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Home/Articles/#python

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#python

86 articles found

· 10 days ago· Dev.to

NumPy Arrays: Why Not Just Use a Python List?

You have been using NumPy arrays since post 17. np.array([1, 2, 3]). np.zeros((3, 4)). np.random.randn(100). You have typed these dozens of times without stopping to ask why. Why not just use a Python list? Lists hold numbers. Lists can be looped over. Lists support indexing. What does NumPy actuall

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· 10 days ago· Dev.to

🧪 Selenium with Python: A Practical Cheat Sheet for Modern Test Automation

If you’re a QA engineer stepping into automation — or an SDET who just needs a quick refresher — this cheat sheet covers the Selenium + Python essentials you actually use at work. No theory overload. No outdated patterns. Just practical examples you can copy, adapt, and scale. Thanks for reading! Su

#cloud#dev.to
Refactoring Airflow Pipelines: From PythonOperator to TaskFlow
· 10 days ago· Dev.to

Refactoring Airflow Pipelines: From PythonOperator to TaskFlow

Actually Embracing TaskFlow After a Year of Doing It the “Old Way” 1. Introduction: This Isn’t New… But It Feels New If you’ve been using Airflow for a while-like I have-you probably didn’t start with the TaskFlow API. You likely started with the classic Airflow 2.x style: PythonOperator **kwargs ti

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· 11 days ago· Dev.to

Asok: The Modern Python Framework You Can Actually Read

What if you could build modern web apps with Next.js-style routing, Django-level features, and SvelteKit-like reactivity... but with zero dependencies and code you can actually read and understand? Meet Asok — a full-stack Python framework that challenges everything you thought you knew about web de

#cloud#dev.to
Python CQRS: Building distributed systems without the pain (Sagas, Outbox, Event-Driven)
· 11 days ago· Dev.to

Python CQRS: Building distributed systems without the pain (Sagas, Outbox, Event-Driven)

Building distributed systems in Python? Here is how python-cqrs tackles consistency with orchestrated sagas, the mediator pattern, and a transactional outbox—without preaching theory for ten pages first. TL;DR Commands and queries stay in plain handlers: nothing in the handler depends on HTTP, Kafka

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· 12 days ago· Dev.to

Building MCP Servers in Python: a production primer for 2026

The Model Context Protocol (MCP) went from "Anthropic side project" to industry standard in eighteen months. As of March 2026, MCP SDKs are pulling 97 million monthly downloads. Every serious agent framework — Claude, Cursor, OpenAI Agents SDK, Microsoft Agent Framework — speaks MCP natively. If you

#cloud#dev.to
· 12 days ago· Dev.to

If Your Backend Is Python, Why Isn’t Your UI? — Probo-UI 1.4.0

I got tired of this: Write logic in views.py Jump to HTML Add a condition Go back to Python Repeat 50 times And if a template has a layout issue… good luck finding the element At some point it clicked: Templates aren’t UI. They’re just strings with logic inside. So I built Probo UI — now in a stable

#cloud#dev.to
· 12 days ago· DeepLearning.AI Updates

Specific course recomendation for python from zero to hero(data science, machine learning)

Hello dear friends. i am urgently looking for a course that i can learn python very well. it would be from udemy, coursera it does not matter. the essential thing is that it has to cover most recent labs. thanks in advance 1 post - 1 participant Read full topic

#ai#deeplearning.ai-updates
· 12 days ago· Dev.to

Python Developer AI Toolkit, Part 2: Five CLI scripts that automate the prompts

Part 1 of this series covered the prompt library — 272 prompts for Python and backend development organized by task type. This is Part 2: the five CLI scripts that turn those prompts into automation tools you can run from the command line or wire into your development workflow. The goal isn't to rep

#cloud#dev.to
· 13 days ago· Dev.to

Agent Skills Benchmarks, Airflow OCR Workflows, & Python PDF Extraction

Agent Skills Benchmarks, Airflow OCR Workflows, & Python PDF Extraction Today's Highlights This week, we dive into benchmarks showing how targeted agent skills can make smaller AI models outperform larger ones, explore practical applications of Airflow for OCR-driven document processing, and highlig

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Under the Hood: How Bandit SAST Analyzes Your Python Code
· 13 days ago· Dev.to

Under the Hood: How Bandit SAST Analyzes Your Python Code

Abstract 1. The Core Engine: AST (Abstract Syntax Tree) What is AST? It is a tree representation of the abstract syntactic structure of your source code. Why it matters: By building a tree, Bandit understands the context. It knows if a string is just a comment or if it's actually being assigned to a

#cloud#dev.to
· 13 days ago· Towards Data Science

How to Call Rust from Python

A guide to bridging the gap between ease of use and raw performance. The post How to Call Rust from Python appeared first on Towards Data Science.

#ai#towards-data-science
· 13 days ago· Dev.to

Open Source Contributors Needed for Skillware & Rooms (AI/ML/Python)

If you are looking to contribute to 100% open source AI projects (not black boxes source code or backend), and pick up early enough so that good first issues are not absorbed by bots in miliseconds, but also not as early as there are no active contributors, no issue templates, ci/cd, or even proper

#cloud#dev.to
From Python Basics to a Playable Blackjack Game in the Terminal
· 13 days ago· Dev.to

From Python Basics to a Playable Blackjack Game in the Terminal

As a college student learning software development, I wanted to build a project that would help me move beyond basic exercises and start thinking more like a real developer. I did not want to just practice syntax. I wanted to create something interactive that used logic, structure, and problem-solvi

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· 16 days ago· Towards Data Science

How to Learn Python for Data Science Fast in 2026 (Without Wasting Time)

What I wish I did at the beginning of my journey The post How to Learn Python for Data Science Fast in 2026 (Without Wasting Time) appeared first on Towards Data Science.

#ai#towards-data-science
· 21 days ago· Dev.to

Bybit API Python Tutorial: Authentication, Orders, and Position Management

Bybit API Python Tutorial: Authentication, Orders, and Position Management The Bybit V5 API is one of the more capable exchange APIs available to retail algo traders — it supports spot, linear and inverse futures, options, and a unified account model, all under a single endpoint hierarchy. The pybit

#cloud#dev.to
· 23 days ago· Dev.to

My Journey Into Python: From Beginner to Building Real Projects

🚀 My Journey Into Python Hello everyone 👋 My name is Amir Hesham, and I’m an aspiring Python developer and Computer Science student. I recently started my journey into programming, and I want to share how it’s going so far. I chose Python because: It’s beginner-friendly It’s powerful and widely us

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· 23 days ago· Dev.to

Quark's Outlines: Python Expressions

Quark’s Outlines: Python Expressions Overview, Historical Timeline, Problems & Solutions When you write a line in Python that gives a value, that line is called an expression. A Python expression is any piece of code that Python can run and produce a value. An expression can be a number, a string, a

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· 25 days ago· Towards Data Science

A Survival Analysis Guide with Python: Using Time-To-Event Models to Forecast Customer Lifetime

Understand survival analysis by modeling customer retention through Kaplan-Meier curves and Cox Proportional Hazard regressions. The post A Survival Analysis Guide with Python: Using Time-To-Event Models to Forecast Customer Lifetime appeared first on Towards Data Science.

#ai#towards-data-science
SonarQube for Python: Setup, Rules, and Best Practices
· 26 days ago· Dev.to

SonarQube for Python: Setup, Rules, and Best Practices

SonarQube is the most widely used static analysis platform for Python in enterprise environments, and for good reason. Its Python analyzer ships with 500+ rules covering bugs, security vulnerabilities, and code smells - all tracked over time with a persistent dashboard, quality gates that can block

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