Below are 15 free Python eBooks, plus a couple extra, that you can take with The Blueprint to Python Programming: A Beginners Guide to. You can also share this eBook with clubs or groups you belong to that may be interested in learning more about Python programming. As of today we have 78,, eBooks for you to download for free. No annoying Programming in Python 3: A Complete Introduction to the Python Language.
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This is a collection of the most useful free ebooks to learn Python programming for both beginner and advanced users. Python is a popular. Python is an amazing programming language. It can be applied to .. This eBook is the first of three (so far) in the Real Python course series. Free Python Programming eBooks. Free PDF eBook: Learning Python. Free PDF eBook: Mastering Python. Free PDF eBook: What you need to know about.
Author: Charles Severance Publisher: PythonLearn, The goal of this book is to provide an Informatics-oriented introduction to programming. The primary difference between a computer science approach and the Informatics approach taken in this book is a greater focus on using Python. Author: Jody Scott Ginther Publisher: toonzcat. It is a brief introduction to Python. The author attempts to be as brief as possible to get the new programmer into programming as fast as possible.
This way of thinking combines some of the best features of mathematics, engineering, and natural science. Starts readers with actual programming early on. Puts programming in a relevant context Computing for Communications.
It covers the very basics of programming, and uses the Python 3 programming language to teach the concepts. Author: A. Holovaty, J. The authors show you how they use this framework to create award—winning web sites. This is the first edition of the Django Book which covers 0. Author: Katja Schuerer, Catherine Letondal Publisher: Pasteur Institute, This course is designed for biologists who already have some programming knowledge in other languages. The focus is on biological examples that are used throughout the course, as well as the suggested exercises drawn from the field of biology.
Python Slightly Advanced Python Topics Author: Dave Kuhlman, This document contains discussions of several advanced topics that are of interest to Python programmers: regular expressions, unit tests, extending and embedding Python, parsing, GUI applications, guidance on packages and modules. It contains an introduction to the Python language, instruction in the important features of the language, and practical exercises in the use of those features. They are aimed at intermediate programmers — people who have studied Python and are fairly comfortable with basic recursion and object oriented techniques.
This library provides extensive file format support, an efficient internal representation, and fairly powerful image processing capabilities.
Python Tutorial Publisher: Python Software Foundation, This tutorial introduces the reader informally to the basic concepts of the Python language and system.
Python Quick Reference collection Author: Richard Gruet, This reference collections cover references for python version 1. It covers invocation options, environment variables, lexical entities, basic types and their operations, advanced types, statements, iterators, generators, descriptors, decorators, built-in functions, built-in exceptions, and more.
Lott, The book will help you build basic programming skills. It is organized in a way that builds up the language in layers from simple concepts to more advanced features.
Programming exercises are provided to encourage further exploration of each layer. It describes the syntax of Python and its built-in datatypes. It covers advanced topics, and is suitable for readers who are familiar with the details and rules of the Python and its object system. Preiss, The primary goal of this book is to promote object-oriented design using Python and to illustrate the use of the emerging object-oriented design patterns.
The book shows how these patterns are used to create good software designs. Intended for people with no programming experience, this book starts with the most basic concepts and gradually adds new material. The goal is to teach you to think like a computer scientist.
Author: Alan Gauld Publisher: Addison-Wesley Professional, Book for hobbyists, self-starters, and all who want to learn the art of computer programming in Python. If the DigitalOcean Community team can provide additional guidance, feel free to reach out in the comments section below. Next Steps and Where to Go From Here When you are done with the book, you can take a look at project-based tutorials to put your knowledge into play while creating projects that can help you solve problems.
While you are working on these projects, you can continue to refer to the chapters in this book as reference material. Anyone who learns how to code can contribute to an open-source project.
Open-source software is software that is freely available to use, redistribute, and modify. Contributing to open-source projects helps improve software by ensuring that it is representative of the broad base of technology end-users.
