Compared with traditional industries, the IT industry has a faster development and update speed. Once it stops learning, it will soon be eliminated by the industry. However, we must be clear: only those who are at the junior level and those who are skilled in technology are eliminated. It is always scarce. Therefore, we still have to be steadfast in learning.
The same is true for self-study of Python. Don’t keep collecting various information websites, buying various books, and downloading a large number of instructional videos. After a few days, the enthusiasm for learning begins to fade, and a few more weeks , And finally completed the learning course-"From entry to giving up". Therefore, learning Python requires one step at a time, and learn it down-to-earth.
Before I talk about how to get started with Python, I personally recommend that everyone have their own FQ tools, use Google to search more, look at the world outside the wall, and look at the open source projects on Github.
As for how to FQ, here are the tools I have used: FQ Tool Set
I believe many people will look for various learning materials when learning a certain programming language. To be honest, there are too many materials, but they are useless. According to one's study habits and personal ability, just choose a resource and stick to it.
Because everyone's needs are different, here is a collection of good learning materials for Python:
- [Python Blog Site Resources](/Res/Python Blog Site Resources.md)
There are also some interesting websites:
For getting started, it is mainly to master the basic grammar and familiar with the programming specifications, so most of the tutorials are basically the same, so it is recommended to choose a tutorial that suits you and stick to it.
In Getting Started with Python, I wrote a series of articles on "Grassroots Learning Python", which is a series of tutorials on Python introduction based on Python 3.6. For better reading, I organize it in [GitBook](https://www.readwithu .com/), I hope to help you get started with Python.
Note: On February 27, 2018, the introductory part of basic knowledge has been completed. Recently, readers reported that some pictures could not be opened (previously the pictures were placed in Qiniu Cloud, using temporary links. Recently Qiniu Cloud turned this off, which caused the pictures to be unable to be opened), and I have some problems with the previous content. Satisfied, it was decided to make another revision starting on July 7, 2019. But here is an explanation, because I used a windows computer when I wrote it, and now I use a mac, so some examples are screenshots of windows and some are screenshots of mac, don't be surprised.
The main directories are as follows:
- Why learn Python?
- Python Code Specification -Concise Overview -Comment -Naming Specification
- The first Python program -Python Introduction -Python installation -The first Python procedure -Integrated Development Environment (IDE): PyCharm
- Basic data types and variables -Brief description of Python syntax -print() function -Python basic data types -String encoding problem -Basic data type conversion -Variables in Python
- List and Tuple -List(List) -tuple (tuple)
- Dict and Set -Dictionary (Dictionary) -set
- Conditional Statement and Loop Statement -Conditional Statement -Cycle Statement -Comprehensive examples of conditional statements and loop statements
- Function -Basic steps of Python custom function -Function return value -Function parameters -Function Passing Value Problem -Anonymous Function
- Iterator and Generator -Iteration -Python Iterator -list production (list production) -Generator -Comprehensive example of iterator and generator
- Object Oriented -Object-Oriented Concept -Class definition and call -Class Method -Modify and add class attributes -Class and Object -Initialization function -Class inheritance -Class Polymorphism -Class Access Control
- Modules and packages -Introduction to Python Module -Use of Module -Main module and non-main module -Package -Scope
- Python Magic Method
-Python Magic Method
-Construction (
__new__) and initialization (__init__) -Access Control of Attributes -Object Descriptor -Custom Container (Container) -Operator related magic methods - Enumeration Class -Use of enumeration class -Enum source code -Enumeration of custom types -Comparison of enumerations
- Metaclass
-Classes in Python are also objects
-Use
type()to create classes dynamically -What is a metaclass -Custom Metaclass -Use metaclass - Threads and Processes -Threads and Processes -Multithreaded Programming -Process
- Learn about regular expressions step by step -First understanding of Python regular expression -Character Set -Quantifier -Boundary match and group -re.sub -re.match and re.search
- Closing
- Decorator
- [Python keyword yield](/Article/supplement/Python keyword yield.md)
- [Use Python virtual environment](/Article/advanced/Use Python virtual environment.md)
- [Use virtualenv and virtualenvwrapper in Mac](/Article/advanced/Use virtualenv and virtualenvwrapper.md in Mac)
There are many different web frameworks under Python. Django is the most representative of the heavyweight players. Many successful websites and apps are based on Django.
If you have some information on your own basics, you can try the [Django blog from building to deployment series tutorial] (https://simpleisbetterthancomplex.com/series/2017/09/04/a-complete-beginners-guide- to-django-part-1.html) to get started, this tutorial is very detailed, and there are many interesting pictures. However, because of the wall, many people will not be able to access it. Even if they do, they will not read patiently because they are in English. Therefore I plan to translate this tutorial.
- [A complete beginner's guide Django-part1](/Article/django/A complete beginner's guide Django-part1.md)
- [A complete beginner's guide Django-part2](/Article/django/A complete beginner's guide Django-part2.md)
Continually updated....