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Review of Python Courses (Part 21)

In Part 20, I summarized my Datacamp courses 59-61. Today I will continue with the next three.

As a reminder, I introduced you to my recent work learning Python here.

My course #62 was Time Series Analysis in Python. This clearly has potential applications for investment returns, but in the end I wasn’t totally sure what those might be. The course covers:

My course #63 was Intermediate Predictive Analytics in Python. This course covers:

My course #64 was Building and Distributing Packages with Conda. This is another shell-related course I found hard to absorb since I do very little in the shell. I’m not the only newbie who feels this way, either. This was a recent post to the group:

> I have been doing Python courses for a while but now I actually wanna try some real
> live data on my laptop and I am not sure on how to install all of the needed stuff
> (pandas, numpy, etc.). I have downloaded the latest Python version and the PyCharm
> editor but… [the courses] do not really have anything to show you how to actually
> make the rest of the things work for inexperienced people such as myself.

I downloaded Spyder IDE, which has met most of my needs. It crashes sometimes and gives repetitive errors upon start-up, though, which are both quite annoying. I’ve also had mixed results downloading some libraries like Backtester.

Speaking of Anaconda, or conda for short, my 64th course covers:

I will review more courses next time.

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