Forwarded from Immersive Ai
Learning has never been more enjoyable—thanks to AI.
If you're curious to learn, eager to build, and ready to explore, everything you need is now in one app.
Just open Chrome.
Just start chatting with ChatGPT.
What an incredible time to be alive.
@ImmersiveAI
If you're curious to learn, eager to build, and ready to explore, everything you need is now in one app.
Just open Chrome.
Just start chatting with ChatGPT.
What an incredible time to be alive.
@ImmersiveAI
❤8
Forwarded from Emmersive Learning (Mehammed T.)
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
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
❤3👍1
Forwarded from Emmersive Learning (Mehammed T.)
Emmersive Learning
Master Python: The Python Tree 👇 | |── Basics | ├── Variables | ├── Data Types | | ├── Integers | | ├── Floats | | ├── Strings | | ├── Booleans | | └── None | | | ├── Operators | |…
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Learn with our Python Full course
8+ Hour.
Lear here : https://youtu.be/VZKNq5xHP-4?si=G2mn91vJPpV-USlD
@EmmersiveLearning
8+ Hour.
Lear here : https://youtu.be/VZKNq5xHP-4?si=G2mn91vJPpV-USlD
@EmmersiveLearning
👍5
Top algorithms to know.
Sorted by usefulness.
1. Binary search
2. KMP (string search, not call to action)
3. Quick Sort
4. Merge Sort
5. Fast Fourier Transform (FFT)
6. Depth-First Search (DFS)
7. Breadth-First Search (BFS)
8. Topological Sort
9. Lowest Common Ancestor (LCA)
10. A* Search
11. Dijkstra Shortest Path
12. Minimum Spanning Tree (Prim or Kruskal)
13. Binary Power
14. Knapsack Problem
15. Longest Common Subsequence (LCS)
16. Greatest Common Divisor (GCD)
Sorted by usefulness.
1. Binary search
2. KMP (string search, not call to action)
3. Quick Sort
4. Merge Sort
5. Fast Fourier Transform (FFT)
6. Depth-First Search (DFS)
7. Breadth-First Search (BFS)
8. Topological Sort
9. Lowest Common Ancestor (LCA)
10. A* Search
11. Dijkstra Shortest Path
12. Minimum Spanning Tree (Prim or Kruskal)
13. Binary Power
14. Knapsack Problem
15. Longest Common Subsequence (LCS)
16. Greatest Common Divisor (GCD)
❤4
A complete list of Data Structures to implement:
1. Linked List
2. Dynamic Array
3. Stack
4. Ring-buffer Queue
5. Deque
6. Binary Heap
7. Binomial Heap
8. HashMap with Open Addressing
9. HashMap with Separate Chaining
10. Binary Search Tree
11. AVL Tree
12. Red-Black Tree
13. B-Tree
14. Splay Tree
15. Treap
16. Segment Tree/Range Tree
17. Sparse Table
18. Heavy-Light Decomposition
19. Link-Cut Tree
20. Disjoint-Set Union (DSU)
21. Suffix Array
22. Suffix Tree
1. Linked List
2. Dynamic Array
3. Stack
4. Ring-buffer Queue
5. Deque
6. Binary Heap
7. Binomial Heap
8. HashMap with Open Addressing
9. HashMap with Separate Chaining
10. Binary Search Tree
11. AVL Tree
12. Red-Black Tree
13. B-Tree
14. Splay Tree
15. Treap
16. Segment Tree/Range Tree
17. Sparse Table
18. Heavy-Light Decomposition
19. Link-Cut Tree
20. Disjoint-Set Union (DSU)
21. Suffix Array
22. Suffix Tree
❤7
Forwarded from Muhammed Teshome
ለ ተማሪዎች፡ የ2018 ዓ.ም. የትምህርት ዘመንን በ'Easy Mode' እንዴት እንደምትጀመሩ!
በቅርቡ ትምህርት እንደምትጀምሩ ስለሚታወቅ፣ በቀሩት ጥቂት ቀናት ለራሳችሁ የአርቴፊሻል ኢንተለጀንስ (AI) የመማሪያ ስርዓት ብትገነቡ ዘንድሮ ምርጥ የትምህርት ጊዜ እንደሚኖራችሁ አያጠራጥርም!
