Master Python
Master Python
About the Bundle
Learn to master Python with this bundle. Be part of the #onemillion2021 project where one million people get trained on Cloud Computing, Data and Python globally by 2021.
About the Books
Minimal Python
If you are reading this book you may be interested in programming for the first time. Maybe it isn't your first time trying to learn to program either? This book is very different than other books that claim to teach you programming. It eliminates a large part of Python that you simply don't need.
Even books that have "learn" in the title introduce readers to hopelessly complex topics like object-oriented programming or concurrency. It turns out YAGNI (You Ain't Gonna Need It). Why teach students topics they won't use either ever, or not for a few years?
Don't worry if you failed before, you may have read a book written by an expert for an expert. Let's fix that and teach you just what you need to get started in a career in Data Science, Data Engineering, Software Engineering or Cloud Computing.
Testing in Python
Getting started with testing can be hard, and this book aims make it all very easy by using examples and explaining the process in a straightforward way. Testing is a core principle of robust software implementations and should be a prime skill to master that can be applied to any project.
Python Command Line Tools
Design powerful apps with Click
This book will teach you to master the ultimate UI, the command-line, using the powerful Click Framework in Python.
Cloud Computing for Data Analysis
The missing semester of Data Science
After reading this book you will be able to:
- Summarize the fundamentals of cloud computing
- Evaluate the economics of cloud computing
- Accurately evaluate distributed computing challenges and opportunities and apply this knowledge to real-world projects.
- Develop non-linear life-long learning skills
- Build, share and present compelling portfolios using: Github, YouTube, and Linkedin.
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If you buy a Leanpub book, you get free updates for as long as the author updates the book! Many authors use Leanpub to publish their books in-progress, while they are writing them. All readers get free updates, regardless of when they bought the book or how much they paid (including free).
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Top Books
- #1
OpenIntro Statistics
David Diez, Christopher Barr, Mine Cetinkaya-Rundel, and OpenIntroA complete foundation for Statistics, also serving as a foundation for Data Science.
Leanpub revenue supports OpenIntro (US-based nonprofit) so we can provide free desk copies to teachers interested in using OpenIntro Statistics in the classroom and expand the project to support free textbooks in other subjects.
More resources: openintro.org.
- #2
Linear Algebra
Elira Curri and Tanush ShaskaAnswers to selected problems included.
- #3
Ansible for DevOps
Jeff GeerlingAnsible is a simple, but powerful, server and configuration management tool. Learn to use Ansible effectively, whether you manage one server—or thousands.
- #4
Modern IT Automation with PowerShell
The DevOps Collective, Inc. and Michael ZanattaA PowerShell Textbook written by the community for the community!
- #5
R Programming for Data Science
Roger D. PengThis book brings the fundamentals of R programming to you, using the same material developed as part of the industry-leading Johns Hopkins Data Science Specialization. The skills taught in this book will lay the foundation for you to begin your journey learning data science. Printed copies of this book are available through Lulu.
- #6
Code Your Own Synth Plug-Ins With C++ and JUCE
Matthijs HollemansLearn the fundamentals of audio programming by building a fully-featured software synthesizer plug-in, with every step explained along the way. The plug-in can be used in all the popular DAWs and is made using the industry standard tools for audio development: JUCE framework and the C++ programming language. Not too much math, lots of explanations!
- #7
Deep Learning with PyTorch Step-by-Step
Daniel Voigt GodoyIn 2019, I published a PyTorch tutorial on Towards Data Science and I was amazed by the reaction from the readers! Their feedback motivated me to write this book to help beginners start their journey into Deep Learning and PyTorch. I hope you enjoy reading this book as much as I enjoy writing it.
- #8
Aprendiendo Git
Miguel Angel Durán GarcíaGit no es complicado... ¡Si lo entiendes! 😜
¿Sientes que sabes usarlo porque has memorizado todos los comandos que necesitas? ¡Pero no entiendes qué hace cada cosa y por qué! Así es normal que, cuando exista un problema, te cueste resolverlo.
¡Con este libro vas a entender de una vez por todas todo lo que es Git y cómo sacarle provecho!
- #9
Algebra-Driven Design
Sandy MaguireA how-to field guide on building leak-free abstractions and algebraically designing real-world applications.
- #10
The Rails 7 Way
Obie Fernandez, Lucas Dohmen, and Tom Henrik AadlandThe Rails™ 7 Way is the comprehensive, authoritative reference guide for professionals delivering production-quality code using modern Ruby on Rails. It illuminates the entire Rails 7 API, its most powerful idioms, design approaches, and libraries. Building on the previous editions, this edition has been heavily refactored and updated.
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