Python is an open-source, general-purpose, and powerful programming language, with applications in many software domains, such as web development, game development, and, of course, data science. Probably the most popular programming language for data science is Python. Programming languages are the key tools that allow data professionals to analyze and extract meaningful insights from vast amounts of data. Data professionals spend a great deal of their time coding. Once you have obtained the source, you can do (after you open terminal as administrator): python setup.py build python setup.If you are considering becoming a data scientist, the sooner you start learning how to code, the better. If you want to keep up to date with the source on github just periodically do: git pullĤ. Git clone git:///statsmodels/statsmodels.gitĢ. You can get the latest source from our github repository.Installing Statsmodel: (OPTIONAL) - If the above method didn’t work.

Feel free to install based on your needs.) pip install numpy pip install scipy pip install matplotlib pip install ipython pip install jupyter pip install pandas pip install sympy pip install nose pip install tempita pip install cython pip install patsy pip install joblib pip install scikit-learn pip install -U statsmodels (These are the required packages for the sample program linked below. However, it is recommended to install them all at once. You can either install one by one when you need or install everything in advance. For Machine Learning, one requires a lot of packages.

Install package pip