A Simple Introduction to Python
eBook - ePub

A Simple Introduction to Python

  1. 112 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

A Simple Introduction to Python

About this book

A Simple Introduction to Python is aimed at pre-university students and complete novices to programming. The whole book has been created using Jupyter notebooks. After introducing Python as a powerful calculator, simple programming constructs are covered, and the NumPy, MatPlotLib and SymPy modules (libraries) are introduced. Python is then used for Mathematics, Cryptography, Artificial Intelligence, Data Science and Object Oriented Programming.

The reader is shown how to program using the integrated development environments: Python IDLE, Spyder, Jupyter notebooks, and through cloud computing with Google Colab.

Features:

  • No prior experience in programming is required.
  • Demonstrates how to format Jupyter notebooks for publication on the Web.
  • Full solutions to exercises are available as a Jupyter notebook on the Web.
  • All Jupyter notebook solution files can be downloaded through GitHub.

GitHub Repository of Data Files and a Jupyter Solution notebook: https://github.com/proflynch/A-Simple-Introduction-to-Python

Jupyter Solution notebook web page: https://drstephenlynch.github.io/webpages/A-Simple-Introduction-to-Python-Solutions.html

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Yes, you can access A Simple Introduction to Python by Stephen Lynch in PDF and/or ePUB format, as well as other popular books in Mathematics & Programming in Python. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Cover Page
  2. Half-Title Page
  3. Series Page
  4. Title Page
  5. Copyright Page
  6. Dedication Page
  7. Contents
  8. Preface
  9. Chapter 1 Python as a Powerful Calculator
  10. Chapter 2 Simple Programming with Python
  11. Chapter 3 The Turtle Library
  12. Chapter 4 NumPy and MatPlotLib
  13. Chapter 5 Google Colab, SymPy and GitHub
  14. Chapter 6 Python for Mathematics
  15. Chapter 7 Introduction to Cryptography
  16. Chapter 8 An Introduction to Artificial Intelligence
  17. Chapter 9 An Introduction to Data Science
  18. Chapter 10 An Introduction to Object Oriented Programming
  19. Index