PYTHON PROGRAMMING
Be taught when it’s price chaining Pandas operations in pipes.
The title of this text stresses the strengths and limitations of chaining Pandas operations — however to be trustworthy, I’ll write about enjoyable.
Why enjoyable? Is it in any respect necessary when we’ve information to research?
I don’t know what works for you, however for me enjoyable in work is necessary. Throughout my 20+ years of expertise in information science, I’ve discovered that the extra enjoyment I derive from coding, the extra glad I’m from finishing the duty. And I do imply the method of pursuing the duty, not solely simply finishing it. After all, reaching outcomes issues, in all probability probably the most. However belief me, if you happen to dislike the instruments you’re utilizing, all you’ll need is to complete the job as rapidly as doable. This may result in errors, as you would possibly work unexpectedly and overlook necessary particulars within the information. And that’s one thing you need to keep away from.
I transitioned to Python from R, and analyzing information with R is numerous enjoyable — due to the dplyr syntax. I’ve at all times loved it, and I nonetheless do. Nevertheless, after I switched to Python, I discovered myself preferring it over R. I’ve by no means actually loved programming in R (notice the excellence between analyzing information and programming), whereas…
