π New Python Tutorial!
Tuples in Python https://youtu.be/rB_cv9P0Cl4
Tuples in Python https://youtu.be/rB_cv9P0Cl4
YouTube
Python for Beginners | Python Tuples Tutorial
Master Python Tuples: The Complete Guide (Immutable Data Structures Explained!)
Stop guessing about Python's data types! In this complete tutorial, we break down everything you need to know about Python Tuples, from basic creation to advanced usage like unpackingβ¦
Stop guessing about Python's data types! In this complete tutorial, we break down everything you need to know about Python Tuples, from basic creation to advanced usage like unpackingβ¦
π5
Forwarded from Epython Lab
π How to Become a Self-Taught AI Developer?
AI is transforming the world, and the best part? You donβt need a formal degree to break into the field! With the right roadmap and hands-on practice, anyone can become an AI developer. Hereβs how you can do it:
1οΈβ£ Master the Fundamentals of Programming
Start with Python, as itβs the most popular language for AI. Learn data structures, algorithms, and object-oriented programming (OOP). Practice coding on LeetCode and HackerRank.
πHow to get started Python:https://youtube.com/playlist?list=PL0nX4ZoMtjYGSy-rn7-JKt0XMwKBpxyoE&si=N8rHxnIYnZvF-WBz
How to Create & Use Python Virtual Environments | ML Project Setup + GitHub Actions CI/CD https://youtu.be/qYYYgS-ou7Q
πBeginner's Guide to Python Programming. Getting started now: https://youtube.com/playlist?list=PL0nX4ZoMtjYGSy-rn7-JKt0XMwKBpxyoE&si=N8rHxnIYnZvF-WBz
πData Structures with Projects full tutorial for beginners
https://www.youtube.com/watch?v=lbdKQI8Jsok
πOOP in Python - beginners Crash Course https://www.youtube.com/watch?v=I7z6i1QTdsw
2οΈβ£ Build a Strong Math Foundation
AI relies on:
πΉ Linear Algebra β Matrices, vectors (used in deep learning) https://youtu.be/BNa2s6OtWls
πΉ Probability & Statistics β Bayesian reasoning, distributions https://youtube.com/playlist?list=PL0nX4ZoMtjYEl_1ONxAZHu65DPCQcsHmI&si=tAz0B3yoATAjE8Fx
πΉ Calculus β Derivatives, gradients (used in optimization)
π Learn from 3Blue1Brown, Khan Academy, or MIT OpenCourseWare.
3οΈβ£ Learn Machine Learning (ML)
Start with traditional ML before deep learning:
βοΈ Supervised Learning β Linear regression, decision trees https://youtube.com/playlist?list=PL0nX4ZoMtjYGV8Ff_s2FtADIPfwlHst8B&si=buC-eP3AZkIjzI_N
βοΈ Unsupervised Learning β Clustering, PCA
βοΈ Reinforcement Learning β Q-learning, deep Q-networks
π Best course? Andrew Ngβs ML Course on Coursera.
4οΈβ£ Dive into Deep Learning
Once comfortable with ML, explore:
β‘οΈ Neural Networks (ANNs, CNNs, RNNs, Transformers)
β‘οΈ TensorFlow & PyTorch (Industry-standard deep learning frameworks)
β‘οΈ Computer Vision & NLP
Try Fast.ai or the Deep Learning Specialization by Andrew Ng.
5οΈβ£ Build Real-World Projects
The best way to learn AI? DO AI. π
π‘ Train models with Kaggle datasets
π‘ Build a chatbot, image classifier, or recommendation system
π‘ Contribute to open-source AI projects
6οΈβ£ Stay Updated & Join the AI Community
AI evolves fast! Stay ahead by:
πΉ Following Google AI, OpenAI, DeepMind
πΉ Engaging in Reddit r/MachineLearning, LinkedIn AI discussions
πΉ Attending AI conferences like NeurIPS & ICML
7οΈβ£ Create a Portfolio & Apply for AI Roles
π Publish projects on GitHub
π Share insights on Medium/Towards Data Science
π Network on LinkedIn & Kaggle
No CS degree? No problem! AI is about curiosity, consistency, and hands-on experience. Start now, keep learning, and letβs build the future with AI. π
Tagging AI learners & enthusiasts: Whatβs your AI learning journey like? Letβs connect!. π₯π
#AI #MachineLearning #DeepLearning #Python #ArtificialIntelligence #SelfTaught
AI is transforming the world, and the best part? You donβt need a formal degree to break into the field! With the right roadmap and hands-on practice, anyone can become an AI developer. Hereβs how you can do it:
1οΈβ£ Master the Fundamentals of Programming
Start with Python, as itβs the most popular language for AI. Learn data structures, algorithms, and object-oriented programming (OOP). Practice coding on LeetCode and HackerRank.
