Facebook open sourced its forecasting tool [Prohpet] for time series data. Although forecasting is not a trivial task, the libraries are very easy to use and produce nice results quickly. In this basic blog post, I am going to forecast the visitor statistics based on the historical data I collected with Piwik. Python Prerequisites Install and initialize a new virtual Python environment # Install virtual environments package sudo pip3 install virtualenv # Create a new folder for the project mkdir python-projects cd python-projects/ # Create a new virtual environment virtualenv -p python3 py Install Prophet and its Dependencies Within your new Python virtual environment, install the required dependencies first and then Prophet
Jupyter Notebooks are a great way for working with Python interactively. The integration of Python code into documents is very useful for reports or for writing executable documentation of algorithms and functions. The text can be structured and exported in various formats. With the ever increasing popularity of Python based on the data science hype, more and more libraries are available. Although Python3 is considered to be the future of Python, consensus on the question Python 2.