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- Title Python 3 Basics Tutorial
- Authors Kristian Rother
- Publisher: GitBook (2018 - Updates continuously)
- Paperback: N/A
- eBook: PDF
- Language: English
- ISBN-10/ASIN: N/A
- ISBN-13: N/A
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Python is a powerful high-level programming language that is popular across the world. It is used extensively by large corporations and individual developers alike. One of the biggest selling points of Python is the simplicity of its programs compared to other languages. It is remarkably easy, for even complete beginners, to create fully functional programs in minutes.
This is a tutorial for novice programmers. You are the learner I had in mind when writing this tutorial if:
- you have worked a little with a different programming language like R, MATLAB or C.
- you have no programming experience at all
- you know Python well and would like to teach others
This tutorial works best if you follow the chapters and exercises step by step.
About the Authors- N/A
- Python Programming
- Computer and Programming Languages
- Computer and Video Game Development and Programming
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Object-Oriented Programming in Python (M. H. Goldwasser)
An intuitive and thorough guide to mastering object-oriented programming from the ground up. Cover the basics of building classes and creating objects, and put theory into practice with clear examples that help visualize the object-oriented style.
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Python for Science and Engineering (Hans-Petter Halvorsen)
This book offers a quick and incisive introduction to Python programming for anyone. It has carefully developed a concise approach to using Python in any discipline of science and engineering, with plenty of examples, practical hints, and insider tips.
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Introduction to Computer Programming with Python (Harris Wang)
This introduction to computer programming with Python begins with some of the basics of computing and programming before diving into the fundamental elements and building blocks of computer programs in Python language.
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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.
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Introduction to Python Programming (Udayan Das, et al.)
This book provides a comprehensive foundation in programming concepts and skills, teaches basic programming concepts, problem-solving skills, and the Python language using hands-on activities.
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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.
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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.
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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.
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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.
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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.
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Data Structures and Algorithms in Python (Michael Goodrich)
A comprehensive, definitive introduction to data structures in Python. Designed to provide a comprehensive introduction to data structures and algorithms, including their design, analysis, and implementation using Python.
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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.
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