When users contribute to open-source projects through code, technical documentation, or repository maintenance, their diverse perspectives provide added value to the project and the larger developer community. Download the Complete eBook! How To Code in Python eBook in PDF format For additional Python resources and to participate in discussion with others, check out our growing library of tutorials, questions, and projects with the Python tag.
This book is aimed at teaching Python 3 to students and teenagers who are completely new to programming, assumes no previous knowledge of programming on the part of the students, and contains numerous exercises to train their programming skills. This book helps you explore some of the lesser known Python libraries and tools, including third-party modules and several extremely useful tools in the standard library that deserve more attention.
This book is designed to introduce students to programming and software development through the lens of exploring data. You can think of the Python programming language as your tool to solve data problems that are beyond the capability of a spreadsheet. Learn how to use Python to write programs that do in minutes what would take you hours to do by hand - no prior programming experience required. You'll create Python programs that effortlessly perform useful and impressive feats of automation.
This guide describes best practices currently used by package and application developers. Unlike other books for this audience, It is light on reusable code and heavier on design philosophy, directing the reader to excellent sources that already exist.
This hands-on guide takes you through the Python programming language a step at a time, beginning with basic programming concepts before moving on to functions, recursion, data structures, and object-oriented design. This book is compiled from Stack Overflow Documentation, the content is written by the beautiful people at Stack Overflow. See credits at the end of this book whom contributed to the various chapters.
Learn how to program in Python while making and breaking ciphers - algorithms used to create and send secret messages! You'll begin with simple programs for the reverse and Caesar ciphers and then work your way up to public key cryptography, etc. This is the lecture notes for a course on Python and coding theory designed for students who have little or no programmig experience.
You will learn some of the Python computer programming language and selected topics in coding theory. This book is for Python developers who want to build real-world Artificial Intelligence applications. It is friendly to Python beginners, will also be useful for experienced Python programmers who are looking to use AI techniques in their existing technology stacks. This book is a beginner-friendly guide to the Python data analysis platform. With data analysis and numerical computing tutorials at your disposal it offers you the chance to discover how to make the most of IPython right now.
Discover why Python is so loved in the data world and revolutionize your work today! This book describes Python web frameworks ranging from full-stack options that offer a lot of functionality to micro frameworks that focus on simplicity with fewer features. Learn how to choose a framework that best fits your development needs. Then, through multiple examples and use cases, you'll learn how to work with these technologies by applying various Python tools. The book begins by exploring the essentials of programming, data structures and teaches you how to manipulate them.
It then moves on to controlling the flow of a program and writing reusable and error proof code. He also lists several third-party Python libraries useful for functional programming.
Featuring a wealth of real-world examples, this book provides gives you with an accessible route into Python machine learning.
You'll learn everything you need to tackle the modern data deluge - by harnessing the unique capabilities of Python. Even the best programmers make mistakes. Some have been simple and silly; others were embarrassing and downright costly. The author dissects some of his most memorable blunders, peeling them back layer-by-layer to reveal just what went wrong. This book aims to enable the reader to quickly acquire a Python foundation.
If you are new to programming with Python and are looking for a solid introduction, this is the book for you - a comprehensive and easy-to-read introduction to Python programming includes a wealth of programming tutorials for writing your first lines of code.
This book presents computer programming as a key method for solving mathematical problems using Python. Each treated concept is illustrated and explained in detail by means of working examples.
It is intended for novice programmers and engineers. This book offers a concise and gentle introduction to finite element programming in Python based on the popular FEniCS software library. This book is for programmers, scientists, or engineers, who have basic Python knowledge and would like to be able to do numerical computations with Python.
It will give you a solid foundation in NumPy arrays and universal functions. This book is the teaching material on the scientific Python ecosystem, a quick introduction to central tools and techniques. It is for programmers from beginner to expert. This book illuminates Bayesian inference through probabilistic programming with the powerful PyMC language and the closely related Python tools NumPy, SciPy, Matplotlib, through practical examples and computation - no advanced mathematics required.
This report guides you through the implicit decision tree of choosing what Python version, implementation, and distribution is best suited for you.
