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Learn Python programming : a beginner's guide to learning the fundamentals of Python language to write efficient, high quality code /
Learn the fundamentals of Python (3.7) and how to apply it to data science, programming, and web development. Fully updated to include hands-on tutorials and projects. Key Features Learn the fundamentals of Python programming with interactive projects Apply Python to data science with tools such as...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Birmingham, UK :
Packt Publishing,
2018.
|
| Edición: | Second edition. |
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 100 | 1 | |a Romano, Fabrizio, |e author. | |
| 245 | 1 | 0 | |a Learn Python programming : |b a beginner's guide to learning the fundamentals of Python language to write efficient, high quality code / |c Fabrizio Romano. |
| 250 | |a Second edition. | ||
| 264 | 1 | |a Birmingham, UK : |b Packt Publishing, |c 2018. | |
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| 500 | |a Previous edition published: 2015. | ||
| 520 | |a Learn the fundamentals of Python (3.7) and how to apply it to data science, programming, and web development. Fully updated to include hands-on tutorials and projects. Key Features Learn the fundamentals of Python programming with interactive projects Apply Python to data science with tools such as IPython and Jupyter Utilize Python for web development and build a real-world app using Django Book Description Learn Python Programming is a quick, thorough, and practical introduction to Python - an extremely flexible and powerful programming language that can be applied to many disciplines. Unlike other books, it doesn't bore you with elaborate explanations of the basics but gets you up-and-running, using the language. You will begin by learning the fundamentals of Python so that you have a rock-solid foundation to build upon. You will explore the foundations of Python programming and learn how Python can be manipulated to achieve results. Explore different programming paradigms and find the best approach to a situation; understand how to carry out performance optimization and effective debugging; control the flow of a program; and utilize an interchange format to exchange data. You'll also walk through cryptographic services in Python and understand secure tokens. Learn Python Programming will give you a thorough understanding of the Python language. You'll learn how to write programs, build websites, and work with data by harnessing Python's renowned data science libraries. Filled with real-world examples and projects, the book covers various types of applications, and concludes by building real-world projects based on the concepts you have learned. What you will learn Get Python up and running on Windows, Mac, and Linux Explore fundamental concepts of coding using data structures and control flow Write elegant, reusable, and efficient code in any situation Understand when to use the functional or OOP approach Cover the basics of security and concurrent/asynchronous programming Create bulletproof, reliable software by writing tests Build a simple website in Django Fetch, clean, and manipulate data Who this book is for Learn Python Programming is for individuals with relatively little experience in coding or Python. It's also ideal for aspiring programmers who need to write scripts or programs to accomplish tasks. The book shows you how to create a full-fledged application. Downloading the example code for this book You can download the example ... | ||
| 505 | 0 | |a Learn python programming : a beginner's guide to learning the fundamentals of python language to write efficient, high-quality code -- Dedication -- Foreword -- Contributors -- Table of Contents -- Preface -- Chapter 1: A Gentle Introduction to Python -- Chapter 2: Built-in Data Types -- Chapter 3: Iterating and Making Decisions -- Chapter 4: Functions, the Building Blocks of Code -- Chapter 5: Saving Time and Memory -- Chapter 6: OOP, Decorators, and Iterators -- Chapter 7: Files and Data Persistence -- Chapter 8: Testing, Profiling, and Dealing with Exceptions -- Chapter 9: Cryptography and Tokens -- Chapter 10: Concurrent Execution -- Chapter 11: Debugging and Troubleshooting -- Chapter 12: GUIs and Scripts -- Chapter 13: Data Science -- Chapter 14: Web Development -- Other Books You May Enjoy -- Index. | |
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