Loading video...

Video Failed to Load

Go Home

The 5 GitHub repos I'd use to learn coding from scratch in 2026: 1. Developer Roadmap - visual roadmaps for every path 2. 30 Days of Python - structured beginner Python 3. Project Based Learning - build real projects in any language 4. Coding Interview University - self-study plan...

chrispathway's profile picture

chrispathway

36,700 subscribers

185,500 views • 2 months ago •via TikTok

EducationScience & Technology#tech#ai#coding#programming#student
LIVE

Anya Rossi• Live Now

Private livecam show

0 Comments

No comments available

Comments from the original post will appear here

Related Videos

Master python in 2026 Learn Python from beginner to . 🐍🔥 This roadmap will help you become a professional Python developer step by step. Start coding smarter and build your future with Python! ✅ Python Basics ✅ AI & Machine Learning ✅ Data Science ✅ Automation Projects ✅ Web Development ✅ Career Roadmap Subscribe for more coding and AI content! #Python #Python2026 #LearnPython #PythonProgramming #Coding
9:07

Master python in 2026 Learn Python from beginner to . 🐍🔥 This roadmap will help you become a professional Python developer step by step. Start coding smarter and build your future with Python! ✅ Python Basics ✅ AI & Machine Learning ✅ Data Science ✅ Automation Projects ✅ Web Development ✅ Career Roadmap Subscribe for more coding and AI content! #Python #Python2026 #LearnPython #PythonProgramming #Coding

ZabihCodeLab

12,000 views • 5 months ago

Coding Projects for BEGINNERS Learning to Code #python #coding #techtoktips #fyp
0:37

Coding Projects for BEGINNERS Learning to Code #python #coding #techtoktips #fyp

Sajjaad Khader

12,400 views • 10 months ago

Python Project for Beginners 👨‍💻🐍 #coding #programming #softwareengineer #fyp #python
0:30

Python Project for Beginners 👨‍💻🐍 #coding #programming #softwareengineer #fyp #python

Evolve - Data & Code

2,100,000 views • 3 years ago

this is free f*cking gold for AI engineers 10 repos i'd actually keep, from python fundamentals to LLMs, agents and production AI. skip the random tutorials 1. Python-100-Days - a 100 day path through fundamentals, data analysis, web dev ↳ 2. Generative AI for Beginners - LLM basics, prompting, RAG, agents, fine-tuning ↳ 3. LLMs from Scratch - build one yourself: tokenization, attention, transformers, training ↳ 4. ML for Beginners - 12 weeks, 26 lessons of classical ML ↳ 5. OpenAI Cookbook - working examples to go from learning to building ↳ 6. Stable Diffusion - the original implementation and research code ↳ 7. AI Agents for Beginners - tool use, RAG, agent frameworks, multi-agent systems ↳ 8. AI for Beginners - 12 weeks, 24 lessons: neural nets, vision, NLP ↳ 9. LLM App - RAG pipelines, enterprise search, real-time data, vector search ↳ 10. Segment Anything - Meta's foundation model for image segmentation ↳ pick by where you are: > python -> Python-100-Days > ML -> ML-For-Beginners > LLMs -> LLMs-from-scratch > agents -> AI-Agents-for-Beginners > building -> OpenAI Cookbook, LLM App > vision -> Segment Anything pick one, build something, then move to the next
0:24

this is free f*cking gold for AI engineers 10 repos i'd actually keep, from python fundamentals to LLMs, agents and production AI. skip the random tutorials 1. Python-100-Days - a 100 day path through fundamentals, data analysis, web dev ↳ 2. Generative AI for Beginners - LLM basics, prompting, RAG, agents, fine-tuning ↳ 3. LLMs from Scratch - build one yourself: tokenization, attention, transformers, training ↳ 4. ML for Beginners - 12 weeks, 26 lessons of classical ML ↳ 5. OpenAI Cookbook - working examples to go from learning to building ↳ 6. Stable Diffusion - the original implementation and research code ↳ 7. AI Agents for Beginners - tool use, RAG, agent frameworks, multi-agent systems ↳ 8. AI for Beginners - 12 weeks, 24 lessons: neural nets, vision, NLP ↳ 9. LLM App - RAG pipelines, enterprise search, real-time data, vector search ↳ 10. Segment Anything - Meta's foundation model for image segmentation ↳ pick by where you are: > python -> Python-100-Days > ML -> ML-For-Beginners > LLMs -> LLMs-from-scratch > agents -> AI-Agents-for-Beginners > building -> OpenAI Cookbook, LLM App > vision -> Segment Anything pick one, build something, then move to the next