πHow to get started Python:https://youtube.com/playlist?list=PL0nX4ZoMtjYGSy-rn7-JKt0XMwKBpxyoE&si=N8rHxnIYnZvF-WBz
How to Create & Use Python Virtual Environments | ML Project Setup + GitHub Actions CI/CD https://youtu.be/qYYYgS-ou7Q
πBeginner's Guide to Python Programming. Getting started now: https://youtube.com/playlist?list=PL0nX4ZoMtjYGSy-rn7-JKt0XMwKBpxyoE&si=N8rHxnIYnZvF-WBz
πData Structures with Projects full tutorial for beginners
https://www.youtube.com/watch?v=lbdKQI8Jsok
πOOP in Python - beginners Crash Course https://www.youtube.com/watch?v=I7z6i1QTdsw
2οΈβ£ Build a Strong Math Foundation
AI relies on:
πΉ Linear Algebra β Matrices, vectors (used in deep learning) https://youtu.be/BNa2s6OtWls
πΉ Probability & Statistics β Bayesian reasoning, distributions https://youtube.com/playlist?list=PL0nX4ZoMtjYEl_1ONxAZHu65DPCQcsHmI&si=tAz0B3yoATAjE8Fx
πΉ Calculus β Derivatives, gradients (used in optimization)
π Learn from 3Blue1Brown, Khan Academy, or MIT OpenCourseWare.
3οΈβ£ Learn Machine Learning (ML)
Start with traditional ML before deep learning:
βοΈ Supervised Learning β Linear regression, decision trees https://youtube.com/playlist?list=PL0nX4ZoMtjYGV8Ff_s2FtADIPfwlHst8B&si=buC-eP3AZkIjzI_N
βοΈ Unsupervised Learning β Clustering, PCA
βοΈ Reinforcement Learning β Q-learning, deep Q-networks
π Best course? Andrew Ngβs ML Course on Coursera.
4οΈβ£ Dive into Deep Learning
Once comfortable with ML, explore:
β‘οΈ Neural Networks (ANNs, CNNs, RNNs, Transformers)
β‘οΈ TensorFlow & PyTorch (Industry-standard deep learning frameworks)
β‘οΈ Computer Vision & NLP
Try Fast.ai or the Deep Learning Specialization by Andrew Ng.
5οΈβ£ Build Real-World Projects
The best way to learn AI? DO AI. π
π‘ Train models with Kaggle datasets
π‘ Build a chatbot, image classifier, or recommendation system
π‘ Contribute to open-source AI projects
6οΈβ£ Stay Updated & Join the AI Community
AI evolves fast! Stay ahead by:
πΉ Following Google AI, OpenAI, DeepMind
πΉ Engaging in Reddit r/MachineLearning, LinkedIn AI discussions
πΉ Attending AI conferences like NeurIPS & ICML
7οΈβ£ Create a Portfolio & Apply for AI Roles
π Publish projects on GitHub
π Share insights on Medium/Towards Data Science
π Network on LinkedIn & Kaggle
No CS degree? No problem! AI is about curiosity, consistency, and hands-on experience. Start now, keep learning, and letβs build the future with AI. π
Tagging AI learners & enthusiasts: Whatβs your AI learning journey like? Letβs connect!. π₯π
#AI #MachineLearning #DeepLearning #Python #ArtificialIntelligence #SelfTaught
YouTube
How to Install Python on Windows: Beginnerβs Guide (Step-by-Step)
Want to start coding in Python on Windows? This beginner-friendly guide walks you through the setup processβfrom installing Python and VS Code to writing your first Python script. π Whether you're a beginner or switching to Python, this tutorial makes itβ¦
π4
π New Python Tutorial!
