Description

Book Synopsis

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 Repositor

A Simple Introduction to Python

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    A Paperback by Stephen Lynch

    £999.99

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      Book details

      Publisher CRC Press
      Published 6 November 2024
      ISBN-13 9781032750293
      978-1032750293
      ISBN-10 1032750294
      Also in:
      Computing Digital and IT general topics

      Description

      Book Synopsis

      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 Repositor

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