Best python programming books
Posted on 07-24-2017 by
Python is one of the most used languages by developers and IT professionals all over the world. And you can understand how vast and deep this language is. If you're finding the right book on Python, this article can help you. read more To give you a kick start in Python, here I've listed some of the best books in Python that will surely help you to make your decision.
1. Python Crash Course: A Hands-On, Project-Based Introduction to Programming
With this unique book, get a comprehensive overview of programming with Python to write programs, solve problems, and make things.
What you'll learn:
- Basic programming concepts, such as lists, dictionaries, classes, and loops
- How to make your programs interactive and test your code safely before adding it to a project
- To work with Python libraries and tools, including matplotlib, NumPy, and Pygal
- A Space Invaders-inspired arcade game
- Data visualizations with Python's super-handy libraries
- A simple web app you can deploy online
- Deal with mistakes and errors so you can solve your own programming problems
2. Learning Python, 5th Edition
Learning Python offers a comprehensive, in-depth introduction to the core Python language. This book will help you to write efficient, high-quality code with Python. Whether you’re new to programming or a professional developer versed in other languages, it is the best reference book for you.
What you'll learn:
- Python’s major built-in object types such as numbers, lists, and dictionaries
- Python’s general syntax model to create and process objects with Python statements
- How to avoid code redundancy using functions and package code for reuse
- Using modules to organize statements, functions, and other tools into larger components
- Creating classes for structuring code
- Employing Python’s exception-handling model and development tools to build larger programs
- Advanced Python tools such as Unicode processing, descriptors, decorators, and metaclasses
3. Automate the Boring Stuff with Python: Practical Programming for Total Beginners
If you want to write such programs in Python that will do your tedious, boring, and unproductive work that takes hours of your day but you have no prior programming experience, read this unique book. With Automate the Boring Stuff with Python, master the basics of programming and create Python programs that effortlessly perform useful and impressive feats of automation.
What you'll learn:
- Program for searching text in a file or across multiple files
- To create, update, move, and rename files and folders
- To search the web and download online content
- Program to update and format data in Excel spreadsheets of any size
- Automating the process to split, merge, watermark, and encrypt PDFs
- To send reminder emails and text notifications
- To fill out online forms
4. Python Pocket Reference: Python In Your Pocket (Pocket Reference (O'Reilly))
It is an updated reference guide for both Python 3.4 and 2.7. You'll get all the required information on Python types and statements, built-in functions, special method names, and exceptions, commonly used standard library modules and other prominent Python tools.
What It covers:
- Python's built-in object types such as numbers, dictionaries, and lists
- All the syntax and Statements for creating and processing objects
- Functions and modules in Python
- Object-oriented programming
- Built-in functions, attributes, and exceptions
- Operator overloading methods for all types
- Standard library modules and extensions of Python
- Python's command-line methods and development tools
- Python idioms and hints and SQL Database API
5. Python Programming: An Introduction to Computer Science
This book is intended to be used as the primary textbook in a college-level first course in computing. It takes a fairly traditional approach, emphasizing problem-solving, design, and programming as the core skills of computer science. And all these ideas are illustrated using Python. But just teaching Python is not the main point of this book. Rather, Python is used to illustrate fundamental principles of design and programming that apply in any language or computing environment.
6. Learn Python in One Day and Learn It Well: Python for Beginners with Hands-on Project. The only book you need to start coding in Python immediately
Do you believe that you can learn Python in one day? Well, this book can make this happen. This is because, in this book, complex concepts are broken down into simple steps to ensure that you can easily master the Python language even if you have never coded before.
What you'll learn:
- Overview of Python language
- How to run python programs in your device.
- Basics concepts of python, including variables, mathematical operators, Lists, and Tuples
- How to format strings
- Working with inputs and outputs
- How to handle errors and exceptions
- Python's functions and modules
- Working with external files
7. Python Programming for Beginners: An Introduction to the Python Computer Language and Computer Programming
If you are a complete beginner in programming without any prior knowledge of Python or computer programming, you can be benefited from this book. Python Programming for Beginners doesn't make any assumptions about your background or prior knowledge of Python or computer programming. Using a logical and systematic approach, this book will provide you a step by step guideline in programming.
What you'll learn:
- Using Python 2 or Python 3 in different situation
- InstallIng Python on different OS, including Windows, Mac, and Linux
- Different ways to run a Python program on your system
- Working with various data types such as strings, lists, tuples, dictionaries, booleans, and more.
- Organizing your Python programs with modules
- Python's built-in functions that you'll use often.
- How to read from and write to files.
- Various ways of getting help and finding Python documentation.
8. Python Cookbook, Third edition
Do you need help writing programs in Python 3, or updating older Python 2 code? Then this book is just the ticket. This unique cookbook is for experienced Python programmers who want to focus on modern tools and idioms.
What you'll learn:
- Data Structures and Algorithms with Python
- Working with Strings and Text
- Iterators and Generators
- Advanced Data Encoding and Processing system
- Functions, Modules, and Packages
- Metaprogramming
- Network and Web Programming
- Utility Scripting and System Administration
- Testing, Debugging, and Exceptions
9. Fluent Python: Clear, Concise, and Effective Programming
Many experienced programmers just try to apply in Python only the concepts they learned from other languages, and never discover Python features outside of their experience. With this book, those Python programmers will get a thorough overview of Python and become proficient in Python 3.
What you'll learn:
- Using special methods to keep the consistent behavior of objects
- To take full advantage of built-in types, and understand the text vs bytes duality in the Unicode age
- Using Python functions as first-class objects and its effects on popular design patterns
- Object oriented concepts including references, mutability, interfaces, operator overloading, and multiple inheritance
- Using concurrent.futures and asyncio packages to leverage context managers, generators, coroutines, and concurrency
- Various aspects of Metaprogramming including, attribute descriptors, properties, class decorators, and metaclasses
10. Learn More Python 3 the Hard Way: The Next Step for New Python Programmers (Zed Shaw's Hard Way Series)
With this unique guide, you can transform your Ideas into high-quality Python Code. You'll learn how to analyze a concept, idea, or problem to implement in software. And how to design solutions based on your analyses and implement them as simply and elegantly as possible.
What you'll learn:
- Managing complex projects with programmer’s text editors
- Leveraging the immense power of data structures
- To apply algorithms to process your data structures
- To master indispensable text parsing and processing techniques
- Using SQL to efficiently and logically model stored data
- Learning powerful command-line tools and skills
- Combining multiple practices in complete projects