Tag: #python
Writing on GPUs, LLMs, MLOps, Kubernetes — and mindset · 51 posts
PydanticAI Practical Guide: Why Python Teams Adopt It for Production Agents in 2026
A practical guide to PydanticAI for teams that need Python-first agent systems, model portability, durable workflows, observability, and evaluation in production.
2026-04-12 · 6 min read #pydantic#pydantic-ai#python#ai-agent#mcpPython Backend 2025 Complete Guide: FastAPI vs Django, Async Patterns, and AI Service Architecture
Everything about Python backend! FastAPI vs Django comparison, async/await patterns, Pydantic v2 validation, SQLAlchemy 2.0, Celery task queues, AI service architecture (LangChain+FastAPI), performance optimization, and
2026-03-23 · 18 min read #python#fastapi#django#async#uvicornRegular Expressions Complete Guide 2025: From Basics to Advanced Patterns and Real-World Applications
Everything about regex! Basic syntax (., , +, ?), groups and capturing, Lookahead/Lookbehind, greedy vs lazy matching, 30 practical patterns (email/URL/IP/phone), performance optimization (ReDoS prevention), and language
2026-03-23 · 15 min read #regex#regular-expression#pattern-matching#text-processing#validationOpenAI AI Deployment Engineer (Seoul) Complete Guide: Roadmap to Deploying GPT for the Enterprise
A complete analysis of the OpenAI Seoul AI Deployment Engineer JD. Deploying GPT to Fortune 500 companies — deep dive into Python, K8s, RAG, LangGraph, agentic workflows, model fine-tuning + 3-stage interview strategy +
2026-03-23 · 25 min read #openai#ai-deployment-engineer#python#kubernetes#ragFunctional Programming Practical Guide: Immutability, Pure Functions, and Monads for Backend Developers
Everything about FP! Immutability, pure functions, higher-order functions, closures, currying, monads, functors — learn core FP concepts with TypeScript/Python/Scala code and practical backend patterns (error handling, p
2026-03-23 · 32 min read #functional-programming#immutability#pure-function#monad#higher-orderDesign Patterns 2025 Practical Guide: Reinterpreting GoF 23 Patterns in Modern Languages (TypeScript/Python/Go)
Reinterpreting all 23 GoF design patterns in TypeScript, Python, and Go! Modern implementations of Creational (5), Structural (7), and Behavioral (11) patterns, real-world use cases, anti-patterns, and the TOP 10 intervi
2026-03-23 · 21 min read #design-patterns#gof#singleton#factory#observerToss Bank ML Backend Engineer Study Guide: Server Architecture, ML Serving, and Career Roadmap
Complete analysis of Toss Bank ML Service Team JD. Server architecture design, large-scale traffic handling, AI model serving on K8s, MSA distributed tracing — with a 6-month study roadmap and interview preparation.
2026-03-21 · 34 min read #ml-engineering#backend#tossbank#kubernetes#pythonSports Analytics & Data Science Complete Guide: From Moneyball to AI Tactical Analysis
From the Moneyball revolution and the NBA 3-point era to xG soccer analytics and AI injury prediction — a complete guide to sports data science with Python code examples.
2026-03-17 · 19 min read #sportsanalytics#datascience#moneyball#nbaanalytics#soccerdataTensorFlow & Keras Complete Guide: Zero to Hero - From Installation to Production Deployment
A comprehensive guide to mastering TensorFlow and Keras from basics to production deployment. Learn tensor operations, Keras APIs, CNN/RNN/Transformer, TensorBoard, TF-Serving, and TFLite with hands-on examples.
2026-03-17 · 26 min read #tensorflow#keras#deep-learning#ai#pythonPython Complete Guide for AI/ML: Master NumPy, Pandas, Matplotlib, and Scikit-learn
The complete guide to mastering the Python ecosystem for AI and machine learning. Master NumPy array operations, Pandas data processing, Matplotlib/Seaborn visualization, and Scikit-learn machine learning through hands-o
2026-03-17 · 22 min read #python#numpy#pandas#scikit-learn#matplotlibPyTorch Complete Guide: Zero to Hero — From Tensors to Distributed Training
A comprehensive guide to mastering PyTorch from the basics to advanced techniques. Learn tensor operations, automatic differentiation, CNN/RNN/Transformer implementation, and distributed training with practical examples
2026-03-17 · 21 min read #pytorch#deep-learning#ai#python#neural-networkPython Advanced Techniques for AI/ML: Performance Optimization, Parallel Processing, Memory Management
A comprehensive guide to advanced Python techniques for AI/ML development. Master performance profiling, multiprocessing, async/await, Numba JIT, Cython, memory profiling, and type hints with practical examples.
2026-03-17 · 24 min read #python#advanced#performance#multiprocessing#numbaProgramming Language Wars 2026: Rust vs Go vs Python Complete Comparison Guide
Complete programming language comparison for 2026. Python surges as AI language (+7pp), Go dominates cloud-native, Rust most admired (72%), TypeScript web standard. Practical guidance on which language to learn for caree
2026-03-16 · 8 min read #rust#go#python#programming#languagePython PyPI Supply Chain Attack Defense Strategy: From Typosquatting to Multi-layered Security
Analyzes the types of Python PyPI supply chain attacks that surged in 2025-2026, presenting multi-layered defense strategies against typosquatting, dependency confusion, and malicious build scripts with practical code ex
2026-03-14 · 16 min read #python#pypi#supply-chain#devops#securityAlgorithmic Trading Backtesting in Practice: Python Backtrader Strategy Implementation, Performance Evaluation, and Risk Management
Covers the complete process of algorithmic trading backtesting with Python Backtrader. Explores backtesting fundamentals (Walk-Forward, Look-Ahead Bias, Survivorship Bias), Backtrader architecture, SMA crossover/RSI/Boll
2026-03-12 · 15 min read #finance#algorithmic-trading#backtesting#backtrader#pythonQuantitative Risk Management: VaR, CVaR, and Portfolio Risk
A comprehensive guide to quantitative risk management using VaR, CVaR, and portfolio risk analysis with Python implementation.
2026-03-12 · 32 min read #finance#risk-management#var#cvar#portfolioPython Algorithmic Trading Practical Guide: Backtesting Frameworks, Strategy Development, and Risk Management
A comprehensive guide to algorithmic trading with Python. Covers backtesting framework comparison, Moving Average Crossover, RSI Mean Reversion, and Bollinger Bands strategy implementation, risk metrics like Sharpe Ratio
2026-03-11 · 15 min read #finance#algorithmic-trading#backtesting#python#quantitative-financeOptions, Futures, and Derivatives Hedging with Python
A guide to options, futures, and derivatives hedging strategies using Python, covering pricing models, Greeks, and risk management.
2026-03-09 · 34 min read #finance#derivatives#options#futures#hedgingSlack Bot Building Practical Guide — Python Bolt SDK, Event Handling, Slash Commands
A comprehensive guide to building Slack Bots with Python Bolt SDK, covering app setup, event handling, slash commands, modals, Block Kit, and deployment with practical code.
2026-03-09 · 23 min read #chatbot#slack-bot#python#bolt-sdk#automationAlgorithmic Trading System Architecture with Python
A comprehensive guide to building algorithmic trading system architecture with Python, covering system design, order management, and risk controls.
2026-03-08 · 46 min read #finance#algorithmic-trading#python#backtesting#quantitative-finance