Throughout this book, we will be using Ubuntu OS to run all the experiments because there is a great community support for Linux and mostly any DL application can be setup easily on Linux. For any assistance on installation and setup related to Ubuntu please refer these tutorials (https://tutorials.ubuntu.com/). On top of that, this book will use Anaconda package with Python 2.7+ to write our code, train, and test. Anaconda comes with a huge list of pre-installed python packages such as numpy, pandas, sklearn, and so on. which are commonly used in any data science project.
Why do we need Anaconda? Can we use vanilla python?
Since Anaconda is a generic bundle which contains iPython Notebook, editor, and lots of Python libraries preinstalled. So it saves time to setup everything and one can quickly start on solving the Data Science problem instead of configuring the environment.
Yes, you can use the default Python its totally readers choice and we will learn at the end of this chapter on how to config python env using script
Since Anaconda is a generic bundle which contains iPython Notebook, editor, and lots of Python libraries preinstalled. So it saves time to setup everything and one can quickly start on solving the Data Science problem instead of configuring the environment.
Yes, you can use the default Python its totally readers choice and we will learn at the end of this chapter on how to config python env using script
.