Angry liver half moon! Python learning route + resource summary

Programmer fish skin 2021-10-28 18:57:57
angry liver half moon python

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 !

TIOBE Programming language leaderboards

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 :

 Fish skin - Python Learning route

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 ~

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https://pythonmana.com/2021/10/20211013030341276R.html

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