Summary of Python learning knowledge points (entry, advanced, web development, data crawler, artificial intelligence).pdf

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Although Python is recognized as a programming language with concise syntax, some people still ask how difficult it is to learn Python, after all, everyone’s acceptance level is different.

The Internet is changing rapidly. While you are learning, the needs of enterprises are constantly changing. In order to ensure that what you have learned is exactly what the enterprise needs, and you have learned the technologies that are not outdated, you must keep up with the trend. Combined with learning efficiency and learning effect, if you really want to get into Python, you must study systematically. Let’s take a look at the stages that Python needs to learn.

The ten stages of Python learning are shown below to see which stage you are in now. Friends who want to learn can also plan their learning according to this stage. At the same time, it is a collection of knowledge points in the 10 major stages of PYTHON learning, which can be very good to check for omissions and fill in the gaps. Through the included test questions (231 employment-level real questions) at each stage, you can search whether you are really familiar with the knowledge system at each stage. To achieve true employment-level skill proficiency! The process of studying hard.

Scan the code to note “10 major stages” to receive

Stage 1: Python Basics [Beginners]

  • Basic grammar
  • type of data

Basic grammar

type of data

Stage 2: Advanced Python Programming [Up-and-coming]

Proficient in advanced usage of Python

  • metaclass
  • Memory management and recycling mechanism
  • function
  • Design Patterns
  • object oriented
  • regular expression
  • system programming
  • network programming

  • Html

  • Css

  • Java

  • j Qurey

  • vue.js

Html

Css

Java

j Qurey

vue.js

Stage 4: Web Backend Development

  • Flask
  • Django
  • Tornado

Stage 5: Data Crawler [Famous and Moving Quartet]

  • Crawler Basic Modules and Class Libraries
  • Scrapy framework
  • Scrapy+ Redis distributed crawler
  • custom frame

custom frame

Stage 6: Shell and automated operation and maintenance

Stage 7: Automated Testing [Megatron Rivers and Lakes]

  • Introduction to operation and maintenance and Shell, Shell programming
  • Shell common tools
  • Nginx function, Nginx configuration, introduction to automated deployment, Fabric

Stage 8: Database [Shocking the Ancients and the Present]

  • Mysql
  • MangoDB
  • Redis

Mysql

MangoDB

Redis

Stage 9: Data Structures and Algorithms [Avenue to simplicity]

  • Proficiency in common data structures
  • Familiar with common sorting algorithms
  • Familiar with tree traversal algorithms

Proficiency in common data structures

Familiar with common sorting algorithms

Familiar with tree traversal algorithms

Stage 10: Artificial Intelligence [Treading the Void]

  • Proficient in data cleaning, analysis and visualization related technologies
  • Master common machine learning algorithms
  • Preliminary mastery of deep learning using Tensorflow

Overview of data content:

The content is nearly 400 pages in total, and the space is limited, so I will not show it in detail.

Remember to note “Top 10 Stages

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