Start with the fundamentals of Python programming, including variables, data types, control flow, loops, and functions.
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Learn about object-oriented programming concepts such as classes, objects, inheritance, and polymorphism.
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Understand the basics of data structures such as lists, dictionaries, tuples, and sets, as well as algorithms like sorting and searching.
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Scikit-learn Crash Course - Machine Learning Library for Python
Scikit-learn is a free software machine learning library for the Python programming language. Learn...
Data Analysis with Python Course - Numpy, Pandas, Data Visualization
Learn the basics of Python, Numpy, Pandas, Data Visualization, and Exploratory Data Analysis in this...
5.1 Flask
Learn Flask, a lightweight web application framework for Python.
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5.2 Django
Django is a high-level Python web framework that enables rapid development of secure and maintainable websites.
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Python Django Tutorial for Beginners
Python Django Tutorial for Beginners - Learn Django for a career in back-end development. This Djang...
Learn Flask for Python - Full Tutorial
Flask is a micro web framework written in Python. It is classified as a microframework because it do...
Learn how to automate repetitive tasks and write scripts to make your work easier and more efficient using libraries like Selenium and Beautiful Soup.
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Python Automation Tutorial โ How to Automate Tasks for Beginners [Full Course]
Learn how to use Python automation to perform common tasks. In this full course you will learn how t...
Python Scripting Tutorial for Beginners | Python Tutorial | Python Training | Edureka
๐ฅ Python Training (Use Code "๐๐๐๐๐๐๐๐๐") : https://www.edureka.co/python-scriptingThis "Python Scrip...
Learn the basics of machine learning with Python and libraries such as TensorFlow and Keras.
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Get started with data science using Python libraries such as Pandas, NumPy, and Scikit-learn.
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Understand the basics of DevOps, including containerization with Docker and container orchestration with Kubernetes.
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Learn about version control systems like Git and how to use them to manage your codebase.
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Learn about Python testing frameworks such as Pytest and unittest to write and run automated tests.
Prepare for interviews by revising the essential topics of Python programming.
PS: Remember, this is just a suggested plan feel free to adjust based on your own learning style and pace.
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