#python3

Mastering Dynamic Configurations: A Beginner's Guide to Jinja2 - Part 1

In contemporary network automation, the ability to dynamically generate configurations is essential for network engineers operating in multi-vendor environments. Manual configuration is prone to error

3d ago9 min read

MHMatheus Halmenschlagerblog.matheusyuri.pro

ATC/DDD na Ponta dos Dedos: Extração de Dados com Web Scraping

Na época da escola, se você ainda se lembra, estudamos nas aulas de Biologia uma coisa chamada taxonomia. Você lembra o que é? Basicamente, a taxonomia é uma ciência que se dedica a organizar os seres

3d ago17 min read

SPSamarjeet Patilsamargeet.hashnode.dev

Getting Started with Python: My Learning Journey So Far 🐍

I recently started learning Python, and it has been an exciting experience so far. Python is known for its simplicity and readability, making it one of the best languages for beginners as well as prof

3d ago4 min read

DRDaksh Raj Singh Chauhanproject-protocol.hashnode.dev

1.5 Years, 4 Languages, and 1 Reality Check

Seventeen months ago, I wrote my first line of code. At the time it I didn’t think much about it, I was just a first year Computer Science student with specialization in AI and ML, without any prior k

5d ago3 min read

PKParth krishan Goswamiparthkg.hashnode.dev

Python Basics for Machine Learning

Today, I’m documenting the essential Python syntax for ML—from simple printing to functional programming. 1. Formatting Output The print() function is the first thing we learn, but formatting variables is where it gets useful. The .format() Method Th...

Feb 195 min read

ATAnchal Tiwarianchal-ai.hashnode.dev

Mastering Data Analysis: 10 Python Libraries Every Analyst Must Know

1 Pandas — The Backbone of Data Analysis If data analysis had a heart, it would be Pandas. Why It’s Powerful: Read CSV, Excel, SQL data instantly Clean missing values Group, filter, merge datasets Perform aggregations Example: import pandas a...

Feb 172 min read

PKPayal Kumaripayaltechbolg11.hashnode.dev

From Full Stack to AI: Model Context Protocol MCP

When I started learning AI from a full stack background, one thing confused me. In backend systems, our apps can talk to databases, APIs, file storage, and other services easily. But AI models often feel isolated. You send a prompt and get a response...

Feb 175 min read

DKDRAVID KUMARdravidkumar.hashnode.dev

From Static to Dynamic: How I Deployed Flask on a VPS (And Fought with Apache)

Hey everyone! 👋 So here’s the thing — I’ve been hosting my portfolio at dravidkumar.in on Netlify for a while now. And honestly? Netlify is amazing for static sites. It’s fast, it’s free, and honestly, once you set it up, you can literally forget ab...

Feb 176 min read

PKPayal Kumaripayaltechbolg11.hashnode.dev

From Full Stack to AI: Conversational Agentic AI with Voice Agents and Chained Patterns

When I started learning AI from a Full Stack background, I was comfortable with APIs, databases, and backend logic. But voice agents felt different. Now instead of handling HTTP requests, we handle audio streams. Instead of returning JSON, we return ...

Feb 164 min read

PKParth krishan Goswamiparthkg.hashnode.dev

The Unified Theory of Matrices & Vector Spaces

1. Anatomy of a Linear System Before we draw a matrix, we have to understand where it comes from: Systems of Linear Equations. A generic linear system with m equations and n unknowns takes the form: $$\begin{align*} a_{11}x_1 + a_{12}x_2 + \dots + a_...

Feb 169 min read

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#python3

Mastering Dynamic Configurations: A Beginner's Guide to Jinja2 - Part 1

ATC/DDD na Ponta dos Dedos: Extração de Dados com Web Scraping

Getting Started with Python: My Learning Journey So Far 🐍

1.5 Years, 4 Languages, and 1 Reality Check

Python Basics for Machine Learning

Mastering Data Analysis: 10 Python Libraries Every Analyst Must Know

From Full Stack to AI: Model Context Protocol MCP

From Static to Dynamic: How I Deployed Flask on a VPS (And Fought with Apache)

From Full Stack to AI: Conversational Agentic AI with Voice Agents and Chained Patterns

The Unified Theory of Matrices & Vector Spaces

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#python3

Mastering Dynamic Configurations: A Beginner's Guide to Jinja2 - Part 1

ATC/DDD na Ponta dos Dedos: Extração de Dados com Web Scraping

Getting Started with Python: My Learning Journey So Far 🐍

1.5 Years, 4 Languages, and 1 Reality Check

Python Basics for Machine Learning

Mastering Data Analysis: 10 Python Libraries Every Analyst Must Know

From Full Stack to AI: Model Context Protocol MCP

From Static to Dynamic: How I Deployed Flask on a VPS (And Fought with Apache)

From Full Stack to AI: Conversational Agentic AI with Voice Agents and Chained Patterns

The Unified Theory of Matrices & Vector Spaces