Python 3.4.x or newer. On Debian and derivatives (Ubuntu): python, python-dev, or python3-dev. On Windows: The official python installer at www.python.org is enough:
- NumPy
- pandas
To get the most out of this book
Download the example code files
You can download the example code files for this book from your account at www.packtpub.com. If you purchased this book elsewhere, you can visit www.packtpub.com/support and register to have the files emailed directly to you.
You can download the code files by following these steps:
- Log in or register at www.packtpub.com.
- Select the SUPPORT tab.
- Click on Code Downloads & Errata.
- 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/Hands-On-Data-Analysis-with-NumPy-and-pandas. 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!
Conventions used
There are a number of text conventions used throughout this book.
CodeInText: Indicates code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles. Here is an example: "Then with this sign, I multiply this array with arr1."
Any command-line input or output is written as follows:
conda install selenium
Bold: Indicates a new term, an important word, or words that you see on screen. For example, words in menus or dialog boxes appear in the text like this. Here is an example: "Here we add monotype and then click on Run cell again."
Warnings or important notes appear like this.
Tips and tricks appear like this.
