Recommend a few good books about Python-Python Tutorial-php.cn

Home

Backend Development

Python Tutorial

Recommend a few good books about Python

零下一度

Jul 09, 2017 pm 06:20 PM

pythonabout

Ten books not to be missed Python are suitable for people at three different stages: entry, advanced and advanced. Interested friends can refer to it.

In previous articles, the editor has recommended many Python books to everyone. It can be said that the varieties are complete and the books are classics. I wonder if you are already dazzled and don’t know which one to choose? Today I will share with you ten good Python books that cannot be missed, which are suitable for people at three different stages: entry, advanced and advanced.

Python High PerformanceProgramming

Amazon Five-star bestseller.

Must read for beginners and advanced Python.

It’s not enough for Python code to run correctly, you need to make it run faster.

Core Programming in Python (3rd Edition)

(Click on the book , can be downloaded directly)

series has sold more than 70,000 copies.

Advanced book for Python masters, with detailed explanations of general applications and web development.

A must-read desk study manual for Python developers.

Comprehensive coverage of many areas in today's application development, providing practical methods for intermediate Python developers.

Covers a large number of practical code cases, and the exercises at the end of each chapter help consolidate the knowledge learned.

Python Geek Project Programming

Advanced book for Python masters.

14 interesting Python project cases.

Master practical Python programming skills.

Practical Guide to Python Machine Learning

Python machine learning introductory book.

Combines two popular fields of machine learning and Python language.

Teach you how to use machine learning to collect, analyze and manipulate large amounts of data.

Python machine learning predictive analysis core algorithm

Python personnel improve the machine A primer on study skills.

Focus on two core "algorithm families", namely penalized linear regression and ensemble methods.

Understand machine learning from the perspective of algorithms and Python language implementation.

Write a web crawler in Python

(Click on the book to go directly Download)

Comprehensive analysis of the implementation principles of crawler technology.

Use the power of Python to crawl data from any website.

Suitable for readers who have some Python programming experience and are interested in crawler technology.

Get started quickly with Python programming - automate tedious work

（ Click on the book to download it directly)

Introductory Python book.

This book provides supporting electronic source code for free.

A practical guide to Python programming.

Python Data Science Guide

Introductory book on Python data analysis programming.

The best work of the author with more than 15 years of experience in the field of data mining and machine learning.

More than 60 practical development tips to help you explore Python and its powerful data science capabilities.

The Road to a Python Master (3rd Edition)

Introduction to Python Advanced Book .

The author’s experience summary when developing OpenStack, a large-scale project.

Focus on how to use Python programming to effectively solve problems and how to build good Python applications.

Python Reference Manual (4th Edition·Revised Edition)

## A classic book on Python programming.

A must-have for Python programmers’ desks.

Covers features common to Python2 and Python3.

The above is the detailed content of Recommend a few good books about Python. For more information, please follow other related articles on the PHP Chinese website!

Statement

The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

Python vs. C : Understanding the Key DifferencesApr 21, 2025 am 12:18 AM

Python and C each have their own advantages, and the choice should be based on project requirements. 1) Python is suitable for rapid development and data processing due to its concise syntax and dynamic typing. 2)C is suitable for high performance and system programming due to its static typing and manual memory management.

Python vs. C : Which Language to Choose for Your Project?Apr 21, 2025 am 12:17 AM

Choosing Python or C depends on project requirements: 1) If you need rapid development, data processing and prototype design, choose Python; 2) If you need high performance, low latency and close hardware control, choose C.

Reaching Your Python Goals: The Power of 2 Hours DailyApr 20, 2025 am 12:21 AM

By investing 2 hours of Python learning every day, you can effectively improve your programming skills. 1. Learn new knowledge: read documents or watch tutorials. 2. Practice: Write code and complete exercises. 3. Review: Consolidate the content you have learned. 4. Project practice: Apply what you have learned in actual projects. Such a structured learning plan can help you systematically master Python and achieve career goals.

Maximizing 2 Hours: Effective Python Learning StrategiesApr 20, 2025 am 12:20 AM

Methods to learn Python efficiently within two hours include: 1. Review the basic knowledge and ensure that you are familiar with Python installation and basic syntax; 2. Understand the core concepts of Python, such as variables, lists, functions, etc.; 3. Master basic and advanced usage by using examples; 4. Learn common errors and debugging techniques; 5. Apply performance optimization and best practices, such as using list comprehensions and following the PEP8 style guide.

Choosing Between Python and C : The Right Language for YouApr 20, 2025 am 12:20 AM

Python is suitable for beginners and data science, and C is suitable for system programming and game development. 1. Python is simple and easy to use, suitable for data science and web development. 2.C provides high performance and control, suitable for game development and system programming. The choice should be based on project needs and personal interests.

Python vs. C : A Comparative Analysis of Programming LanguagesApr 20, 2025 am 12:14 AM

Python is more suitable for data science and rapid development, while C is more suitable for high performance and system programming. 1. Python syntax is concise and easy to learn, suitable for data processing and scientific computing. 2.C has complex syntax but excellent performance and is often used in game development and system programming.

2 Hours a Day: The Potential of Python LearningApr 20, 2025 am 12:14 AM

It is feasible to invest two hours a day to learn Python. 1. Learn new knowledge: Learn new concepts in one hour, such as lists and dictionaries. 2. Practice and exercises: Use one hour to perform programming exercises, such as writing small programs. Through reasonable planning and perseverance, you can master the core concepts of Python in a short time.

Python vs. C : Learning Curves and Ease of UseApr 19, 2025 am 12:20 AM

Python is easier to learn and use, while C is more powerful but complex. 1. Python syntax is concise and suitable for beginners. Dynamic typing and automatic memory management make it easy to use, but may cause runtime errors. 2.C provides low-level control and advanced features, suitable for high-performance applications, but has a high learning threshold and requires manual memory and type safety management.

See all articles