There are two major versions: This book is a hands-on guide to Python 3 the latest version of the Python language and its differences from Python 2. Each chapter starts with a real, complete code sample, proceeds to pick it apart and explain the pieces, and then puts it all back together in a summary at the end.
Porting to Python 3 doesn't have to be daunting. This book guides you through the process of porting your Python 2 code to Python 3, from choosing a porting strategy to solving your distribution issues. This book is a Python tutorial for beginners aiming at teaching spatial data processing. It is used as part of the courses taught in Remote Sensing and GIS, using psycopg2, and ogr2ogr, etc. Written specifically for beginners, it takes you step-by-step through writing your very first program, explaining each portion of code as we go along, guides you through setting up Python, choosing an IDE, as well as the various elements of coding in Python.
This book is to model creativity using computational approaches in Python. The aim is to construct computer models that exhibit creativity in an artistic context, that is, that are capable of generating or evaluating an artwork visual or linguistic , etc.
This course contains discussions of several advanced topics that are of interest to Python programmers: By taking you through the development of a real web application from beginning to end, this hands-on guide demonstrates the practical advantages of test-driven development TDD with Python.
Discover what the Raspberry Pi has to offer using detailed Python code examples that you can adapt and extend. This book provides an Informatics-oriented introduction to programming.
The primary difference between a computer science approach and the Informatics approach taken in this book is a greater focus on using Python to solve problems.
This book uses Python to introduce folks to programming and algorithmic thinking.
It is sharply focused on classical algorithms, but it also gives a solid understanding of fundamental algorithmic problem-solving techniques. This book provides an introduction to Python for a beginning programmer. They may also be useful for an experienced Python programmer interested in using NumPy, SciPy, and matplotlib for numerical and statistical analaysis.
This book explains each Python web application stack layer and provides the best web resources for those topics. Throughout the book it takes an example open source Python web application through a complete deployment on a virtual private server. This book offers a highly accessible introduction to natural language processing, the field that supports a variety of language technologies, from predictive text and email filtering to automatic summarization and translation.
This book is an introduction to signal processing and system analysis using a computational approach with Python as the programming language.
It develops the important ideas incrementally, with a focus on applications. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python. The main topic of this book is application development using PyQt. Whether you're building GUI prototypes or full-fledged cross-platform GUI applications with native look-and-feel, PyQt is your fastest, easiest, most powerful solution.
The tutorials presented here will introduce you to some of the most important deep learning algorithms and will also show you how to run them using Theano. Theano is a python library that makes writing deep learning models easy, and gives the option of training them on a GPU. This book brings Python to life and brings you and your parents into the world of programming. It will guide you through the basics as you experiment with unique example programs that feature ravenous monsters, secret agents, thieving ravens, and more.
This book teaches you how to write your own cipher programs and also the hacking programs that can break the encrypted messages from these ciphers. This free book is an introduction to Python programming for students with no programming experience. This is a textbook about computer science. It is also about Python.
However, there is much more. The tools and techniques that you learn here will be applied over and over as you continue your study of computer science. With this book, you'll learn how to solve statistical problems with Python code instead of mathematical notation, and use discrete probability distributions instead of continuous mathematics.
This book is a hands-on introduction to computer vision using Python. It gives an easily accessible entry point to hands-on computer vision with enough understanding of the underlying theory and algorithms to be a foundation for students, researchers.
Intended for novices to the world of OpenCV and computer vision, as well as OpenCV veterans that want to learn about what's new in OpenCV 3, this book is useful as a reference for experts and a training manual for beginners. It teaches you how to program computer games in the Python programming language. Each chapter gives you the complete source code for a new game. It was written to be understandable by anyone of any age who has never programmed before.
This book is based on a popular on-line tutorial that has been expanded and enhanced for this book. It takes you step-by-step through all the essential programming topics. With a primary focus on examples and applications of relevance to computational scientists, this brilliantly useful book shows computational scientists how to develop tailored, flexible, and human-efficient working environments built from small scripts written in the easy-to-learn, high-level Python language.
Learn to use the Python language to create programs of all kinds. It will guide you from complete unfamiliarity with Python to creating practical applications.