Tony Anderson

[Astrojoc @astrojoc]

Yo aprendí inglés haciendo varias cosas, entre ellas viendo series (Dr. House).

Esta fue una de las técnicas de estudio más importantes porque me ayudó con varios aspectos del idioma.

Si tuviera que aprender de nuevo, haría esto:

[Jesse--The Data Guy @Mbadiwejesse]

7 data analytics project for beginners

[CodeCrafters @CodeCrafters11]

learn everything for free on YouTube:

• Excel = Leila Gharani
• Power BI = Ali Ahmad
• SQL = Alex the Analyst
• Data cleaning = Alex the Analyst

No degree. No bootcamp.

Just the right order and consistency.

[TechiesVerse @TechiesVerse]

🐍 Python projects recruiters actually love

• Large-Scale Web Scraping Platform → Asyncio + Playwright + PostgreSQL

• Automated Data Pipeline → Python + APIs + Scheduling + ETL

• Real-Time Log Analyzer → Regex + Multithreading + Monitoring

• Distributed Task Queue System → Celery + Redis + Background Workers

• API Rate Limiter & Gateway → FastAPI + Caching + Authentication

• File Synchronization Tool → Watchdog + Hashing + Parallel Processing

• Command-Line DevOps Toolkit → Click/Typer + SSH + Automation

• URL Shortener Service → FastAPI + PostgreSQL + System Design

• Code Dependency Visualizer → AST Parsing + Graph Generation

• Custom Python Package → Packaging + Testing + Documentation + CI/CD

• PDF & Document Processing Engine → OCR + NLP + Data Extraction

• Real-Time Stock/Market Tracker → WebSockets + Async Programming

• Automated Report Generator → Data Processing + PDF/Excel Exports

• Database Migration Tool → SQLAlchemy + Version Control + Rollbacks

• Workflow Automation Engine → Rules + Triggers + Task Orchestration

You don't need 20 CRUD apps.

You need 3–4 projects that demonstrate:
• System design
• Clean architecture
• Database skills
• APIs
• Automation
• Production-ready code

That's what makes recruiters think:
"Okay, this person can actually build software." 🐍⚡

[Reads with Ravi @readswithravi]

The future belongs to the consistent.

[Dan Kornas @DanKornas]

This YouTube playlist is the kind of resource to keep around for repeat study: Python Tutorials.

The useful part is the order. It gives you a path from Python for Beginners into Data Structures and Algorithms in Python.

𝗥𝗟, 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 & 𝗦𝗮𝗳𝗲𝘁𝘆:
↳ Python for Data Science - Course for Beginners (Learn Python, Pandas, NumPy, Matplotlib)

𝗠𝗼𝗿𝗲 𝘁𝗼𝗽𝗶𝗰𝘀:
↳ Python for Beginners – Full Course [Programming Tutorial]
↳ Intermediate Python Programming Course
↳ Python for Everybody - Full University Python Course
↳ Object Oriented Programming with Python - Full Course for Beginners
↳ Flask Course - Python Web Application Development

Best use: treat it as a map of the field. Watch once for the arc, then revisit the parts where you need implementation depth.

Link is in the first comment 👇

♻️ Share this with your network if you found it useful or insightful.

[Jean Ferrari @jferrari5]

Lo mejor es q Keiko no va a ser presidenta, en segunda vuelta le van a ganar quien sea que pase..ojalá sea PPK.