How to convert List to Tuple https://youtu.be/CzmmdGT8LtA
How to convert List to Tuple https://youtu.be/CzmmdGT8LtA
YouTube
Python for Beginners | How to Convert List to Tuple
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π Exclusive Access:
Join our channel for premium content and resources:https://www.youtube.com/channel/UCsFz0IGS9qFcwrh7a91juPg/join.
π¬ Join Our Discussion Groups:
π± Telegram: https://epythonlab.t.me/
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π Exclusive Access:
Join our channel for premium content and resources:https://www.youtube.com/channel/UCsFz0IGS9qFcwrh7a91juPg/join.
π¬ Join Our Discussion Groups:
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β€6
Python Lists vs Tuples Explained for Beginners | Clear and Simple Examples
https://youtu.be/jB-8oaKiqWI
https://youtu.be/jB-8oaKiqWI
YouTube
Python for Beginners | Python Lists vs Tuples Explained for Beginners | Clear and Simple Examples
Learn the difference between lists and tuples in Python in this easy and beginner-friendly tutorial.
In this video, you will understand:
β What lists and tuples are
β How they look and how to create them
β The main difference (mutability vs immutability)β¦
In this video, you will understand:
β What lists and tuples are
β How they look and how to create them
β The main difference (mutability vs immutability)β¦
π5
Iβm slowly rebuilding my coding habits with small, practical projects. Today I finished a simple CLI-based Expense Tracker that stores everything in a CSV file and gives summaries by month, week, or category.
Itβs lightweight, beginner-friendly, and a good warm-up after some time away.
Repo: https://github.com/epythonlab2/python-mini-projects/tree/master/expense_tracker
Itβs lightweight, beginner-friendly, and a good warm-up after some time away.
Repo: https://github.com/epythonlab2/python-mini-projects/tree/master/expense_tracker
GitHub
python-mini-projects/expense_tracker at master Β· epythonlab2/python-mini-projects
Top 5 Python Mini Projects. Contribute to epythonlab2/python-mini-projects development by creating an account on GitHub.
π4
5 Top Python Mini Projects Inspired by Everyday Problems https://medium.com/@epythonlab/top-5-python-mini-projects-inspired-by-everyday-problems-123200733698
Medium
Top 5 Python Mini Projects Inspired by Everyday Problems
Python tutorials often focus on syntax, but practical learning comes from solving real problems. This article presents five mini projectsβ¦
π4
Excited to share some CLI-based Python Mini Projects perfect for beginners and enthusiasts looking to sharpen their skills:
π File Organizer β Keep your files neat and tidy
π° Daily Expense Tracker β Track your spending easily
β Daily Habit Task Manager β Build consistent habits
π Password Manager (Educational Purpose Only) β Learn secure storage basics
π€ Digital Automation β Automate everyday tasks
All projects are hands-on, simple, and perfect to strengthen your Python fundamentals.
Check out the full code here: https://github.com/epythonlab2/python-mini-projects
#Python #PythonProjects #CLIProjects #Automation #Coding #LearningPython #BeginnerProjects #DevCommunity
π File Organizer β Keep your files neat and tidy
π° Daily Expense Tracker β Track your spending easily
β Daily Habit Task Manager β Build consistent habits
π Password Manager (Educational Purpose Only) β Learn secure storage basics
π€ Digital Automation β Automate everyday tasks
All projects are hands-on, simple, and perfect to strengthen your Python fundamentals.
Check out the full code here: https://github.com/epythonlab2/python-mini-projects
#Python #PythonProjects #CLIProjects #Automation #Coding #LearningPython #BeginnerProjects #DevCommunity
GitHub
GitHub - epythonlab2/python-mini-projects: Top 5 Python Mini Projects
Top 5 Python Mini Projects. Contribute to epythonlab2/python-mini-projects development by creating an account on GitHub.
π3
This new research from Meta introduces Matrix, a peer-to-peer framework where multiple AI agents collaboratively generate synthetic training data through decentralized interactions.
Read
Read
arXiv.org
Matrix: Peer-to-Peer Multi-Agent Synthetic Data Generation Framework
Synthetic data has become increasingly important for training large language models, especially when real data is scarce, expensive, or privacy-sensitive. Many such generation tasks require...