Python is one of the most widely used programming languages. It’s getting a lot of popularity these days because of so many Python frameworks in IoT, Machine Learning, Deep Learning, and Artificial Intelligent space.
These Python Tutorials will help you in getting mastery over the Python Programming. The tips and tricks shared by us will enable you to write pythonic code with high performance, reusability, readability, and maintainability.
I needed to duplicate a configuration file before rewriting it during a deployment script. The original had to stay untouched if anything went wrong. Python ships with several ways to copy files, and I kept reaching for the same one…
I keep coming back to the Python sum() function whenever I need a quick way to add up numbers. It is one of those built-in tools that seems simple on the surface but has enough quirks to trip you up…
The first time I wrote an event handler in Python, I passed a function to another function and could not figure out why it worked. The function I passed was not executed immediately – it was stored and called later…
I ran into a situation last year where I had a pandas DataFrame with 50 columns and needed to pull out specific columns by their numerical position. The column names were generated programmatically and I had no way to know…
I built my first CNN a few years ago and kept seeing Conv2D pop up in every tutorial. It took me a while to understand what was actually happening under the hood when the filter slides across the image. This…
The error stopped my script cold. I had a list of user inputs — some numbers, some not — and I was passing them straight to math.sqrt() without checking. Python threw ValueError and the whole pipeline froze. That was the…
I first ran into namedtuples when debugging a data pipeline. Reading record[0] and record[1] everywhere was a nightmare – switching to record.city and record.state was a instant clarity upgrade that I came back to every time. A namedtuple is a…
I wanted a fun weekend project that actually taught me something useful about Python. Rock Paper Scissors seemed like the right balance — simple rules but enough complexity to make the implementation interesting. I ended up building two versions: the…
I ran into this problem when I had a list of user records with some missing fields, and I needed to extract only the valid ones before processing. Writing a loop felt verbose for something this simple. That’s when I…
I ran into this problem during a data migration when a colleague handed me a CSV full of product codes like “SKU-4829-A” and “ORD-1034-B” — and I needed to pull out just the numbers for validation. Manual extraction was not…