Master Python:

The Python Tree 👇
|
|── Basics
| ├── Variables
| ├── Data Types
| | ├── Integers
| | ├── Floats
| | ├── Strings
| | ├── Booleans
| | └── None
| |
| ├── Operators
| | ├── Arithmetic
| | ├── Comparison
| | ├── Logical
| | ├── Assignment
| | └── Identity
| |
| ├── Control Flow
| | ├── if Statements
| | ├── else Statements
| | ├── elif Statements
| | ├── while Loops
| | └── for Loops
| |
| ├── Functions
| | ├── Function Definition
| | ├── Parameters
| | ├── Return Statement
| | └── Lambda Functions
| |
| └── Built-in Functions
| ├── print()
| ├── input()
| ├── len()
| ├── range()
| └── type()
|
|── Data Structures
| ├── Lists
| | ├── Indexing and Slicing
| | ├── List Methods
| | └── List Comprehensions
| |
| ├── Tuples
| ├── Sets
| ├── Dictionaries
| | ├── Accessing and Modifying
| | ├── Dictionary Methods
| | └── Dictionary Comprehensions
| |
| └── Collections Module
| ├── Counter
| ├── defaultdict
| ├── OrderedDict
| ├── namedtuple
| └── deque
|
|── Object-Oriented Programming (OOP)
| ├── Classes and Objects
| ├── Attributes and Methods
| ├── Inheritance
| ├── Encapsulation
| └── Polymorphism
|
|── File Handling
| ├── Reading and Writing Files
| ├── Working with Text Files
| └── Working with CSV and JSON
|
|── Exception Handling
| ├── try...except Blocks
| ├── else and finally Clauses
| └── Custom Exceptions
|
|── Modules and Packages
| ├── Creating Modules
| ├── Importing Modules
| ├── Standard Library
| └── Creating Packages
|
|── Virtual Environments
| ├── venv
| ├── virtualenv
| └── pipenv
|
|── Regular Expressions
|
|── Functional Programming
| ├── Map, Filter, and Reduce
| ├── Lambda Functions
| └── List Comprehensions
|
|── Decorators
|
|── Generators
|
|── Threading and Multiprocessing
|
|── Working with APIs
| ├── HTTP Requests
| ├── JSON Parsing
| └── RESTful APIs
|
|── Web Development
| ├── Flask
| ├── Django
| └── FastAPI
|
|── Data Science and Analysis
| ├── NumPy
| ├── Pandas
| └── Matplotlib
|
|── Machine Learning
| ├── Scikit-Learn
| ├── TensorFlow
| └── PyTorch
|
|── Database Interaction
| ├── SQLite
| ├── MySQL
| └── PostgreSQL
|
|── Testing
| ├── Unit Testing (unittest)
| ├── Test Automation (pytest)
| └── Mocking
|
|── Version Control (Git)
|
|── GUI Development
| ├── Tkinter
| └── PyQt
|
|── Networking
| ├── Socket Programming
| └── Requests Library
|
|── Concurrency and Parallelism
| ├── Asyncio
| └── Multiprocessing
|
|── Debugging and Profiling
|
|── Best Practices
| ├── PEP 8
| ├── Docstrings (PEP 257)
| └── Code Reviews
|
|── Pythonic Idioms
|
|── Python Web Frameworks
| ├── Flask
| ├── Django
| └── FastAPI
|
|── Python in the Cloud
| ├── AWS Lambda
| ├── Google Cloud Functions
| └── Azure Functions
|
|── Data Serialization
| ├── JSON
| └── Pickle
|
|── Python in IoT
|
|── Jupyter Notebooks
|
|── Data Visualization
| ├── Matplotlib
| ├── Seaborn
| └── Plotly
|
|── Geographic Information System (GIS) with Python
|
|── Game Development with Python
| ├── Pygame
| └── Godot Engine
|
|── Python Community and Resources
|
|____________ END __________________

@EmmersiveLearning

well, ክረምት አይደል ?.... እየተማራችሁ ነዋ ?.... እስኪ የሰራናቸውን ቭድዮዎች እናስከልማችሁ!

For new Devs.....👇

አዲስ ለተቀላቀሉን ቤተሰቦቻችን በዚህ ቻናል ላይ ከሚተላለፉ ትምህርቶች ባሻገር በ ዩቱብ ቻናላችን ላይ የተለያዩ ሙሉ ሙሉ ኮርሶችን ስላዘጋጀን ሄዳችሁ መማር ትችላላችሁ !

እንዲያመቻችሁ የ ፕሌይሊስት ሊንክ አስቀምጠንላችኋል! 👇

እንኳን ደህና መጣችሁ!❤️
______________

1. ፎቶሾብ / ግራፊክስ ዲዛይን ሲሪይስ ፡
https://www.youtube.com/playlist?list=PLGeDL5FZ9nGaXYIl8xhvyVzbhzMyK4nxc

2. ካንቫ /ግራፊክስ ዲዛይን ሲሪየስ ፡
https://www.youtube.com/playlist?list=PLGeDL5FZ9nGbMkWyKCHP4ypL9qaC7b5XM

3. ማይክሮሶፍት ኢክሴል ፡
https://www.youtube.com/playlist?list=PLGeDL5FZ9nGZPE18Mju2YnkDYkQXKzOGF

4 . ፕሪሚየር ፕሮ / ቪድዮ ኢዲቲንግ
https://www.youtube.com/playlist?list=PLGeDL5FZ9nGbATwP9QCvMk5uFg2fBHT1T

