Sign In Start Free Trial
Account

Add to playlist

Create a Playlist

Modal Close icon
You need to login to use this feature.
  • Book Overview & Buying The Python Workshop
  • Table Of Contents Toc
The Python Workshop

The Python Workshop

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

Data

Now that you have been introduced to NumPy and pandas, you will use them to analyze some real data.

Data scientists analyze data that exists in the cloud or online. One strategy is to download data directly to your computer.

Note

It is recommended to create a new folder to store all of your data. You can open your Jupyter Notebook in this same folder.

Downloading Data

Data comes in many formats, and pandas is equipped to handle most of them. In general, when looking for data to analyze, it's worth searching the keyword "dataset." A dataset is a collection of data. Online, "data" is everywhere, whereas datasets contain data in its raw format.

You will start by examining the famous Boston Housing dataset from 1980, which is available on our GitHub repository.

This dataset can be found here https://packt.live/31Cd96j.

You can begin by first downloading the dataset onto our system.

Downloading the Boston Housing Data from GitHub...

CONTINUE READING
83
Tech Concepts
36
Programming languages
73
Tech Tools
Icon Unlimited access to the largest independent learning library in tech of over 8,000 expert-authored tech books and videos.
Icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Icon 50+ new titles added per month and exclusive early access to books as they are being written.
The Python Workshop
notes
bookmark Notes and Bookmarks search Search in title playlist Add to playlist font-size Font size

Change the font size

margin-width Margin width

Change margin width

day-mode Day/Sepia/Night Modes

Change background colour

Close icon Search
Country selected

Close icon Your notes and bookmarks

Confirmation

Modal Close icon
claim successful

Buy this book with your credits?

Modal Close icon
Are you sure you want to buy this book with one of your credits?
Close
YES, BUY

Submit Your Feedback

Modal Close icon
Modal Close icon
Modal Close icon