String Interning in Python: A Hidden Gem That Makes Your Code Faster by Yang Zhou via @Medium

Level up the speed of string comparisons.

This helped my code and is well worth a read.

16 Must-Know Bash Commands for Data Scientists by Giorgos Myrianthous via @TDataScience

Exploring some of the most commonly used bash commands.

This was really useful as I really struggle with anything in the Unix or Linux worlds. I love that you see clear examples for each of the commands.

400x times faster Pandas Data Frame Iteration by Satyam Kumar via @TDataScience

Avoid using iterrows() function.

I liked his conclusion and he makes some good points - just adding a dictionary is probably a quick and easy change to code which can make a big difference whilst avoiding the reworking of code.

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Your Python Output Can Be Prettier by Christopher Tao via @TDataScience

 From basic to advance usage of the Python Pretty Printer library.

I found this really interesting and anything that improves the output from a program has got to be good as quite often output can be dreadful.

Practical SQL for Data Analysis by/via @be_haki

In this epic post, Haki Benita shows how to use SQL to perform fast and efficient data analysis. Pivot tables, subtotals, linear regression, binning, and interpolation can all be done with SQL and in many cases, that's the best approach. There's a lot of detail here and a linked index makes it easy to jump around.

I love SQL and I am so much more comfortable writing code in it. I can however see times when Python and Pandas would work better.

Don’t Start Coding With Python — Begin With C by Mohammed Ayar via @BttrProgramming

Don’t fall for the hype surrounding Python. You might regret it later.

An interesting read that put a different spin on things.