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8th June | ๐ŸPython Free Udemy Coupons Added
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Barcode creation using Python
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0๏ธโƒฃ Python
1๏ธโƒฃ Data Science
2๏ธโƒฃ Machine Learning
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๐Ÿ”ฐ Python for Everything

Python Resources: t.me/pythonresourcestp
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pythonSTierConfirmed ๐Ÿ˜น๐Ÿ˜น
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Master Python:

The Python Tree ๐Ÿ‘‡
|
|โ”€โ”€ Basics
| โ”œโ”€โ”€ Variables
| โ”œโ”€โ”€ Data Types
| | โ”œโ”€โ”€ Integers
| | โ”œโ”€โ”€ Floats
| | โ”œโ”€โ”€ Strings
| | โ”œโ”€โ”€ Booleans
| | โ””โ”€โ”€ None
| |
| โ”œโ”€โ”€ Operators
| | โ”œโ”€โ”€ Arithmetic
| | โ”œโ”€โ”€ Comparison
| | โ”œโ”€โ”€ Logical
| | โ”œโ”€โ”€ Assignment
| | โ””โ”€โ”€ Identity
| |
| โ”œโ”€โ”€ Control Flow
| | โ”œโ”€โ”€ if Statements
| | โ”œโ”€โ”€ else Statements
| | โ”œโ”€โ”€ elif Statements
| | โ”œโ”€โ”€ while Loops
| | โ””โ”€โ”€ for Loops
| |
| โ”œโ”€โ”€ Functions
| | โ”œโ”€โ”€ Function Definition
| | โ”œโ”€โ”€ Parameters
| | โ”œโ”€โ”€ Return Statement
| | โ””โ”€โ”€ Lambda Functions
| |
| โ””โ”€โ”€ Built-in Functions
| โ”œโ”€โ”€ print()
| โ”œโ”€โ”€ input()
| โ”œโ”€โ”€ len()
| โ”œโ”€โ”€ range()
| โ””โ”€โ”€ type()
|
|โ”€โ”€ Data Structures
| โ”œโ”€โ”€ Lists
| | โ”œโ”€โ”€ Indexing and Slicing
| | โ”œโ”€โ”€ List Methods
| | โ””โ”€โ”€ List Comprehensions
| |
| โ”œโ”€โ”€ Tuples
| โ”œโ”€โ”€ Sets
| โ”œโ”€โ”€ Dictionaries
| | โ”œโ”€โ”€ Accessing and Modifying
| | โ”œโ”€โ”€ Dictionary Methods
| | โ””โ”€โ”€ Dictionary Comprehensions
| |
| โ””โ”€โ”€ Collections Module
| โ”œโ”€โ”€ Counter
| โ”œโ”€โ”€ defaultdict
| โ”œโ”€โ”€ OrderedDict
| โ”œโ”€โ”€ namedtuple
| โ””โ”€โ”€ deque
|
|โ”€โ”€ Object-Oriented Programming (OOP)
| โ”œโ”€โ”€ Classes and Objects
| โ”œโ”€โ”€ Attributes and Methods
| โ”œโ”€โ”€ Inheritance
| โ”œโ”€โ”€ Encapsulation
| โ””โ”€โ”€ Polymorphism
|
|โ”€โ”€ File Handling
| โ”œโ”€โ”€ Reading and Writing Files
| โ”œโ”€โ”€ Working with Text Files
| โ””โ”€โ”€ Working with CSV and JSON
|
|โ”€โ”€ Exception Handling
| โ”œโ”€โ”€ try...except Blocks
| โ”œโ”€โ”€ else and finally Clauses
| โ””โ”€โ”€ Custom Exceptions
|
|โ”€โ”€ Modules and Packages
| โ”œโ”€โ”€ Creating Modules
| โ”œโ”€โ”€ Importing Modules
