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  • Book Overview & Buying The Python Workshop Second Edition
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The Python Workshop Second Edition

The Python Workshop Second Edition - Second Edition

By : Wade, Mario Corchero Jiménez , Bird, Dr. Lau Cher Han, Graham Lee
4.6 (19)
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The Python Workshop Second Edition

The Python Workshop Second Edition

4.6 (19)
By: Wade, Mario Corchero Jiménez , Bird, Dr. Lau Cher Han, Graham Lee

Overview of this book

Python is among the most popular programming languages in the world. It’s ideal for beginners because it’s easy to read and write, and for developers, because it’s widely available with a strong support community, extensive documentation, and phenomenal libraries – both built-in and user-contributed. This project-based course has been designed by a team of expert authors to get you up and running with Python. You’ll work though engaging projects that’ll enable you to leverage your newfound Python skills efficiently in technical jobs, personal projects, and job interviews. The book will help you gain an edge in data science, web development, and software development, preparing you to tackle real-world challenges in Python and pursue advanced topics on your own. Throughout the chapters, each component has been explicitly designed to engage and stimulate different parts of the brain so that you can retain and apply what you learn in the practical context with maximum impact. By completing the course from start to finish, you’ll walk away feeling capable of tackling any real-world Python development problem.
Table of Contents (16 chapters)
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13
Chapter 13: The Evolution of Python – Discovering New Python Features

NumPy and basic stats

NumPy is designed to handle big data swiftly. It includes the following essential components according to the NumPy documentation:

  • A powerful n-dimensional array object
  • Sophisticated (broadcasting) functions
  • Tools for integrating C/C++ and Fortran code
  • Useful linear algebra, Fourier transform, and random number capabilities

You will be using NumPy going forward. Instead of using lists, you will use NumPy arrays, which are basic elements of the NumPy package. NumPy arrays are designed to handle arrays of any dimension.

Numpy arrays can be indexed easily and can have many types of data, such as float, int, string, and object, but the types must be consistent to improve speed.

Exercise 129 – converting lists into NumPy arrays

In this exercise, you will convert a list into a numpy array. The following steps will enable you to complete this exercise:

  1. Open a new Jupyter Notebook.
  2. Then, you need to import numpy:
    import...
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The Python Workshop Second Edition
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