Mr. Buzzoni

33,700 views • 2 months ago

If I was learning how to code again, these are the 5 projects I’d build first 👩🏽‍💻🧬 ..bioinformatics edition 🫶🏽 From beginner-friendly projects to building a full analysis bioinformatics pipeline, this is how I’d actually learn Python & coding through real projects!! Which one would you build first? 👀 #bioinformatics #coding #python #programming #learntocode
1:24

If I was learning how to code again, these are the 5 projects I’d build first 👩🏽‍💻🧬 ..bioinformatics edition 🫶🏽 From beginner-friendly projects to building a full analysis bioinformatics pipeline, this is how I’d actually learn Python & coding through real projects!! Which one would you build first? 👀 #bioinformatics #coding #python #programming #learntocode

Dr. Annabelle | tech & coding✨

28,600 views • 3 months ago

Python explained in 30 seconds for beginners, and how to learn it step by step #coding #codingforbeginners #learntocode #python #computerscience
0:38

Python explained in 30 seconds for beginners, and how to learn it step by step #coding #codingforbeginners #learntocode #python #computerscience

Erik Cupsa

293,100 views • 6 months ago

Python explained in 30 seconds for beginners, and how to learn it step by step #coding #codingforbeginners #learntocode #python #computerscience
0:50

Python explained in 30 seconds for beginners, and how to learn it step by step #coding #codingforbeginners #learntocode #python #computerscience

Erik Cupsa

18,400 views • 19 days ago

Master the Python for loop in just 60 seconds — even if you’re brand new. Beginner-friendly breakdown to help you actually get it. #coding #python #learnpython #programming #tech #hoodcoding
1:13

Master the Python for loop in just 60 seconds — even if you’re brand new. Beginner-friendly breakdown to help you actually get it. #coding #python #learnpython #programming #tech #hoodcoding

arrionknight

503,500 views • 1 year ago

Let's learn how to code in Python for FREE together! 👩🏽‍💻💗 Bringing back my Learn to Code for FREE series with one of my favourite platforms for learning Python! ✨ COURSE DETAILS ✨ 💡 Name: Python by Kaggle Learn 💡 Contents: Learn Python fundamentals, including functions, loops, lists and working with libraries, with interactive coding exercises to practise along the way! 💡 Length: Approximately 5 hours 💡 Cost: Completely FREE! I'll be sharing lots more free coding courses and resources, so save this for later! 💕 ☁️ Have you used Kaggle before? Or is there another free coding platform you'd recommend? #learntocode #python #codingtiktok #programming #pythonprogramming
0:29

Let's learn how to code in Python for FREE together! 👩🏽‍💻💗 Bringing back my Learn to Code for FREE series with one of my favourite platforms for learning Python! ✨ COURSE DETAILS ✨ 💡 Name: Python by Kaggle Learn 💡 Contents: Learn Python fundamentals, including functions, loops, lists and working with libraries, with interactive coding exercises to practise along the way! 💡 Length: Approximately 5 hours 💡 Cost: Completely FREE! I'll be sharing lots more free coding courses and resources, so save this for later! 💕 ☁️ Have you used Kaggle before? Or is there another free coding platform you'd recommend? #learntocode #python #codingtiktok #programming #pythonprogramming

Dr. Annabelle | tech & coding✨

22,800 views • 7 days ago

Wordle but for Python 🫪 This free game allows you to come up with creative solutions to match a target display using Python code. There’s a new target display every day and it’s a fun way to practice your Python coding and logical thinking skills! Follow for more free coding resources ✅ #code #coding #tech #learntocode #python
0:25

Wordle but for Python 🫪 This free game allows you to come up with creative solutions to match a target display using Python code. There’s a new target display every day and it’s a fun way to practice your Python coding and logical thinking skills! Follow for more free coding resources ✅ #code #coding #tech #learntocode #python

softwarewithnick

448,500 views • 3 months ago

Python RoadMap🧑‍💻🧑‍💻 #creatorsearchinsights #whatissoftwareengineering #coding #programming #pythonprogramming @Sherrif @Python Programming
0:25

Python RoadMap🧑‍💻🧑‍💻 #creatorsearchinsights #whatissoftwareengineering #coding #programming #pythonprogramming @Sherrif @Python Programming

@PythonHacks

11,500 views • 4 months ago

Blockchain can enhance your existing Python projects. Here’s why blockchain is important: #python #blockchain #AlgoKit #Algorand #smartcontracts #defi #cryptocurrency #programming #developer #programmer #softwaredeveloper #coding #coder #computerscience #dapp #nft #Algos #perawallet #pera #programming #developer #programmer #coding #coder #softwaredeveloper #computerscience #project
0:50

