python

Have you ever wondered how astronomers predict the exact position of a distant galaxy or track a probe hurtling through the outer solar system? It isn't done with the wall-clock on your microwave. To the cosmos, our human-made calendars are a chaotic patchwork of political decisions and leap seconds. For an AI model or a precise calculation, this simply won't do. You need a clock as linear and un…

A Telegram bot is one of the most practical ways to deploy an AI assistant — your users already have Telegram, there's no app to install, and the Bot API is simple. This guide builds a fully functional AI bot with python-telegram-bot and the Claude API , including commands, inline keyboards, conversation history, error handling, and systemd deployment. Prerequisites Python 3.10+ Telegram Bot Toke…

In the first article, I walked through a small Python data quality ETL starter that reads messy CSV, Excel, JSON, and API-style data, validates it, cleans it, exports it, and generates quality reports. Previous article: Build a Python Data Quality ETL Starter for Messy CSV, Excel, JSON, and API-Style Data This follow-up focuses on the v0.4.0 update of the same project: Data Quality ETL Starter on…

The best way to actually understand data engineering is to build something that breaks, fix it, and watch it successfully run. In this article, we build an ETL pipeline that pulls data from the News API , cleans it up using pandas , and loads it into a local PostgreSQL database. If you are a beginner Python developer or just getting into data engineering, this one is for you! The Goal & The Archi…

Published on : 2026-06-06 Reading time : 8 min Tags : #security #python #audit #devops Overview Over 3 months, I developed and audited 6 Python projects (3 bots + 3 libraries): a FastAPI + Telegram Bot + LLM integration system. I discovered 25 security/code issues and fixed 23 immediately. Audit scope : 91 Python files Issues found : 25 (5 critical, 18 medium, 2 minor) Fix rate : 92% (23/25) Crit…

description: Three production-ready templates — FastAPI backend, React 19 web frontend, and Expo mobile app — pre-wired to talk to each other. Auth, Docker, type-safe API clients, RBAC, and CI/CD included. Just clone and ship. tags: webdev, python, react, reactnative We've all been there. You have a great app idea. You sit down, open a blank terminal, and immediately lose two days configuring aut…

I built an AI-powered PC monitor in Python. 28 strangers shaped its brain. This article is about PC Workman 1.7.6. But it's also about what indie dev actually looks like, between retail shifts, late night compiler sessions, and debugging Polish character encoding bugs at 4 AM. Where it started PC Workman has created, when I live and work in Nederlands by Agency. Then 5 months later, I come back t…

What 3.9M powerlifting records tell us about competition strategy — an EDA with Python When I started this EDA project for my Data Science Master at Evolve , I picked the Open Powerlifting dataset because beyond being a gym-rat, I've always been curious about the competition strategy in powerlifting. The dataset Open Powerlifting is an open-source project that tracks powerlifting competition resu…

LangChain, AutoGen, CrewAI — the framework ecosystem for AI agents is crowded. Most tutorials jump straight into one of these, which is fine for getting something running fast. It is not fine for understanding what is actually happening. This tutorial builds a minimal ReAct-style agent from scratch: no framework dependencies, no magic, ~150 lines of Python. Once you have built it, you will unders…

Tags: python cryptocurrency api quantitative-finance tutorial Estimated reading time: 25 minutes | Difficulty: Intermediate The Problem Nobody Talks About It's 3 AM. Bitcoin just dropped 18% in 45 minutes. Your long position got liquidated while you were asleep. You wake up to a notification that your account balance is zero. This isn't a hypothetical. On August 5, 2024, over $1 billion in liquid…

What is a neural network and how does it work? How can you create a neural network with the famous Python programming language? In this tutorial, learn the concept of neural networks, their work, and their applications along with Python in trading.

For all the Options lover here is a guide to Option’s long strangle strategy with an easy to follow example. You can also learn how to design a payoff chart for this strategy using Python Programming.

The Iron Condor options trading strategy is a combination of the bull put spread options trading strategy and bear call spread options trading strategy.

Broken Wing Butterfly is the same as a Butterfly Spread wherein the sold spread is typically wider spread than the purchased spread. Read all about it here.

This article explains the creation and execution of a Jade Lizard Strategy. Jade Lizard is a neutral or bullish and custom trading strategy.

Learn implementation, analysis, and optimisation techniques for straddle options trading strategy through Python. Elevate your trading skills with practical insights and Python application with a straddle option strategy.

Read how Adarsh Kumar transitioned from a commerce background to algorithmic trading through EPAT. See how he built skills in Python, trading strategies, and quantitative research before working on HFT models.

10 Python One-Liners to Optimize Your Machine Learning Pipelines This tutorial will focus on ten practical one-liners that leverage the power of libraries like Scikit-learn and Pandas to help streamline your machine learning workflows. Image by Author | ChatGPT # Introduction When it comes to machine learning, efficiency is key. Writing clean, readable, and concise code not only speeds up develop…

Data Analytics Internship GE Appliances About the Internship The Intern will be working on Python scripting for automation of data, Machine Learning (Training the data for automating), building user interface to access SQL database. Skill(s) required Python Programming: Advanced proficiency in Python, with experience in libraries such as Pandas, NumPy, Scikit-learn, NLTK or SpaCy, OpenAI, […] The…

I used Mathematica to create the graphics for my previous two posts because SciPy didn’t have the functions I needed. In particular, elliptic integrals and elliptic functions in SciPy only take real-valued arguments, but I needed to use complex arguments. Also, I needed theta functions, which are not in SciPy at all. I thought mpmath […] The post Elliptic functions of a complex argument in Python…