Blog – SisengAI

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The chain behind Monte Carlo, PageRank and the next word

One 1906 idea, run four ways on this machine: the letters of Eugene Onegin, the neutrons at Los Alamos, the whole web, and a model writing its own text back to itself.

The lambda you no longer need

Method Chaining

Lambda Functions

Three snippets from this blog’s own posts, run again on pandas 3 — and the shorter way to do the same job with pd.col().

The Shortlist: five languages to watch, learn, or both

Programming Languages

Mojo, Rust, Go, Zig and TypeScript in one place: what each one is for, where it is gaining ground, and how to decide whether to watch it, learn it, or both.

The Column That Learned to Draw a Map

Categorical Variables

Entity embeddings gave a category a place in space and won a Kaggle competition in 2016. I rebuilt the trick in PyTorch and measured where it actually pays: fifty shops, five…

The Framework War: How PyTorch Won the Kitchen and TensorFlow Kept the Generator

TensorFlow came from one of the most powerful engineering organisations on earth; PyTorch from a small team who wanted research to hurt less. A decade later, one of them trains…

From Torch to PyTorch: How AI Ended Up Speaking the “Wrong” Language Twice

Language History

The framework that trains most of the world’s AI runs on a language nobody designed for mathematics — and it replaced another one exactly like it. The story of two bets, fourteen…

Python’s Data Structures: Tuples, namedTuples & DataClasses (Retired Legends Edition)

Ever needed to store a fixed collection of related items, like coordinates (x, y) or basic info about a person (name, age)? How about details for legendary retired football…

Grokking the Unpacking Operator

Unpacking Operator

Method Chaining

Imagine for a moment that it is your spouse’s birthday and you planned to buy them a gift - a box with some selected items: jewelry, a watch, perfume, and airpods. You gleefully…

Understanding The Assignment Expression aka Walrus Operator

walrus operator

assignment expression

One of the world’s most widely-used programming languages is undoubtedly Python. Created by Guido van Rossum in 1991, Python’s inevitable growth necessitated a robust framework…

Lambda Functions: How I tend to use them

Lambda Functions

Method Chaining

In programming, you often find yourself repeating the same logic multiple times. When this happens, it’s usually a good idea to use a function. Functions allow us to encapsulate…

Working with Dictionaries and DataFrames

Random Number Generator

In the world of data science and programming, working with structured data is a fundamental skill. Python, being a versatile language, provides powerful tools and libraries to…

Introduction to DuckDB: Working with User Defined Functions (UDF)

User-Defined Functions

DuckDB, a relatively new entrant in the world of databases, is akin to finding a swiss army knife when you’re used to dealing with specialized tools. It’s an in-process SQL…

An introduction to Matplotlib

Matplotlib, often a first encounter for Python enthusiasts diving into data visualization, has evolved into an indispensable tool in the Python data science stack. Initially, its…

Data Wrangling: Karachi Property Prices

Method Chaining

Karachi Property Prices

This dataset encompasses a collection of 8,414 housing advertisements sourced from Zameen.com, specifically pertaining to properties located in Karachi. The dataset is available…

Data Wrangling

Method Chaining

UCI Machine Learning Repository

Data wrangling, often also referred to as data munging, is the process of cleaning, structuring, and enriching raw data into a desired format for better decision-making. It’s a…