Blockchain can enhance your existing Python projects. Here’s why blockchain is important: #python #blockchain #AlgoKit #Algorand #smartcontracts #defi #cryptocurrency #programming #developer #programmer #softwaredeveloper #coding #coder #computerscience #dapp #nft #Algos #perawallet #pera #programming #developer #programmer #coding #coder #softwaredeveloper #computerscience #project

Python Developer

11,991 views • 2 years ago

How to Learn any Skill in 30 Days using Claude for FREE! Paste this prompt in Claude: “I want to learn [skill] from scratch in 30 days. I have [X hours] per day to dedicate to learning. Build me a structured day by day learning roadmap that takes me from complete beginner to job ready. Include what to study, what to practice, and what to build each week.”
1:11

How to Learn any Skill in 30 Days using Claude for FREE! Paste this prompt in Claude: “I want to learn [skill] from scratch in 30 days. I have [X hours] per day to dedicate to learning. Build me a structured day by day learning roadmap that takes me from complete beginner to job ready. Include what to study, what to practice, and what to build each week.”

Jobs with Aramide

29,796 views • 3 months ago

Coding with a 1% keyboard #coding #programmingmemes #python #java #memes #coder #programming #projects #funnyreels #code
0:21

Coding with a 1% keyboard #coding #programmingmemes #python #java #memes #coder #programming #projects #funnyreels #code

Cortin

38,700 views • 1 year ago

How to get started programming pt. 1 (in python or whatever else) 👨‍💻🐍🤔 #coding #softwareengineer #programming #fyp #python
1:06

How to get started programming pt. 1 (in python or whatever else) 👨‍💻🐍🤔 #coding #softwareengineer #programming #fyp #python

Evolve - Data & Code

265,700 views • 3 years ago

if you're struggling on where to start learning ML, here’s a playlist of 30 youtube videos to learn machine learning fundamentals from scratch "Machine Learning: Teach by Doing" is a solid choice to learn both theory and code. (1) Introduction to Machine Learning Teach by Doing: (2) What is Machine Learning? History of Machine Learning: (3) Types of ML Models: (4) 6 steps of any ML project: (5) Install Python and VSCode and run your first code: (6) Linear Classifiers Part 1: (7) Linear Classifiers Part 2: (8) Jupyter Notebook, Numpy and Scikit-Learn: (9) Running the Random Linear Classifier Algorithm in Python: (10) The oldest ML model - Perceptron: (11) Coding the Perceptron: (12) Perceptron Convergence Theorem: (13) Magic of features in Machine Learning: (14) One hot encoding: (15) Logistic Regression Part 1: (16) Cross Entropy Loss: (17) How gradient descent works: (18) Logistic Regression from scratch in Python: (19) Introduction to Regularization: (20) Implementing Regularization in Python: (21) Linear Regression Introduction: (22) Ordinary Least Squares step by step implementation: (23) Ridge regression fundamentals and intuition: (24) Regression recap for interviews: (25) Neural network architecture in 30 minutes: (26) Backpropagation intuition: (27) Neural network activation functions: (28) Momentum in gradient descent: (29) Hands on neural network training in Python: (30) Introduction to Convolutional Neural Networks (CNNs):
0:52

if you're struggling on where to start learning ML, here’s a playlist of 30 youtube videos to learn machine learning fundamentals from scratch "Machine Learning: Teach by Doing" is a solid choice to learn both theory and code. (1) Introduction to Machine Learning Teach by Doing: (2) What is Machine Learning? History of Machine Learning: (3) Types of ML Models: (4) 6 steps of any ML project: (5) Install Python and VSCode and run your first code: (6) Linear Classifiers Part 1: (7) Linear Classifiers Part 2: (8) Jupyter Notebook, Numpy and Scikit-Learn: (9) Running the Random Linear Classifier Algorithm in Python: (10) The oldest ML model - Perceptron: (11) Coding the Perceptron: (12) Perceptron Convergence Theorem: (13) Magic of features in Machine Learning: (14) One hot encoding: (15) Logistic Regression Part 1: (16) Cross Entropy Loss: (17) How gradient descent works: (18) Logistic Regression from scratch in Python: (19) Introduction to Regularization: (20) Implementing Regularization in Python: (21) Linear Regression Introduction: (22) Ordinary Least Squares step by step implementation: (23) Ridge regression fundamentals and intuition: (24) Regression recap for interviews: (25) Neural network architecture in 30 minutes: (26) Backpropagation intuition: (27) Neural network activation functions: (28) Momentum in gradient descent: (29) Hands on neural network training in Python: (30) Introduction to Convolutional Neural Networks (CNNs):

