Examples
Comparisons of DS&A tasks across different languages"
9 docs tagged with "python"
View all tagsHow to Build Tree Structures
Explore multiple techniques for converting flat or semi-structured data into trees in Python, including recursive, map-based, and bottom-up builds like Merkle trees.
Introduction: Choosing the Right Language for Technical Interviews
A pragmatic exploration of Go, JavaScript, Python, and C++ in the high-stakes context of technical interviews. This living guide compares syntax, performance, paradigms, and practical usability to help you pick the right tool for the job.
Leetcode Toolbox: Surviving the Game
This section isn’t about data structures and algorithms — it’s about surviving the system. Tips and patterns to help you finish implementation before time runs out, even when your engineering instincts are working against you.
Python Cheatsheet for Returning Programmers
Quick syntax and language reference for experienced developers returning to Python. Covers list comprehensions, lambda, unpacking, reflection, scoping, and more.
Solving, Not Sorting: When to Use Python’s `sorted()` and When to Drop Down
A timed problem-solver's guide to efficient sorting in Python
The Many Powers of `in` in Python
Existence checks, containment, and elegant branching
Traversing Trees: Eager vs Lazy Approaches
Compare recursive tree traversal with and without generators, highlighting performance and readability tradeoffs.
Why Python is the Language of MVPs and POCs (Even if You Used to Hate It)
A personal and technical reflection on how Python became my default language for MVPs — despite my early frustrations.