[Dhanian 🗯️ @e_opore]

20 Python Project Ideas to Build Real-World Applications

1. Password Manager Application
→ Tech Stack: Python, Tkinter, SQLite

2. Web Scraper for News & Blogs
→ Tech Stack: Python, BeautifulSoup, Requests

3. AI Chatbot with NLP
→ Tech Stack: Python, Transformers, Flask

4. Expense Tracker System
→ Tech Stack: Python, Flask, SQLite

5. Task Automation Scripts
→ Tech Stack: Python, OS Module, Schedule

6. Weather Forecast App
→ Tech Stack: Python, OpenWeather API, Tkinter

7. Face Detection System
→ Tech Stack: Python, OpenCV, Deep Learning

8. PDF Merger & Splitter Tool
→ Tech Stack: Python, PyPDF2

9. Stock Price Prediction App
→ Tech Stack: Python, TensorFlow, Pandas

10. Real-Time Chat Application
→ Tech Stack: Python, Django Channels, Redis

11. QR Code Generator & Scanner
→ Tech Stack: Python, qrcode, OpenCV

12. AI Text Summarizer
→ Tech Stack: Python, Hugging Face, Flask

13. Portfolio Website Backend
→ Tech Stack: Python, Django, PostgreSQL

14. File Organizer Automation Tool
→ Tech Stack: Python, shutil, OS Module

15. Email Automation System
→ Tech Stack: Python, smtplib, MIME

16. Machine Learning Recommendation System
→ Tech Stack: Python, Scikit-learn, Pandas

17. Speech-to-Text Application
→ Tech Stack: Python, DeepSpeech, TensorFlow

18. Image Classification Model
→ Tech Stack: Python, CNN, PyTorch

19. REST API Backend with FastAPI
→ Tech Stack: Python, FastAPI, PostgreSQL

20. AI Resume Screening System
→ Tech Stack: Python, NLP, Scikit-learn

➡️ Master Python Development Projects with this ebook:
https://t.co/IzXwYxeOS6

[yourclouddude @yourclouddude]

Projects are your portfolio. Not certificates.

[Pooja Pawar, PhD @SheExploresData]

You do not need expensive courses to start learning tech. Many high-quality platforms offer free resources for programming, cloud, databases, AI, cybersecurity, and data science. Consistent learning and hands-on practice matter most. #Programming #DataScience #AI #CloudComputing #CyberSecurity

[Ezekiel @ezekiel_aleke]

How I would learn Excel for 30 days🔥

How would you?

[Bayyoo @TheBayoHub]

Things beginner data analysts should stop doing immediately. 🧵👇

[Python Programming @PythonPr]

Python Object Oriented Programming (OOP) - For Beginners
https://t.co/lMjqlQBc2h

[yourclouddude @yourclouddude]

7 mistakes keeping beginners unemployed in tech:

[Darwinglish @SoyDarwinglish]

No me he cansado de recomendar @sesame

Es de las herramientas de voz con IA más naturales que he probado.
Da un poquito de miedo lo real que se siente 😅

Y si estás en A2, puedes aprovechar algo que descubrí por accidente:

también me entendió en español 🤯

Entonces puedes empezar dándole instrucciones en español
y luego practicar en inglés.

Si quieres que te comparta qué le pido para tener mejores resultados,

Escribe Sesame
y te lo mando por DM 👇

[Vaishnavi @_vmlops]

Top 9 Feature Engineering Techniques with Python

https://t.co/D4tkW8E7Jw

[aditya @adxtyahq]

best free hack for developers rn:

want tutorials? -> youtube
want skills? -> build projects
want experience? -> open source
want opportunities? -> post online consistently
want mentorship? -> talk to people better than you
want confidence? -> ship in public
want clarity? -> stop consuming and start building
want a network? -> help people online
want internships? -> become impossible to ignore

internet is literally the most unfair advantage if you use it properly

[JR | Data Engineer @Mbadiwejesse_]

> Don’t overthink Data Engineering.

• Learn SQL → querying and transforming data

• Learn Python → data processing and automation

• Learn Data Warehouses → storing analytical data

• Learn ETL/ELT → moving and transforming data

[Curious Minds @CuriousMindsHub]

Repeat it.
Repeat it.
Repeat it.
Repeat it.

Because memory loves repetition.

[TechP @Tech_p001]

🔥 Simple daily routine

1 hour → learn concept
1 hours → code + practice
30 mins → debug + improve
30 mins → build small feature/project