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The Python Workshop

You're reading from   The Python Workshop Learn to code in Python and kickstart your career in software development or data science

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Product type Paperback
Published in Nov 2019
Publisher Packt
ISBN-13 9781839218859
Length 608 pages
Edition 1st Edition
Languages
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Authors (6):
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Andrew Bird Andrew Bird
Author Profile Icon Andrew Bird
Andrew Bird
Graham Lee Graham Lee
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Graham Lee
Corey Wade Corey Wade
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Corey Wade
Dr. Lau Cher Han Dr. Lau Cher Han
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Dr. Lau Cher Han
Olivier Pons Olivier Pons
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Olivier Pons
Mario Corchero Jiménez Mario Corchero Jiménez
Author Profile Icon Mario Corchero Jiménez
Mario Corchero Jiménez
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Table of Contents (13) Chapters Close

Preface 1. Vital Python – Math, Strings, Conditionals, and Loops FREE CHAPTER 2. Python Structures 3. Executing Python – Programs, Algorithms, and Functions 4. Extending Python, Files, Errors, and Graphs 5. Constructing Python – Classes and Methods 6. The Standard Library 7. Becoming Pythonic 8. Software Development 9. Practical Python – Advanced Topics 10. Data Analytics with pandas and NumPy 11. Machine Learning Appendix

Introduction

In Chapter 3, Executing Python – Programs, Algorithms, and Functions, you covered the basics of Python programs and learned how to write algorithms, functions, and programs. Now, you will learn how to make your programs more relevant and usable in the IT world.

First, in this chapter, you are going to look at file operations. File operations are essential for scripting for a Python developer, especially when you need to process and analyze a large number of files, like in data science. In companies that deal with data science, you often do not have direct access to a database, stored on a local server or a cloud server. Rather, we receive files in text format. These include CSV files for column data, and txt files for unstructured data (such as patient logs, news articles, user comments, etc.).

In this chapter, you will also cover error handling. This prevents your programs from crashing and also does its best to behave elegantly when encountering unexpected...

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