Getting Started
So, why Python? The amount of data available worldwide is expanding at an exponential rate. Parsing this data with traditional tools becomes increasingly difficult as the volume and format changes. Oftentimes, a custom solution is required to parse, analyze and present this data.
Enter Python
As far as programming languages go, python is capable of:
- Data collection.
- Data cleaning and processing.
- Data analysis.
- Data visualization.
- Generating tools and solutions through the command line, web and desktop development.
Python is also a high level language which means its easier to read (and therefore learn and code in).
What You Will Learn
In this tutorial series you will be setting up your own development environment which will consist of:
- Python
- An Integrated Development Environment or IDE
- Virtual Environments
- Git
- Jupyter Notebooks
The Anaconda Distribution includes support for many of the packages you'll need for data analysis and will be introduced alongside the ways to manually install the components of your development environment manually.