Python Environment for Time Series Forecasting
Last Updated on August 21, 2019
The Python ecosystem is growing and may become the dominant platform for applied machine learning.
The primary rationale for adopting Python for time series forecasting is because it is a general-purpose programming language that you can use both for R&D and in production.
In this post, you will discover the Python ecosystem for time series forecasting.
After reading this post, you will know:
- The three standard Python libraries that are critical for time series forecasting.
- How to install and setup the Python and SciPy environment for development.
- How to confirm your environment is working correctly and ready for time series forecasting.
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Python Environment for Time Series Forecasting
Photo by Joao Trindade, some rights reserved.
Why Python?
Python is a general-purpose interpreted programming language (unlike R or Matlab).
It is easy to learn and use primarily because the
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