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The Python Workshop

The Python Workshop

By : Bird, Dr. Lau Cher Han, Mario Corchero Jiménez , Graham Lee, Wade
4.3 (36)
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The Python Workshop

The Python Workshop

4.3 (36)
By: Bird, Dr. Lau Cher Han, Mario Corchero Jiménez , Graham Lee, 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)
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Numbers: Operations, Types, and Variables

In the preface, we installed Anaconda, which comes along with Python 3.7 and the Jupyter Notebook. It's time to open a Jupyter Notebook and begin our Pythonic journey.

To Open a Jupyter Notebook

To begin with this book, you need to make sure that you have a Jupyter Notebook open. Here are the steps.

  1. Locate and open your Anaconda Navigator.
  2. Search for Jupyter Notebook in Anaconda Navigator and click on it.
  3. A new window should open in the web browser of your choice.
Figure 1.1: The Jupyter Notebook interface

Figure 1.1: The Jupyter Notebook interface

Note

If you are having trouble, it may mean that your Jupyter Notebook is not set up properly. Go back to the preface or see https://jupyter-notebook.readthedocs.io/en/stable/troubleshooting.html for a troubleshooting guide.

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The Python Workshop
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