Python is the most common programming language used in software development, task automation, data visualization, data analysis, web development, blockchain, search engine optimization, and more. Python is easy to comprehend and learn. Due to its wide range of applications and user-friendliness, it is rapidly gaining prominence in all industries.
Companies like Google, IBM, JP Morgan Chase, Yahoo, NASA, Facebook, and Spotify, among others, use Python to perform a plethora of tasks. If you are hoping to master the fundamentals and advanced concepts of Python, this blog will assist you in achieving the same, recommending the best python books.
10 Must-Read Python Books
Besides the internet, books are an exceptional source of knowledge to familiarize you with in-depth concepts, both in-demand and obsolete, to understand the topic’s intricacies. Here is a list of best python books that you can refer to if you want to be proficient in Python-
Python Pocket Reference: Python in Your Pocket By Mark Lutz
This book is your one-stop destination to familiarize yourself with the extensive vocabulary of all Python-related terms. If you are a beginner, this is the book to read. Names of specialized methods, built-in functions, exceptions, and other frequently used standard modules are some elements covered in this book.
Definitions of syntax, built-in object types, statements for creating and processing objects, and functions for organizing and reusing scripts have also been discussed in detail in this book. It will serve your purpose of acquainting yourself with the basic concepts of Python before you delve into the more advanced topics.
Python Crash Course By Eric Matthes
With this book on Python, you’ll be writing programs, resolving problems, and making useful objects in no time! The author gives readers a foundation in general programming ideas, basic Python concepts, and problem-solving.
Python Crash Course also contains three real-world projects that let readers put their knowledge to good use practically. Readers will learn how to develop and launch an interactive web application, use data visualization techniques to create graphs and charts, as well as create video games.
Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython By Wes McKinney
If you want a deeper insight into real-world use cases, this is the book you should read. This book will give you a series of real-world case studies that demonstrate how to address a variety of issues with data analysis learning Python. With the help of this book, you will be able to handle, process, clean, and crunch datasets in Python better. Get hold of this book today to begin your journey with Python.
Learn Python the Hard Way By Zed Shaw
This book will essentially help you discover how to set up a full Python environment, organize and write code, use variables, loops, and logic, package Python, and do automated testing. This book contains a comprehensive series of 52 exercises you can practice to become an expert in Python. With these exercises, you will be able to work on your mistakes and build robust programs.
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Fluent Python: Clear, Concise, and Effective Programming By Luciano Ramalho
Want to become an expert coder? Get your hands on this book. This book is a great guide for mastering the often neglected features of Python. It will also assist you in learning how to write precise and easy-to-read codes. This book has to be on your list if you want to learn more about data structures, functions, object-oriented jargon, control flow, and metaprogramming.
Natural Language Processing with Python: Analyzing Text with the Natural Language Toolkit By Edward Loper, Steven Bird, and Ewan Klein
As the name suggests, the whole concept of Natural Language Processing has been thoroughly dealt with in this book. Apart from NLP, various elements of Python have been discussed in detail in this book. Starting from handling unstructured data to creating Python programs, you will be able to master it all with the help of this book. This book is beneficial for developing practical abilities related to Natural Language Processing utilizing Python programming and the open-source Natural Language Toolkit module.
Automate the Boring Stuff with Python, 2nd Edition: Practical Programming for Total Beginners by AI Sweigart
The author of this book, AI Sweigart, aims to teach Python to novices with a technical bent as well as pros. The books teach you how to develop programs in Python within no time by providing an easy-to-follow set of instructions and guiding you through each program. Interestingly, at the end of each chapter, author AI Sweigart gives his readers a series of exercises. Additionally, you will also be able to automate clicks and keystrokes and scrap data from websites effectively with the help of the knowledge acquired from this book.
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Python Cookbook: Recipes for Mastering Python 3 By Brian K. Jones and David M. Beazley
This book is also a great resource for anyone with some Python programming expertise who wants to upgrade to more advanced functions and tools. This special book is filled with valuable recipes written and tested using Python 3.3.
This book is advantageous for students requiring references to code samples. You can find anything in this book, whether core Python-related topics or tasks that apply to many other application domains.
Head-Fist Python By Paul Barry
It is a quick and simple solution if you want to understand Python programming fundamentals. Working with built-in functions and data structures, as well as learning the basics of Python programming, will be a cakewalk with this book.
The book deals with the concepts of exception management, data manipulation, and building your web application. This book uses a visual framework rather than a text-based method, which helps you understand and learn more clearly.
Learn Python Quickly: A Complete Beginner’s Guide to Learning Python, Even If You’re New to Programming By Code Quickly
With the aid of this book, you can develop a solid foundational understanding of Python. This book also contains more advanced chapters you can read once you finish the introductory chapters. These advanced chapters have relatively simple explanations; hence, you will not have to worry about struggling with those concepts.
Coding exercises are also included in this book. It also gives you a list of solutions to the exercises so that you can check your answers and correct your mistakes. At the end of the book, there are two projects that you can use to gain practical expertise. Additionally, there are various source code files that you can constantly refer to.
The list mentioned above contains the best books on Python that will give you a great headstart if you want to become a professional coder. Learning Python at the beginning of your coding career is incredibly beneficial as it is fairly easy to understand. You should specifically learn Python because it is dependable, adaptable, and provides solutions to expertise from a wide range of industries, not just coders. Enroll in the Master of Science in Machine Learning and AI course by upGrad to further enhance your skill and get closer to your dream job as a professional coder.
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Refer to these best books on Python to become an expert coder. This comprehensive list of Python books will come in handy if you are a beginner as well as a professional. Being proficient in Python increases your chances of being in demand in a wide range of industries in the present times. Enroll in the course by upGrad to unlock a bright future as a coder.
How much time would it require to learn Python?
Learning the fundamentals of Python typically takes two to six months. However, you will be able to write short programs comparatively faster.
Is Python sufficient to land a job?
Knowing Python alone is not enough. You will have to know several other programming languages, too, in order to land a job. While hiring a candidate, employers will also consider several additional attributes or competencies, including the ability to solve problems, communicate effectively, etc.
What is the salary of Python developers?
The salary of a Python depends on several factors, including region, experience, skillset, and company. However, an average Python developer’s salary in the USA is $117,020 per annum.