Shreya Bose

I ran into a confusing error the first time I tried to install the Levenshtein package on Windows. The pip install failed with a cryptic message about missing build tools, and I had no idea where to start. That confusion…

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 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 ran into this problem when an e-commerce client asked why their best customers kept disappearing after month two. The obvious metrics told us nothing. What we needed was a way to watch user behavior unfold over time, which is…

I keep coming back to CSV files whenever I need to move data between systems. They are the simplest way to represent tabular data as plain text, and every system from databases to spreadsheets can read them. If you have…

I keep coming back to base64 whenever I’m working with APIs, JWT tokens, or any system that needs to safely transmit binary data as text. The other day I needed to decode a webhook payload that came in as a…

Images and NumPy arrays are closely related in Python. An image is fundamentally a grid of pixel values, and NumPy makes it easy to work with that grid directly. Whether you are building a machine learning pipeline or just need…

Empirical distribution in Python describes the distribution of data from what is observed rather than having an underlying assumption. It represents the frequency or proportion of observations falling into a particular range by using histograms, cumulative distribution functions (CDFs), or…