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pathlib vs os.path: A Modern Way to Handle File Paths

By Jeferson Peter • Mar 17, 2026 — Python

Python’s `pathlib` introduces a cleaner, object-oriented approach to file system paths. Compared to `os.path`, it improves readability, safety, and cross-platform consistency.

contextlib: Create Your Own Context Manager

By Jeferson Peter • Mar 10, 2026 — Python

Context managers simplify setup and cleanup logic in Python. With `contextlib`, you can create your own reusable context managers for performance tracking, resource handling, and more.

Generators with yield: Lazy Iteration Made Simple

By Jeferson Peter • Mar 3, 2026 — Python

Generators let you handle large data streams with minimal memory usage. The `yield` keyword transforms ordinary functions into lazy iterators that produce values on demand.

The Python Walrus Operator (`:=`): When to Use Assignment Expressions

By Jeferson Peter • Feb 24, 2026 — Python

Introduced in Python 3.8, the walrus operator (`:=`) allows assignment inside expressions. Used carefully, it reduces duplication and keeps related logic together without harming readability.

venv vs uv: Choosing the Right Python Virtual Environment

By Jeferson Peter • Feb 17, 2026 — Python

Comparing `venv` and `uv` for managing Python virtual environments. Learn the differences, trade-offs, and when to choose each tool for your workflow.

From Pandas to Polars: The Shift I Didn’t Expect

By Jeferson Peter • Dec 18, 2025 — Polars & Pandas

A personal look at the moment my data workflows outgrew Pandas — and how moving to Polars made my pipelines faster, clearer, and more predictable.

Creating DataFrames in Pandas vs Polars

By Jeferson Peter • Sep 11, 2025 — Polars & Pandas

Creating a DataFrame is the first step in any data analysis. Let’s see how to do it in Pandas and Polars, side by side, from dicts, records, and lists.

Selecting Rows and Columns — Pandas vs Polars

By Jeferson Peter • Sep 18, 2025 — Polars & Pandas

See how to select data in Pandas (`loc`/`iloc`) and Polars (`select`/`filter`) with simple examples.

Merge/Join Operations — Pandas vs Polars

By Jeferson Peter • Oct 9, 2025 — Polars & Pandas

Merging and joining tables is fundamental in data analysis. Let’s compare how Pandas and Polars perform joins side by side.

Handling Null Values — Pandas vs Polars

By Jeferson Peter • Oct 16, 2025 — Polars & Pandas

Null values are common in datasets. Let’s see how Pandas and Polars deal with missing data using `fill` and `drop` methods.

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