Book Image

The Python Workshop

By : Olivier Pons, Andrew Bird, Dr. Lau Cher Han, Mario Corchero Jiménez, Graham Lee, Corey Wade
Book Image

The Python Workshop

By: Olivier Pons, Andrew Bird, Dr. Lau Cher Han, Mario Corchero Jiménez, Graham Lee, Corey Wade

Overview of this book

Have you always wanted to learn Python, but never quite known how to start? More applications than we realize are being developed using Python because it is easy to learn, read, and write. You can now start learning the language quickly and effectively with the help of this interactive tutorial. The Python Workshop starts by showing you how to correctly apply Python syntax to write simple programs, and how to use appropriate Python structures to store and retrieve data. You'll see how to handle files, deal with errors, and use classes and methods to write concise, reusable, and efficient code. As you advance, you'll understand how to use the standard library, debug code to troubleshoot problems, and write unit tests to validate application behavior. You'll gain insights into using the pandas and NumPy libraries for analyzing data, and the graphical libraries of Matplotlib and Seaborn to create impactful data visualizations. By focusing on entry-level data science, you'll build your practical Python skills in a way that mirrors real-world development. Finally, you'll discover the key steps in building and using simple machine learning algorithms. By the end of this Python book, you'll have the knowledge, skills and confidence to creatively tackle your own ambitious projects with Python.
Table of Contents (13 chapters)

9. Practical Python – Advanced Topics

Activity 23: Generating a List of Random Numbers in a Python Virtual Environment

Solution

  1. Create a new conda environment called my_env:
    conda create -n my_env

    You should get the following output:

    Figure 9.32: Creating a new conda environment (truncated)

  2. Activate the conda environment:
    conda activate my_env
  3. Install numpy in your new environment:
    conda install numpy

    You should get the following output:

    Figure 9.33: Installing numpy (truncated)

  4. Next, install and run a jupyter Notebook from within your virtual environment:
    conda install jupyter
    jupyter notebook
  5. Create a new jupyter Notebook and start with the following imports:
    import threading
    import queue
    import cProfile
    import itertools
    import numpy as np
  6. Create a function that uses the numpy library to generate an array of random numbers. Recall that when threading, we need to be able to send a signal for the while statement to terminate:
    in_queue = queue.Queue(...