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Python Essentials

You're reading from   Python Essentials Modernize existing Python code and plan code migrations to Python using this definitive guide

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Product type Paperback
Published in Jun 2015
Publisher Packt
ISBN-13 9781784390341
Length 298 pages
Edition 1st Edition
Languages
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Author (1):
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Steven F. Lott Steven F. Lott
Author Profile Icon Steven F. Lott
Steven F. Lott
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Table of Contents (17) Chapters Close

Preface 1. Getting Started FREE CHAPTER 2. Simple Data Types 3. Expressions and Output 4. Variables, Assignment and Scoping Rules 5. Logic, Comparisons, and Conditions 6. More Complex Data Types 7. Basic Function Definitions 8. More Advanced Functions 9. Exceptions 10. Files, Databases, Networks, and Contexts 11. Class Definitions 12. Scripts, Modules, Packages, Libraries, and Applications 13. Metaprogramming and Decorators 14. Fit and Finish – Unit Testing, Packaging, and Documentation 15. Next Steps Index

Who this book is for

This book is for programmers who want to learn Python quickly. It shows key features of Python, assuming a background in programming. The focus is on essential features: the approach is broad but relatively shallow. We'll provide pointers and direction for additional study and research, assuming that the reader is willing and able to follow those pointers.

In many data-intensive industries, a great deal of big data analysis is done with Python and toolsets such as Apache Hadoop. In this case, the users of Python will be statisticians, data scientists, or analysts. Their interest isn't in Python itself, but in using Python to process collections of data. This book is designed to provide language fundamentals for data scientists.

This book can be used by students who are learning Python. Since this book doesn't cover the computer science foundations of programming, an additional text would be helpful.

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