Python for non-Pythonians
eBook - ePub

Python for non-Pythonians

How to Win Over Programming Languages

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Python for non-Pythonians

How to Win Over Programming Languages

About this book

The book uses a very simple and accessible language. All the descriptions of Python functionalities come with intuitive examples to make you learn by doing. This is not a theoretical book and does not cover some of the most internal features of Python. The intention of the authors is to allow business-oriented people to start using Python. The main reason for such a choice of style is due to the increasing number of requests by non-technical professionals to solve daily problems and tasks. Whether the reader wants to append multiple spreadsheets or profile their customer base, being able to use a solid infrastructure which can collect, check, process, analyze data, and report results has become a basic requirement in most industries. The book first introduces the building blocks of Python which can be compared to the different types of words of a language. It introduces readers to the syntax rules of Python—statements, functions, and classes. It then introduces how to use this new language for managing data.
As making mistakes is common in programming, learning how to interpret the error messages and fix codes is extremely important from a pedagogical perspective. The book challenges students with a series of "fix the code" questions at the end of each a topic. Students will learn how to successfully write algorithms in Python when they understand its logic and the meaning of each element of the algorithm.

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Yes, you can access Python for non-Pythonians by Francesco Grossetti,Gaia Rubera in PDF and/or ePUB format, as well as other popular books in Computer Science & Programming in Python. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Title Page
  3. Copyright
  4. Contents
  5. Preface
  6. Acknowledgements
  7. 1. Introduction
  8. 2. First Steps With Python
  9. 3. Tuples, Lists, Sets, and Dictionaries
  10. 4. Conditional Statements and Loops
  11. 5. Functions
  12. 6. Object Oriented Programming and Classes
  13. 7. Python Modules: pandas