5. HTML ሙሉ ኮርስ
https://www.youtube.com/playlist?list=PLGeDL5FZ9nGb1E4qsTFWK0FqyuPZSFXAt

6. HTML ሙሉ ኮርስ
https://www.youtube.com/playlist?list=PLGeDL5FZ9nGb1E4qsTFWK0FqyuPZSFXAt

7. CSS ሙሉ ኮርስ
https://www.youtube.com/playlist?list=PLGeDL5FZ9nGa2SuZXkemZlsSg3BYkgJDc

8. JavaScript ሙሉ ኮርስ
https://www.youtube.com/playlist?list=PLGeDL5FZ9nGbBB6RXURr1ScXv3xwtJu9R

9. የለተያዩ ቱሎች እና ጠቃሚ ዌብሳይቶች ፡
https://www.youtube.com/playlist?list=PLGeDL5FZ9nGbOZFrDKin-PVPxIb6vySdX

10. የተለያዩ የ አርቲፊሻል ኢንተሊጀንሰ ቱሎች (Ai Tools) እና አጠቃቀማቸው ፡
https://www.youtube.com/playlist?list=PLGeDL5FZ9nGaFYYVTObFeT3NzO2TyoAfv

@EmmersiveLearning

The roadmap to learning HTML

1. Understanding the full form of HTML
2. Anatomy of tags
3. HTML5 boilerplate
4. Heading tags
5. ul, ol, li, tags
6. img, span tag
7. Table tags for layout
8. Form tags
9. Some more semantic elements
10. Basic attributes


if you are new, Start your web dev Journey

https://www.youtube.com/watch?v=kDE31AmaIAM

The roadmap to learning CSS

1. Inline, internal and external CSS
2. Selectors
3. Background
4. Color
5. Box model
6. Height and width
7. Margin and padding
8. Border
9. Positioning
10. display
11. Layouts
12. Grid and Flex
13. Alignment
14. Fonts
15. Animation
16. Pseudo-classes
17. Media query

https://www.youtube.com/watch?v=XKNSgDL3xgM

The roadmap to learning JavaScript

1. Print statement
2. Data types and variables
3. Basic operators
4. Logical operators
5. Comparisons
6. Loops and statements
7. alert()
8. prompt()
9.  Arrays
10. Objects
11. Functions
12. Arrow function
13. Array methods
14. Hoisting
15. Closures
16. Callbacks
17. Promises
18. Async & Await
19. Currying
20. And other ES6 feature



https://www.youtube.com/watch?v=jF5oxeeuu6E

Roadmap to Become an AI Engineer:

1. Foundation in Mathematics
Master linear algebra, calculus, probability, and statistics.
Essential for understanding AI algorithms.

2. Programming Skills
Proficiency in Python is a must.
Learn libraries: NumPy, pandas, TensorFlow, PyTorch.

3. Understanding Machine Learning
Start with basic ML concepts: supervised, unsupervised, reinforcement learning.
Work through online courses: Coursera, edX, Udacity.

4. Deep Learning Fundamentals
Study neural networks, CNNs, RNNs, GANs.
Implement models from scratch and using frameworks.

5. Data Handling Skills
Gain experience in data preprocessing, augmentation, and visualization.
Tools: SQL, Excel, matplotlib, seaborn.

6. Projects and Practical Experience
Build projects: image classification, natural language processing, recommendation systems.
Contribute to open-source projects and participate in Kaggle competitions.

7. Specialize in a Domain
Choose a niche: NLP, computer vision, robotics, etc.
Focus on advanced topics and state-of-the-art research.

8. Learn About AI Ethics
Study ethical implications and biases in AI.
Ensure responsible AI development and deployment.

9. Networking and Community Engagement
Join AI communities: Reddit, Stack Overflow, LinkedIn groups.
Attend meetups, webinars, and conferences.

10. Stay Updated with Industry Trends
Follow AI research papers, blogs, podcasts.
Keep track of advancements in AI technology and tools.

11. Certifications and Advanced Degrees
Consider certifications from reputable institutions.
Advanced degrees (MS/PhD) for research roles.

12. Prepare for Interviews
Practice coding problems, system design, and ML case studies.
Mock interviews and resume optimization.

@MuhibAi

Freelance and remote work sites.

We need Urgent Subscriber 😊

Javanoscript animation libraries:

✅ GSAP

✅ anime. js

✅ three. js

✅ Lottie

✅ Velocity. js

✅ p5. js

✅ mo. js

✅ ScrollMagic

✅ paper .js

✅ EaselJS

✅ Vivus

✅ TWEEN .js

✅ D3 .js

✅ Rive

✅ Phaser .js

✅ Bonsai

✅ Kute

✅ Shifty

✅ QuoJS

Add more 👇

@EmmersiveLearning

14 Sites to host your backend code for free 👇

💻 Google Cloud Functions
☁️ Cloudflare Workers
🚀 Netlify Functions
🌍 Planet Scale (DB)
🔧 AWS Lambda
🌩 Stormkit .io
🐘 Supabase
📱 Appwrite
🔄 Cyclic .sh
🔥 Firebase
🎨 Render
🚀 Vercel
🐞 Fly .io
🎮 Glitch

@EmmersiveLearning

How do you handle imposter syndrome in coding and in tech in General ?

Seniors,..... Share Your experience for newbies here

How To Host Your Full-Stack App For FREE

Front-end:
→Netlify
→Render
→Github pages
→Firebase Hosting

Back-end:
→Fly. io
→Vercel
→Appwrite
→Supabase
→Netlify Functions
→Google Cloud Functions
→Cloudflare Workers

Database:
→Mongo Atlas
→Firebase
→FaunaDB
→DynamoDB

@EmmersiveLearning

of...not reaching AGI 😊😂

was your pc healthy this night ?😊😳

This is literally the simplest framework to make money online.


Anyone can do this shit.

1. Learn a skill

2. Build a personal brand

3. Sell the skill as a service

Literally that simple.

Please just try it.

@EmmersiveLearning