የእኔ ሀሳብ:
1. AIን ለትምህርታችሁ እንዴት እንደምትጠቀሙ አጥኑ። AI በመማሪያ ዘርፋችሁ ላይ ምን ያህል አጋዥ እንደሆነ ለመረዳት ጥቂት ጥናት አድርጉ።
2. የAI መሳሪያዎችን አደራጁ። ከሚመቻችሁ የAI መሳሪያዎች፣ ለምሳሌ ChatGPT፣ Grok ወይም Gemini፣ አንዱን ምረጡ። ከዚያም ለእያንዳንዱ የትምህርት ኮርስ የተለየ ፕሮጀክት ወይም ፎልደር ፍጠሩ። በዚያ ፎልደር ውስጥ የመማሪያ መጽሐፉን በፒዲኤፍ (PDF)፣ የኮርሱን አጠቃላይ ይዘት እና የሚመቻችሁን ሌሎች መመሪያዎችን አካትቱ።
3. ከAI ጋር እንደ ጓደኛችሁ አውሩ። ስታጠኑ የAI መሳሪያውን እንደ ቅርብ ጓደኛችሁ አድርጋችሁ በመቁጠር እየተነጋገራችሁ ተማሩ። AI ኮርሱን በቀላሉ እንድትረዱና ሀሳቦችን በደንብ እንድትይዙ ይረዳችኋል፤ ነገር ግን የቤት ስራ፣ የክፍል ስራ፣ ፕሮጀክት ወይም ፈተና ለመስራት ብቻ አትጠቀሙት።
AI መማርን እጅግ በጣም ቀላል እና ምቹ ያደርገዋል።
AIን ለትምህርት እንዴት መጠቀም እንደሚቻል የበለጠ ለመረዳት፣ ይህንን ቪዲዮ ማየት ትችላላችሁ፡
https://youtu.be/TiYvF1nHpDk?si=Gz0zNI4gwr7hQF-e
በቅርቡ ትምህርት እንደምትጀምሩ ስለሚታወቅ፣ በቀሩት ጥቂት ቀናት ለራሳችሁ የአርቴፊሻል ኢንተለጀንስ (AI) የመማሪያ ስርዓት ብትገነቡ ዘንድሮ ምርጥ የትምህርት ጊዜ እንደሚኖራችሁ አያጠራጥርም!
የእኔ ሀሳብ:
1. AIን ለትምህርታችሁ እንዴት እንደምትጠቀሙ አጥኑ። AI በመማሪያ ዘርፋችሁ ላይ ምን ያህል አጋዥ እንደሆነ ለመረዳት ጥቂት ጥናት አድርጉ።
2. የAI መሳሪያዎችን አደራጁ። ከሚመቻችሁ የAI መሳሪያዎች፣ ለምሳሌ ChatGPT፣ Grok ወይም Gemini፣ አንዱን ምረጡ። ከዚያም ለእያንዳንዱ የትምህርት ኮርስ የተለየ ፕሮጀክት ወይም ፎልደር ፍጠሩ። በዚያ ፎልደር ውስጥ የመማሪያ መጽሐፉን በፒዲኤፍ (PDF)፣ የኮርሱን አጠቃላይ ይዘት እና የሚመቻችሁን ሌሎች መመሪያዎችን አካትቱ።
3. ከAI ጋር እንደ ጓደኛችሁ አውሩ። ስታጠኑ የAI መሳሪያውን እንደ ቅርብ ጓደኛችሁ አድርጋችሁ በመቁጠር እየተነጋገራችሁ ተማሩ። AI ኮርሱን በቀላሉ እንድትረዱና ሀሳቦችን በደንብ እንድትይዙ ይረዳችኋል፤ ነገር ግን የቤት ስራ፣ የክፍል ስራ፣ ፕሮጀክት ወይም ፈተና ለመስራት ብቻ አትጠቀሙት።
AI መማርን እጅግ በጣም ቀላል እና ምቹ ያደርገዋል።
AIን ለትምህርት እንዴት መጠቀም እንደሚቻል የበለጠ ለመረዳት፣ ይህንን ቪዲዮ ማየት ትችላላችሁ፡
https://youtu.be/TiYvF1nHpDk?si=Gz0zNI4gwr7hQF-e
YouTube
AI Tricks Every Student Should Know! | Ai ለተማሪዎች | AI ለ ትምህርት | Ai for Learning #ai #learning
Ready to supercharge your studies? Discover how AI can transform the way you learn! In this video, we explore the best AI tools and strategies for students, from personalized study plans and homework help to research, writing, and exam prep.
Learn how to…
Learn how to…
❤11
Forwarded from Muhammed Teshome
Just build something. Start now if you haven’t.
An app, a robot, a YouTube channel, a song.
It’ll change your life.
An app, a robot, a YouTube channel, a song.
It’ll change your life.
❤4
If you are new to programing, Start with Python.
it's easy than other languages.
We have a full course on Youtube:
8+ Hour.