ℏεsam

109,764 views • 1 year ago

a playlist of 30 youtube videos to learn machine learning fundamentals from scratch if you're struggling on where to start learning ML, this list goes this "Machine Learning: Teach by Doing" is a solid choice to learn both theory and code. (1) Introduction to Machine Learning Teach by Doing: (2) What is Machine Learning? History of Machine Learning: (3) Types of ML Models: (4) 6 steps of any ML project: (5) Install Python and VSCode and run your first code: (6) Linear Classifiers Part 1: (7) Linear Classifiers Part 2: (8) Jupyter Notebook, Numpy and Scikit-Learn: (9) Running the Random Linear Classifier Algorithm in Python: (10) The oldest ML model - Perceptron: (11) Coding the Perceptron: (12) Perceptron Convergence Theorem: (13) Magic of features in Machine Learning: (14) One hot encoding: (15) Logistic Regression Part 1: (16) Cross Entropy Loss: (17) How gradient descent works: (18) Logistic Regression from scratch in Python: (19) Introduction to Regularization: (20) Implementing Regularization in Python: (21) Linear Regression Introduction: (22) Ordinary Least Squares step by step implementation: (23) Ridge regression fundamentals and intuition: (24) Regression recap for interviews: (25) Neural network architecture in 30 minutes: (26) Backpropagation intuition: (27) Neural network activation functions: (28) Momentum in gradient descent: (29) Hands on neural network training in Python: (30) Introduction to Convolutional Neural Networks (CNNs):
0:52

a playlist of 30 youtube videos to learn machine learning fundamentals from scratch if you're struggling on where to start learning ML, this list goes this "Machine Learning: Teach by Doing" is a solid choice to learn both theory and code. (1) Introduction to Machine Learning Teach by Doing: (2) What is Machine Learning? History of Machine Learning: (3) Types of ML Models: (4) 6 steps of any ML project: (5) Install Python and VSCode and run your first code: (6) Linear Classifiers Part 1: (7) Linear Classifiers Part 2: (8) Jupyter Notebook, Numpy and Scikit-Learn: (9) Running the Random Linear Classifier Algorithm in Python: (10) The oldest ML model - Perceptron: (11) Coding the Perceptron: (12) Perceptron Convergence Theorem: (13) Magic of features in Machine Learning: (14) One hot encoding: (15) Logistic Regression Part 1: (16) Cross Entropy Loss: (17) How gradient descent works: (18) Logistic Regression from scratch in Python: (19) Introduction to Regularization: (20) Implementing Regularization in Python: (21) Linear Regression Introduction: (22) Ordinary Least Squares step by step implementation: (23) Ridge regression fundamentals and intuition: (24) Regression recap for interviews: (25) Neural network architecture in 30 minutes: (26) Backpropagation intuition: (27) Neural network activation functions: (28) Momentum in gradient descent: (29) Hands on neural network training in Python: (30) Introduction to Convolutional Neural Networks (CNNs):

ℏεsam

117,748 views • 1 year ago

Start your data science journey with our 35-week online course. Learn Python, ML, AI, and more with real-world projects and expert mentors. Move from beginner to mid-level and secure your career!
0:33

Start your data science journey with our 35-week online course. Learn Python, ML, AI, and more with real-world projects and expert mentors. Move from beginner to mid-level and secure your career!

Moringa School

5,320,927 views • 2 years ago

Python 2 vs Python 3: If you’re interested in AI or backend development, Python 3 is a great place to start. Learn the language, build real projects, and use hackathons to turn your ideas into solutions. #Python #AI #BackendDevelopment #Hackathon #TechJourney
2:38

Python 2 vs Python 3: If you’re interested in AI or backend development, Python 3 is a great place to start. Learn the language, build real projects, and use hackathons to turn your ideas into solutions. #Python #AI #BackendDevelopment #Hackathon #TechJourney

zyontechacademy

42,700 views • 2 months ago

Download Python + Your First Program (Beginner Guide) #programming #programmer #code #coding #codingtiktok #codinglife #coders #python #pythonprogramming #it #tutorial #tech #techtok #fyp #foryou
4:44

Download Python + Your First Program (Beginner Guide) #programming #programmer #code #coding #codingtiktok #codinglife #coders #python #pythonprogramming #it #tutorial #tech #techtok #fyp #foryou

Tech Geezah

32,700 views • 8 months ago