Python language 3-step quick start, resume bold fill: have learned this language!

Python topped the 2017 programming language charts, and many fans expressed strong interest in the project.

At the urging of fans, w3cschool will talk about Python's approach to getting started this time.

Here's a direct look at today's topic:

Zero basic programming, python is a good choice. Because python is more readable than other mainstream programming languages, it's relatively easy to get to work.

If you are a small partner with programming experience, you can basically learn the most basic content of python in 1 week.

But for some little whites, there are more or less some problems:

1, understand grammar, but after learning a period of time is strange again.

2, for the tutorial common sense problems do not understand, because the tutorial does not specifically explain in this regard.

3, encountered problems do not know how to find a solution

4, online learning materials are complex, dazzling, east one head west a stick, learning can not form a system, little effect.

......

Zero programming foundation, learn python although more difficult, but if the direction is right, not afraid of how far the road!

In response to these questions, w3cschool summarizes the more common methods used to get started in Python for your reference.

1, choose the right tutorial

Python Xiaobai learns this language first to form a whole framework in the mind, reading book tutorials is the only choice.

w3cschool suggests using the Concise Python Tutorials Swaroop, C. H. books as introductory tutorials, because the book is simple and suitable for novices.

2, emotional understanding

Choose a complete set of videos to quickly sense the concepts of python in order to form a holistic understanding. This process is also indispensable!

3, learn Python basic content

Some xiaobai if you learn Python basic content, you can rest assured in the resume bragging, said that they practice Python "God's work."

Python basic content includes common built-in types (int, float, bool, bytes, str, etc.) usage, branchif-else loop iteration for syntax, def definition functions, calling functions, classes, exceptions, and so on.

But in order to be better advanced, you also need to learn Python language level, in layman's terms, this is internal work, not much nonsense, directly on the map:

There is no internal work naturally can not be separated from external work, training foreign work can start from familiar with the Python standard library, these modules can enter the standard library to show that they are good enough, here are some of the most commonly used in practice: random random, regular expression re, system call os, Python object serialization pickle, multi-process multithreaded threading, multiprocessing, network socket, urllib and so on.

Finally, I hope you can work hard inside and outside, keep refining, one day become python master!