Posted inVMware
Automating VMware Workstation with REST API: From Clicks to Code
Stop manual clicking. This guide helps you master the VMware Workstation REST API to automate VM power operations using Python and cURL.
Posted inPython
Build Your Own Website Watcher with Python: Track Price Changes and News via Telegram
Learn how to build a custom website monitoring tool with Python and Playwright. Get instant Telegram notifications for price or content changes, for free and fully automated.
Posted inPython
Mastering Google Sheets with Python & gspread: A Practical Guide from A-Z
A detailed guide on connecting Python to Google Sheets using the gspread library. Covers everything from Service Account setup to performance and security tips for real-world projects.
Posted inAI
Don’t Make AI Work Alone: Building a Multi-Agent Team with AutoGen
Instead of using a single AI, AutoGen lets you build a team of agents that coordinate, write code, and debug together. Learn how to automate complex tasks with Python now.
Posted inPython
Using itertools to Conquer Big Data: Don’t Let MemoryError Get in Your Way
Don't let MemoryError stop you. Discover how to use itertools to process millions of records efficiently, optimize RAM, and speed up your Python scripts.
Posted inPython
Mastering Python functools: Writing Better, Faster Code
Stop letting your Python code lag due to redundant calculations. Discover how to use lru_cache, singledispatch, and partial in the functools library to optimize performance and clean up your code today.
Posted inPython
MongoDB + Python: From Basic CRUD to Advanced Aggregation with PyMongo
Learn how to connect Python with MongoDB efficiently. This guide covers optimizing CRUD with insert_many, using Aggregation Pipelines, and indexing techniques for big data.
Posted inPython
Process Python Data Like a Pro with Counter, defaultdict, and deque
Optimize Python performance by replacing manual loops with Counter, defaultdict, and deque. A solution for cleaner code and faster large-scale data processing.
Posted inPython
Pytest-xdist: Running Tests in Parallel in Python, Speed Up Your Test Suite by 4x
A 300-test suite that takes 8 minutes on every push is something no developer wants to deal with. pytest-xdist targets the root cause: spawning multiple workers to run in parallel, putting all your CPU cores to work instead of waiting sequentially. This article covers installation, choosing the right --dist strategy, and practical tips to avoid common pitfalls when switching to parallel testing.
Posted inPython
Speed Up Python 100x with Numba: Rescuing Loops from “Snail-Paced” Performance
Is Python criticized for being slow due to loops? Numba changes that. Discover how to speed up Python code dozens of times with just one @njit decorator line.