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 ran into a situation last month where I had to pull individual frames from a recording for a presentation. The video was only 30 seconds long but contained 900 frames, and I needed specific ones to illustrate key points.…
I keep running into the same problem when I train neural networks: my model learns something, but how do I actually measure whether it is learning the right thing? The loss function is the answer to that question. It is…
I keep coming back to simple file-based projects when I want to teach someone how Python actually works. There’s something about reading and writing data that makes the language feel real rather than abstract. The golf scores program is one…
The challenge with the tiling problem is that it looks trivial at first glance – how many ways can you fill a 4xn wall with 4×1 tiles? – but it hides a recurrence relation that rewards those who dig into…
I ran into a traffic jam on the Outer Ring Road last month that got me thinking. Hundreds of cars, each driver making their own small decisions — speed up, slow down, change lanes — and from that chaos emerges…
I needed a way to catch Python bugs before they reached production. Manual code review helped, but I kept missing the same class of errors. I wanted something that would flag unused imports, malformed strings, and PEP8 violations automatically every…
The first time I tried to debug a misbehaving neural network, I spent hours staring at accuracy numbers that looked reasonable but hid a fundamentally broken model. What I needed was a way to actually measure how confident the model…
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 this problem when my sensor data kept piling up faster than I could make sense of it. A table of numbers told me something was wrong, but watching the values spike in real time told me exactly…
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…
