Python Courses & Resources
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Master Python with step-by-step courses – from basics to advanced projects and practical applications.
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πŸ”… Python: Decorators

πŸ“ Learn how to use decorators to add functionality to your Python projects.

πŸ“‹ Topics: #Python
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πŸ”… Learning Python

πŸ“ Get started with Python, the popular and highly-readable object-oriented language.

πŸ“‹ Topics: #Python #interview #coding #programming
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πŸ”… Practice It: Python Data Structures

πŸ“ Brush up on your Python data structure skills and learn some new ones in this hands-on course.

πŸ“‹ Topics: #DataStructures, #Python
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Data scientists are in high demand right now: there's just too much data to analyze.

In this course, Tatev and Vae teach #Python for #DataScience.

You'll be doing projects and exploring EDA, A/B testing, BI, and more.

https://t.me/Python53 🌟
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Design patterns are proven solutions to common problems in development. If you've ever found yourself constantly writing the same thing when creating objects or struggling with managing different types of objects, then the factory pattern might be exactly what you need.

In this tutorial:
https://www.freecodecamp.org/news/how-to-use-the-factory-pattern-in-python-a-practical-guide/

you'll learn what a factory is, why it's useful, and how to implement it in #Python. We'll gather practical examples that will show when and how to apply this pattern in real tasks.

The code can be found on #GitHub
https://github.com/balapriyac/python-basics/tree/main/design-patterns/factory

https://t.me/CodeProgrammer
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Ex_Files_Python_for_Data_Science_Tips.zip
4.8 MB
πŸ”… Python for Data Science Tips, Tricks, and Techniques

πŸ“‹ Topics: #DataScience, #Python

https://t.me/Python53
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πŸ”… Deep Learning: Image Recognition

πŸ“ Learn how to design, build, and deploy a deep neural network to serve as an image recognition system.

πŸ“‹ Topics: #ImageRecognition, @DeepLearning, #ComputerVision #python

https://t.me/Python53
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πŸ”… Machine Learning with Python: k-Means Clustering

πŸ“ Learn the basics of k-means clustering, one of the most popular unsupervised machine learning approaches.

πŸ“‹ Topics: #kmeans #clustering, #MachineLearning, #Python

https://t.me/Python53 🌷
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πŸ”… Deep Learning with Python: Convolutional Neural Networks

πŸ“ Gain hands-on experience building, training, and evaluating convolutional neural networks (CNNs) using Python for image classification, object detection, and segmentation.

πŸ“‹ Topics: #CNN, #DeepLearning, #Python
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Python Tip: Operator Overloading

This is a very important concept in Python.

Have you ever wondered how #Python understands what the + operator means? For numbers, it's addition; for strings, it's concatenation; for lists, it's union. This is operator overloading in action.

Operator overloading means defining special behavior for operators (+, -, *, ==, etc.) in your user-defined classes. You determine how these operators should work with your objects.
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πŸ‘‰ https://t.me/Python53
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πŸ”… Getting Started With Celery in Flask Apps

#Flask #python #Celery

https://t.me/Python53
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πŸ”… Level Up: Python

πŸ“ Want to test your Python skills? These concise, self-contained challenges let you stretch your brain and test your talents.

πŸ“‹ Topics: #Python
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➑https://t.me/python53
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πŸ”… Hands-On Introduction: Python

πŸ“ Explore the fundamental skills you need to know as a coder to take your knowledge of Python to the next level.

πŸ“‹ Topics: #Python
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