To get the most out of this book

In order to get the most out of this book, you will need the following:

• A familiarity with the basic Python syntax and data structures (for example, lists and dictionaries)
• Some knowledge about data analysis, especially regarding descriptive statistics

You can build up both these skills as you are reading the book, though the book does not go too much into the details, instead providing only the essentials for most of the techniques that a data scientist has to know in order to be successful on her/his projects.

You will also need the following:

• A computer with a Windows, macOS, or Linux operating system and at least 8 GB of memory (if you have just 4 GB on your machine, you should be fine with most examples anyway)
• A GPU installed on your computer if you want to speed up the computations you will find in Chapter 7, Deep Learning Beyond the Basics.
• A Python 3.6 installation, preferably from Anaconda (https://www.anaconda.com/download/)

Download the example code files

You can download the example code files for this book from your account at www.packt.com. If you purchased this book elsewhere, you can visit www.packt.com/support and register to have the files emailed directly to you.

You can download the code files by following these steps:

1. Log in or register at www.packt.com.
2. Select the SUPPORT tab.
3. Click on Code Downloads & Errata.
4. Enter the name of the book in the Search box and follow the onscreen instructions.

Once the file is downloaded, please make sure that you unzip or extract the folder using the latest version of:

• WinRAR/7-Zip for Windows
• Zipeg/iZip/UnRarX for Mac
• 7-Zip/PeaZip for Linux

The code bundle for the book is also hosted on GitHub at https://github.com/PacktPublishing/Python-Data-Science-Essentials-Third-Edition. In case there's an update to the code, it will be updated on the existing GitHub repository.

We also have other code bundles from our rich catalog of books and videos available at https://github.com/PacktPublishing/. Check them out!

Download the color images

We also provide a PDF file that has color images of the screenshots/diagrams used in this book. You can download it here: http://www.packtpub.com/sites/default/files/downloads/9781789537864_ColorImages.pdf.

Conventions used

There are a number of text conventions used throughout this book.

CodeInText: Indicates code words in the text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles. Here is an example: "Mount the downloaded WebStorm-10*.dmg disk image file as another disk in your system."

A block of code is set as follows:

In: G.add_edge(3,4)
    G.add_edges_from([(2, 3), (4, 1)])
    nx.draw_networkx(G)
    plt.show()  

Bold: Indicates a new term, an important word, or words that you see onscreen. For example, words in menus or dialog boxes appear in the text like this. Here is an example: "Select System info from the Administration panel."

Warnings or important notes appear like this.

Tips and tricks appear like this.