
  • machine learning
  • Computer vision
  • NLP
  • Multimedia processing
• Big Data Engineer
  • Big data development
  • data mining
• Web crawler Engineer
• Technology researcher

resources

video

Zero basis

• Qianfeng education 700 Set zero basis Python course ：https://www.bilibili.com/video/BV1R7411F7JV（ Very comprehensive , Basics 、web Development 、 Reptiles 、 Data analysis 、AI The basics are all talked about , There are plenty of examples ）
• Black horse programmer 600 Set Python course ：https://www.bilibili.com/video/BV1ex411x7Em（ More comprehensive , be based on Linux Environmental learning , With Python Basics + Focus on object orientation , It also includes some game development ）
• Python Full stack development tutorial ：https://www.bilibili.com/video/BV1wD4y1o7AS（ It's pure Python Basic course , Many cases , For a quick start ）
• Little turtle -《 Basic learning Python》 The latest version ：https://www.bilibili.com/video/av52080698（ unfortunately , It's half updated and gone ..）
• 【 MIT - Chinese subtitle version 】Python And the open course of introduction to Computer Science ：https://www.bilibili.com/video/BV1ty4y1x7xP（ It is suitable for students with good foreign languages to watch , Feel the foreign teaching atmosphere ）
• Alibaba cloud python Engineers learn ：https://developer.aliyun.com/graph/python（ Have online programming experience ）
• The official account of fish skin 【 Programmer fish skin 】 The background to reply Python, There is also a set of video lessons

other

• Web Development

  • Python Django Project practice course ：https://www.bilibili.com/video/BV1pq4y1W7a1
  • Python + Practical development of wechat applet ：https://www.bilibili.com/video/BV1Xy4y1s792（ Quite complete , Used backstage Django frame ）

• Data structure and algorithm

  • Python A complete set of data structures and algorithms 100 section ：https://www.bilibili.com/video/BV1uA411N7c5
  • 【 Peking University, 】 Data structure and algorithm Python edition （ Full version ）：https://www.bilibili.com/video/BV1VC4y1x7uv

• Reptiles

  • 2020 year Python Reptile full course （ What to do after learning ）：https://www.bilibili.com/video/BV1Yh411o7Sz
  • Python Fundamentals of crawler programming 5 It's a quick success ：https://www.bilibili.com/video/BV12E411A7ZQ（ A short introduction to reptile combat ）

• Data analysis

  • Self study data analysis course ：https://www.bilibili.com/video/BV1ZM4y1u7uF（ Very pure data analysis + Visualization course , Suitable for office party to get started quickly ）
  • Complete data analysis course ：https://www.bilibili.com/video/BV1vV411p7D6（ Data analysis + machine learning , It's comprehensive ）
  • Python Introduction to data analysis video collection ：https://shimowendang.com/docs/36pykCPH6XCjKJcv/read

• other

  • Finish the face recognition project in one day （python+opencv）：https://www.bilibili.com/video/BV1Lq4y1Z7dm

  • Python Office automation ：https://www.bilibili.com/video/BV1uv411W7Fi（ Mainly dealing with Excel）

Books

• 《Python Programming ： From introduction to practice 》：https://www.code-nav.cn/rd/?rid=cbddf0af6064484f002658102cdbba17
• 《python Learning manual 》：https://www.code-nav.cn/rd/?rid=79550af260643c8e0ce47ab84633e200
• 《 Stupid law enforcement Python3》：https://www.code-nav.cn/rd/?rid=b00064a760643bb90cbba72836995fd5
• 《Python Programming fast 》（ The first 2 edition ）：https://book.douban.com/subject/35387685/
• 《Python Cookbook Chinese version 》（ The first 3 edition ）：https://book.douban.com/subject/26381341/
• 《 The programming journey of father and son 》：https://www.code-nav.cn/rd/?rid=8937eaa9615519680ed81c0e3165ee65
• 《Python Deep learning 》https://www.code-nav.cn/rd/?rid=2d44d6c261624dd31224ed1b5841920c
• 《Python The actual battle of web crawlers 》 The first 2 edition ：https://www.code-nav.cn/rd/?rid=b00064a7606440d40cbc2fca19192e4f
• 《Python Data Science Handbook 》：https://book.douban.com/subject/27667378/
• 《 utilize Python Data analysis 》：https://book.douban.com/subject/25779298/
• 《 Lightweight Django》：https://www.code-nav.cn/rd/?rid=28ee4e3e60641fd60d91fd2441418491
• Programming navigation - Super many Python Books can be downloaded directly for free ：https://www.code-nav.cn/topic/Python（ Select the book label ）
• Python Guide（ english ）：https://docs.python-guide.org/