| โ”œโ”€โ”€ Standard Library
| โ””โ”€โ”€ Creating Packages
|
|โ”€โ”€ Virtual Environments
| โ”œโ”€โ”€ venv
| โ”œโ”€โ”€ virtualenv
| โ””โ”€โ”€ pipenv
|
|โ”€โ”€ Regular Expressions
|
|โ”€โ”€ Functional Programming
| โ”œโ”€โ”€ Map, Filter, and Reduce
| โ”œโ”€โ”€ Lambda Functions
| โ””โ”€โ”€ List Comprehensions
|
|โ”€โ”€ Decorators
|
|โ”€โ”€ Generators
|
|โ”€โ”€ Threading and Multiprocessing
|
|โ”€โ”€ Working with APIs
| โ”œโ”€โ”€ HTTP Requests
| โ”œโ”€โ”€ JSON Parsing
| โ””โ”€โ”€ RESTful APIs
|
|โ”€โ”€ Web Development
| โ”œโ”€โ”€ Flask
| โ”œโ”€โ”€ Django
| โ””โ”€โ”€ FastAPI
|
|โ”€โ”€ Data Science and Analysis
| โ”œโ”€โ”€ NumPy
| โ”œโ”€โ”€ Pandas
| โ””โ”€โ”€ Matplotlib
|
|โ”€โ”€ Machine Learning
| โ”œโ”€โ”€ Scikit-Learn
| โ”œโ”€โ”€ TensorFlow
| โ””โ”€โ”€ PyTorch
|
|โ”€โ”€ Database Interaction
| โ”œโ”€โ”€ SQLite
| โ”œโ”€โ”€ MySQL
| โ””โ”€โ”€ PostgreSQL
|
|โ”€โ”€ Testing
| โ”œโ”€โ”€ Unit Testing (unittest)
| โ”œโ”€โ”€ Test Automation (pytest)
| โ””โ”€โ”€ Mocking
|
|โ”€โ”€ Version Control (Git)
|
|โ”€โ”€ GUI Development
| โ”œโ”€โ”€ Tkinter
| โ””โ”€โ”€ PyQt
|
|โ”€โ”€ Networking
| โ”œโ”€โ”€ Socket Programming
| โ””โ”€โ”€ Requests Library
|
|โ”€โ”€ Concurrency and Parallelism
| โ”œโ”€โ”€ Asyncio
| โ””โ”€โ”€ Multiprocessing
|
|โ”€โ”€ Debugging and Profiling
|
|โ”€โ”€ Best Practices
| โ”œโ”€โ”€ PEP 8
| โ”œโ”€โ”€ Docstrings (PEP 257)
| โ””โ”€โ”€ Code Reviews
|
|โ”€โ”€ Pythonic Idioms
|
|โ”€โ”€ Python Web Frameworks
| โ”œโ”€โ”€ Flask
| โ”œโ”€โ”€ Django
| โ””โ”€โ”€ FastAPI
|
|โ”€โ”€ Python in the Cloud
| โ”œโ”€โ”€ AWS Lambda
| โ”œโ”€โ”€ Google Cloud Functions
| โ””โ”€โ”€ Azure Functions
|
|โ”€โ”€ Data Serialization
| โ”œโ”€โ”€ JSON
| โ””โ”€โ”€ Pickle
|
|โ”€โ”€ Python in IoT
|
|โ”€โ”€ Jupyter Notebooks
|
|โ”€โ”€ Data Visualization
| โ”œโ”€โ”€ Matplotlib
| โ”œโ”€โ”€ Seaborn
| โ””โ”€โ”€ Plotly
|
|โ”€โ”€ Geographic Information System (GIS) with Python
|
|โ”€โ”€ Game Development with Python
| โ”œโ”€โ”€ Pygame
| โ””โ”€โ”€ Godot Engine
|
|โ”€โ”€ Python Community and Resources
|
|__ END ____


t.me/pythonresourcestp
โค11๐Ÿ‘1
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We may have a plan to learn. We may have a plan to create a new product. We may have a plan to achieve a well-paying remote job.

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Have a good working day.
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