Processing ......
FreeComputerBooks.com
Links to Free Computer, Mathematics, Technical Books all over the World
 
The 1 Page Python Book: Beginners Guide to Programming in Python
🌠 Top Free C Programming Books - 100% Free or Open Source
  • Title The 1 Page Python Book: Beginners Guide to Programming in Python
  • Author(s) Barani Kumar
  • Publisher: Smashwords (Jan 31, 2021)
  • Paperback: N/A
  • eBook: ePub
  • Language: English
  • ISBN-10/ASIN: B08VKQY5NG
  • ISBN-13: 978-1005944803
  • Share This:  

Book Description

This book is a guide to learn Python programming. Precise code examples and broken down explanations, neatly organised into chapters. Provides links to external resources for supplementary reading wherever required. It provides a solid foundation for learning to code.

About the Authors
  • Barani Kumar, is an engineer, data analyst he has worked in engineering projects contributing in development and testing of Information and Technology solutions.
Reviews, Ratings, and Recommendations: Related Book Categories: Read and Download Links: Similar Books:
  • Essential Python 3 (Kevin Vans-Colina)

    This book is written to provide all the essential information to get you programming in Python 3. It starts by running through the basics of the language before showing you how to use some of the powerful libraries included in Python 3.

  • Learn Python Fast Deep Simple (Behnam Khani)

    A Visual and Interactive Journey into Python Programming. Dive into captivating visuals and interactive exercises, perfect for beginners and intermediate programmers. Unleash your Python skills with this immersive eBook.

  • Intermediate Python (Obi Ike-Nwosu)

    Provides a reader with a holistic and in-depth knowledge of the Python language. It explains how methods and functions are related, how sequences can be created elegantly, the tools for functional programming, how user defined objects can be used.

  • Intermediate Python (Muhammad Yasoob Ullah Khalid)

    Python is an amazing language with a strong and friendly community of programmers. This book aims to give you bits of information about some interesting topics which you can further explore after getting the basics of Python down your throat,

  • Automate the Boring Stuff with Python (Albert Sweigart)

    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.

  • Python for Everybody: Exploring Data in Python 3

    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.

  • Beyond the Basic Stuff with Python: Writing Clean Code

    More than a mere collection of advanced syntax and masterful tips for writing clean code, advance your Python programming skills by using the command line and other professional tools like code formatters, type checkers, linters, and version control.

  • Python Packages (Tomas Beuzen, et al.)

    An open source book that describes modern and efficient workflows for creating Python packages. Covering the entire Python packaging life cycle, this essential guide takes readers from package creation all the way to effective maintenance and updating.

  • Inside The Python Virtual Machine (Obi Ike-Nwosu)

    This book describes how Python code is compiled and run, how the language itself can be modified and will demystify the mysterious bytecodes that run on the Python virtual machine.

  • Architecture Patterns with Python (Harry Percival, et al.)

    Enabling Test-Driven Development, Domain-Driven Design, and Event-Driven Microservices, it introduces proven architectural design patterns to help Python developers manage application complexity, and get the most value out of their test suites.

  • Clean Architectures in Python: Better Software Design

    The clean architecture is the opposite of spaghetti code, where everything is interlaced and there are no single elements that can be easily detached from the rest and replaced without the whole system collapsing.

  • Problem Solving with Algorithms/Data Structures using Python

    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.

  • Fundamentals of Python Programming (Richard L. Halterman)

    It focuses on introducing programming techniques and developing good habits. To that end, our approach avoids some of the more esoteric features of Python and concentrates on the programming basics that transfer directly to other imperative programming.

  • O'Reilly® Think Python, 2nd Edition (Allen B. Downey)

    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. 2nd edition updated for Python 3.

  • Learn Python the Right Way: How to Think like a Computer Scientist

    The goal of this book is to teach you to think like a computer scientist. This way of thinking combines some of the best features of mathematics, engineering, and natural science.

  • The Big Book of Small Python Projects: 81 Easy Practice Programs

    This book demonstrates how to combine different libraries and frameworks to build amazing things. It picks up where the complete beginner books leave off, expanding on existing concepts and introducing new tools that you'll use every day.

  • Practical Python Projects (Yasoob Khalid)

    This collection of 81 Python projects will have you making digital art, games, animations, counting programs, and more right away. Once you see how the code works, you’ll practice re-creating the programs and experiment by adding your own custom touches.

  • Python Programming Exercises, Gently Explained (Al Sweigart)

    This is the perfect book for beginner and intermediate programmers who want to test their Python skills but aren’t ready to begin professional-level software development. The 42 programming exercises in this book let you practice what you've learned.

  • Functional Programming in Python (David Mertz)

    It describes ways to avoid Python’s imperative-style flow control, the nuances of callable functions, how to work lazily with iterators, and the use of higher-order functions. He also lists several third-party Python libraries useful for functional programming.

  • Python 3 Patterns, Recipes and Idioms (Bruce Eckel, et al)

    This book is aimed at more experienced Python programmers who are looking to deepen their understanding of the language and modern programming idioms. It focuses on some of the more advanced techniques used by libraries, frameworks, and applications.

Book Categories
:
Other Categories
Resources and Links