Teach you how to quickly learn Python for beginners

Code entry in progress 2022-06-23 16:52:09 阅读数:981


In this paper , We will introduce how to learn effectively Python . You should know 「  Data Science 」 It's used to solve 、 The science of exploring problems and extracting valuable information from data .

To do this effectively , You need to organize the data set 、 Training machine learning models 、 Visualization results, etc .

This is learning. Python The best time .

in fact , From the perspective of employment demand growth , Forbes put it   Top ten technical skills .  Today, let's discuss why ……

Why study Python?

Python It is one of the most widely used languages in the world , It has a passionate user community :

Python Popularity ,TIOBE Index

It has a more loyal following in the data science profession .

Some people pass 「 Hello , The world !」 To judge the quality of the programming language . By this standard ,Python Can do very well :

print( "hello, world!" )

For comparison , Here is Java Same output in :

public class Main {
 public static void main(String[] args) {
 System.out.println("hello, world!"); }}

ok , No kidding ,  Simple   yes Python One of the biggest advantages of . Because of its precise and efficient Syntax ,Python You can do the same thing with less code than other languages . This makes the speed of implementing the solution refreshing .

Besides ,Python red-blooded   Data science community   This means that you will be able to find a large number of tutorials 、 Code snippets and fixing common errors  . Stackoverflow  take   Be one of your best friends .

Last ,Python Have for data analysis and machine learning    All star library  ( It's also called a bag ) squad , This greatly reduces the time required to produce results . These will be described in detail later .

How to learn effectively Python ?

Before we discuss what you need to learn , Let's discuss what you don't need .

You don't need to CS Academic degree .

Most data scientists never deal with things like memory leaks 、 Cryptography or 「Big O」 Symbols and so on . As long as you can use Python or R And so on 、 Logical code , That's all right. .

You don't need complete Python Course .Python Not synonymous with data science .

You don't have to remember all the grammar .

contrary , Focus on mastering intuition , Examples of how a function fits or how a conditional statement works . Search on Google 、 After reading the documentation and good practices , You will gradually learn grammar .

We suggest a top-down approach .

We advocate a top-down approach , The goal is to get results first , Then consolidate the concept over time . in fact , We prefer to give up 「 Classroom 」 Study , Turn to practice in the real world .

This method allows you to have more fun while quickly mastering .

adopt Anaconda install Python 

Install... On your computer Python There are many ways , But we recommend  Anaconda  Bundles   bundle   Bundle , It contains libraries for data science .

One 、 Core programming concepts

Effective programming is not about remembering grammar , It's about mastering a new way of thinking .

therefore , Take the time to lay a solid foundation for core programming concepts . These will help you translate the solutions in your mind into the instructions of your computer .

If you are a beginner in programming ....... We recommend excellent ‘ Automate the Boring Stuff with Python’  A Book , The book has been published online for free under the Creative Commons license .

This book promises 「 Provide practical programming for beginners 」, And let every class be down-to-earth .

If you need this book , Please click the link below :


You should be able to answer the following questions :

• Integers 、 What is the difference between floating point numbers and strings ?

• How to use Python As a calculator ?

• What is? for loop ? When do I write a ?

• What is the basic structure of a function ?

• How to use conditional statements (if...else...) To add logic ?

• How import statements work ?

If you want to practice more core programming concepts , Please check out the following resources .

• Code Fights  yes   A platform , There are many short coding challenges , Can be in 5 Done in minutes ( Although it is very interesting , You may find yourself playing for hours at a time ). You will earn points in the process   And unlock the new level , This is also a good way to track your progress .

• Python Challenge  Is one of the coolest puzzles on the Internet , So don't let it 1990 The figures of the year frighten . You can Python Complete all with the help of scripts 33 A level . One user called it 「 An addictive learning Python Details of the way ……」 I agree with !

• PracticePython.org  yes Python A collection of short exercises in . It updates a new question almost every week . The really good thing is that the author includes solutions submitted by multiple users for each problem , So you can see alternative solutions to them .

•  How to Think Like a Computer Scientist    It's a great interactive online book , It passes through key programming concepts ( Use Python) Conducted a   A whirlwind tour . If you are completely new to programming , This may be a good choice . It's like a condensed 「CS 101」 Course .

Two 、 Caricature Python

  You may be ......

Pupils who want to learn programming , The middle school students who take part in the computer competition , College students majoring in computer science , People who are engaged in software development , They are all very suitable !

1、 In each chapter, there are “ use one's hands ” link , You can find application examples in the link

2、 At the end of each chapter “ practice ” link , You can find synchronous exercises in this link

The book totals 16 Chapter , As follows .
The first 1 Chapter introduction Python The history and characteristics of , And build the development environment .
The first 2~5 Chapter introduction Python Basic knowledge of , Including data types 、 expression 、 Process control, etc .
The first 6~7 Chapter introduction Python Common container type data and string data .
The first 8~11 Chapter introduction Python Advanced content of , Include function 、 Classes and objects 、 exception handling 、 Common built-in modules, etc .
The first 12~16 Chapter introduction Python How to use the utility library , Including file reading and writing 、 Graphical user interface 、 Network communication 、 Database access and multithreading .

  If you need this book , Please click the link below :


Let's do it ! Begin to learn !!

There are better suggestions and learning methods that can be discussed in the comment area ~

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