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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
Tools
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Authors (6):
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Andrew Bird Andrew Bird
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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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Toc

Table of Contents (13) Chapters Close

Preface 1. Vital Python – Math, Strings, Conditionals, and Loops 2. Python Structures FREE CHAPTER 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

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 for the rest of the course. Instead of using lists, you will use NumPy arrays. NumPy arrays are the 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 128: Converting Lists to NumPy Arrays

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

  1. Open a new Jupyter Notebook.
  2. Firstly, you need to...
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