August 2019
Intermediate to advanced
342 pages
9h 35m
English
We have seen some of the basic Python libraries, which are useful for our analysis purposes. How do we install these libraries in our development environment?
Being Python libraries, it is obviously possible to proceed with the installation simply by following the traditional utilities provided by the language; in particular, using the pip command, or launching the setup.py provided by each library package. However, there is a much easier way to proceed with the configuration of an analysis and development environment in the field of AI and data science, using Anaconda, as we will see in the upcoming sections.
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