Lear here : https://youtu.be/VZKNq5xHP-4?si=G2mn91vJPpV-USlD
it's easy than other languages.
We have a full course on Youtube:
8+ Hour.
Lear here : https://youtu.be/VZKNq5xHP-4?si=G2mn91vJPpV-USlD
❤5👍4
20 Backend Project Ideas🔥
🔹API for a Task Management System
🔹To-Do List API
🔹Blog Platform
🔹Markdown Note-taking App
🔹Online Code Compiler API
🔹E-commerce API
🔹URL Shortening Service
🔹Chat Application Backend
🔹Web Scraper CLI
🔹Online Bookstore
🔹Social Media API
🔹Music Streaming App
🔹Fitness Workout Tracker
🔹Authentication and Authorization Service
🔹File Upload and Management System
🔹Recipe Sharing Platform
🔹Event Booking System
🔹Expense Tracker API
🔹Weather Forecast Service
🔹Online Food Ordering System
🔹API for a Task Management System
🔹To-Do List API
🔹Blog Platform
🔹Markdown Note-taking App
🔹Online Code Compiler API
🔹E-commerce API
🔹URL Shortening Service
🔹Chat Application Backend
🔹Web Scraper CLI
🔹Online Bookstore
🔹Social Media API
🔹Music Streaming App
🔹Fitness Workout Tracker
🔹Authentication and Authorization Service
🔹File Upload and Management System
🔹Recipe Sharing Platform
🔹Event Booking System
🔹Expense Tracker API
🔹Weather Forecast Service
🔹Online Food Ordering System
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Forwarded from Muhammed Teshome
Nowadays, i love using google lens more often.
i Just made a video on it.
go watch it.
https://youtu.be/acTNu7mPpyA
i Just made a video on it.
go watch it.
https://youtu.be/acTNu7mPpyA
YouTube
How to use Google Lens | ጎግል ሌንስ እንዴት እንጠቀም ? | Best productivity tool #googlelens
How to use Google Lens? | Google's vision search engine
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Simmiral Videos :
- HTML Full Course: https://www.youtube.com/playlist?list=PLGeDL5FZ9nGb1E4qsTFWK0FqyuPZSFXAt
- CSS Full Course: https://www.youtube.…
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Simmiral Videos :
- HTML Full Course: https://www.youtube.com/playlist?list=PLGeDL5FZ9nGb1E4qsTFWK0FqyuPZSFXAt
- CSS Full Course: https://www.youtube.…
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Forwarded from Immersive Ai
New Video : 40 Chatgpt tricks and tips.
Use chatgpt as a pro.
https://youtu.be/fndSFh1Cbv4?si=3-Er2k-aOvjf69F4
Use chatgpt as a pro.
https://youtu.be/fndSFh1Cbv4?si=3-Er2k-aOvjf69F4
YouTube
40 ChatGPT Hacks You Need to Know in 2025 (Become a PRO!) | 40 የ Ai አጠቃቀሞች #ai #ኤአይ ኮርስ #ethiopia
Stop using ChatGPT the boring way!
Most people only type simple questions into ChatGPT… but it can do SO much more. 🚀
In this video, I’ll share 40 powerful ChatGPT tips, tricks, and hidden features that will save you hours of work, boost your creativity…
Most people only type simple questions into ChatGPT… but it can do SO much more. 🚀
In this video, I’ll share 40 powerful ChatGPT tips, tricks, and hidden features that will save you hours of work, boost your creativity…
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Forwarded from Immersive Ai
Alibaba Qwen is on 🔥
Last Night, They released more than 6 models and updates.
Watch them in video :
https://youtu.be/8gPeh8QZSRo?si=t4V7aqmxrM3N4lpv
Last Night, They released more than 6 models and updates.
Watch them in video :
https://youtu.be/8gPeh8QZSRo?si=t4V7aqmxrM3N4lpv
YouTube
የ አሊባባው Qwen 3 ከ 6 በላይ አዳድስ ነገሮች ለቀቀ! | Alibaba's Qwen releases more than 6+ updates #qwen #ai
Qwen has released more updates and new models.
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Simmiral AI Videos :
- AI Fluency Full Course: https://youtu.be/JFOstdBnnrw?si=M4Zj7BzthlnfMibT
- Python Full Course: https://youtu.be/VZKNq5xHP-4?si=G2mn91vJPpV…
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Simmiral AI Videos :
- AI Fluency Full Course: https://youtu.be/JFOstdBnnrw?si=M4Zj7BzthlnfMibT
- Python Full Course: https://youtu.be/VZKNq5xHP-4?si=G2mn91vJPpV…
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