file

• Python Introductory tutorial （ Novice tutorial ）：https://www.runoob.com/python3/python3-tutorial.html（ You can write code online and practice ）
• Python Introductory tutorial （W3Cschool）：https://www.w3cschool.cn/python3/（ Support mobile reading ）
• Python Chinese learning base ：http://www.pythondoc.com/（ A collection of documentation tutorials ）
• Python 100 God ：https://github.com/jackfrued/Python-100-Days
• Liao Xuefeng Python Introductory tutorial ：https://www.liaoxuefeng.com/wiki/1016959663602400
• Don't worry about it Python course ：https://mofanpy.com/（ Including the foundation 、 Data processing 、 Machine learning, etc , Part of the content has video ）
• Django The official tutorial ：https://docs.djangoproject.com/zh-hans/3.2/intro/tutorial01/
• Manim Animation engine tutorial ：https://docs.manim.org.cn/shaders/
• A Byte of Python：https://python.swaroopch.com/（Python Introduction to English ）
• Google Python Code specification ：https://google.github.io/styleguide/pyguide.html

actual combat

• Blue bridge cloud class Python A collection of actual combat ：https://www.lanqiao.cn/courses/?fee=free&tag=Python
• Tencent cloud online Python experiment ：https://cloud.tencent.com/developer/labs/gallery?tagId=23
• Alibaba cloud Python Introductory experiments ：https://developer.aliyun.com/adc/scenario/e04fe73ad95d4782aef7aecca206196e
• Huawei cloud sandbox lab ：https://lab.huaweicloud.com/testList.html
• Python123：https://python123.io/index（ Online programming , Some classes charge ）
• CheckiO Game Science Python：https://py.checkio.org/
• Interactive learning through testing Python（ english ）：https://github.com/gregmalcolm/python_koans
• Interactive Python Challenge （ english ）：https://github.com/donnemartin/interactive-coding-challenges
• Through project learning Python（ english ）：https://github.com/practical-tutorials/project-based-learning#python
• Interactive learning through examples Python（ english ）：https://github.com/jerry-git/learn-python3

Code

• Data structures and algorithms Python Realization ：https://github.com/keon/algorithms
• 《 The finger of the sword Offer》 Algorithm interview questions Python Realization ：https://github.com/JushuangQiao/Python-Offer
• Design patterns Python Realization ：http://www.pythontip.com/python-patterns/detail/abstract_factory
• Python Machine Learning Code ：https://github.com/rasbt/python-machine-learning-book-3rd-edition
• Python Little script ：https://github.com/RealHacker/python-gems

Collection

• GitHub Python Prefecture ：https://github.com/topics/python

• Neural network and deep learning related framework ：https://github.com/ChristosChristofidis/awesome-deep-learning

• Machine learning related libraries ：https://github.com/josephmisiti/awesome-machine-learning#python

• Open source Python Application complete ：https://github.com/mahmoud/awesome-python-applications

• Python A complete collection of class libraries ：https://github.com/vinta/awesome-python

• Python A complete collection of class libraries （ Chinese version ）：https://github.com/jobbole/awesome-python-cn

• Python Asynchronous Daquan ：https://github.com/timofurrer/awesome-asyncio

• jupyter relevant ：https://github.com/markusschanta/awesome-jupyter

• Python book ：https://github.com/Junnplus/awesome-python-books

• Python book （ Chinese version ）：https://github.com/jobbole/awesome-python-books

• StackOverflow Python Prefecture ：https://stackoverflow.com/questions/tagged/python（ It is necessary to solve the problem ）

• Nuggets Python Prefecture ：https://juejin.cn/tag/Python（ Look at the technical article ）

Community

• PythonTab：https://www.pythontab.com/（ chinese Python Developer community ）
• Learnku Python Technology Forum ：https://learnku.com/python
• Open source in China ：https://www.oschina.net/（ Comprehensive open source community ）

Tools

• Python Online programming （ Novice tutorial ）：https://c.runoob.com/compile/6/
• Tencent cloud Python Online manual ：https://cloud.tencent.com/developer/devdocs
• Python Online manual summary ：https://docs.pythontab.com/

Interview questions

• Cattle guest Python Special exercises ：https://www.nowcoder.com/intelligentTest
• Cattle guest Python test questions ：https://www.nowcoder.com/search?query=python&type=question
• Niuke machine learning interview question ：https://www.nowcoder.com/search?type=question&query=%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0
• Niuke machine learning written test ：https://www.nowcoder.com/search?type=paper&query=%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0
• Python Arrange interview questions ：https://github.com/taizilongxu/interview_python（ High star ）
• Python Arrange interview questions ：https://github.com/kenwoodjw/python_interview_question
• Machine learning interview questions ：https://geektutu.com/post/qa-ml.html

other

• Python common problem ：https://docs.python.org/zh-cn/3/faq/general.html（ Official ）
• GitHub Python trend ：https://github.com/trending/python
• Python Module recommendation ：https://pymotw.com/3/
• Python Exercise books ：https://github.com/Yixiaohan/show-me-the-code（ some Python Exercise questions ）

The end of the

The above is the fish skin, which has been boiled for a few days and nights 、 Combined with personal experience 、 And refer to a large number of online videos 、 The learning route summarized by articles and comments , It's really not easy , If you are satisfied, please be sure to order Fabulous Under the support .

I'm fish skin , Programmers who continue to share programming dry goods , Welcome to your attention , See you next time ~