"Benefits" All-network hottest Python3 Getting Started + Advanced faster practical development

Recently a lot of friends asked me how to learn python, so this issue for everyone to share the benefits are "the hottest Python3 online + advanced Faster practical development" course, the course will take you from the basic primer Pyhon3, Master the python3.x version grammar, and explain the Python usage techniques and data structure and other related knowledge.

01

Python Introductory Guide

Describes Python's features, strengths, weaknesses, prospects, and the content, focus, and characteristics of the course.

02

Python Environment installation

Install Python's compilation environment in one click and write the first Python code.

03

Basic types of Python

This chapter details the basic types of Python, including shaping, floating-point, 10, 8, 2, 16, and conversion relationships, Boolean types, and string and string common operations.

04

The concept and definition of "group" in Python

This chapter details the concept of "group" and some of the types used in Python to represent "groups", including: tuples, lists, collections, and dictionaries.

05

Variables and operators

This chapter explains in detail the meaning of variables and seven operators, and gives a detailed explanation of the expansion of each operator.

06

Branching, looping, conditions, and enumerations

This chapter is the basic logical structure of code, including conditional control (if else), loop control (for in, while), and precedence of expressions and operators. In addition, we will explain Python's enumeration types in this chapter. In addition, we will explain the specifications for Python coding.

07

packages, modules, functions, and variable scopes

This chapter explains the organizational core of Python code: packages, modules, and functions, respectively. After studying this chapter you will have a very clear understanding of the organization structure of Python code. The focus is on functions, and we'll talk about Python's flexible function parameter mechanisms (default, keyword, and list parameters) in addition to explaining the basic concepts of functions.

08

Python functions

Functions are the basic code structure that is available in all languages. The importance of functions is self-evident. For Python, the use of functions and their flexibility is far more powerful than in other languages. This section details the definition of Python functions, calls, sequence unpacking, required parameters, keyword parameters, default parameters, and many other things.

09

Object oriented

This chapter explains the concept of object-oriented in detail. Includes three object-oriented features (inheritance, encapsulation, polymorphism), basic constituent elements of a class, Python's built-in class properties, method overrides, operator overloading, static methods, and more

10

Regular Expressions and JSON

This chapter is the basis of the native crawler. Regular expressions are also a very important point of knowledge in text parsing. In this chapter we will explain how to write regular expressions and common regular expressions in Python. In addition, JSON as a very important data format, we will focus on, including JSON object, JSON string, Python type and JSON conversion.

11

Advanced syntax and usage of Python

In this chapter we uncover the advanced features of the step-by-Step Python section, detailing enumerations, closures, and introducing functional programming.

12

Function-Type programming

This section further describes the lambda, mapeduce, filter, and adorner for functional programming.

13

Actual combat: Native crawler

In this chapter we will learn how to access network data, get and parse network data, and explain the basic principles of crawlers. and lead you to a native crawler project that uses the most basic syntax without the crawler framework.

14

Pythonic and Python Essays

We will massively expand Python's good writing and learn how to write high-quality pythonic-style code. Includes: How to keep the dictionary in order, LMBDA expression application and other advanced Python knowledge.

How do I get it?

Follow the "Wood can be Big" subscription number.

"Benefits" All-network hottest Python3 Getting Started + Advanced faster practical development