Python

Summary:

Python Development is a highly in-demand and well-paying job in the tech industry.

If you're looking to become an excellent Python Developer, here's a roadmap that includes various online resources:

1. Python Basics:

Start with the fundamentals of Python programming, including variables, data types, control flow, loops, and functions.

1.1 https://lnkd.in/deZe7gxk

2. Object-Oriented Programming:

Learn about object-oriented programming concepts such as classes, objects, inheritance, and polymorphism.

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3. Data Structures and Algorithms:

Understand the basics of data structures such as lists, dictionaries, tuples, and sets, as well as algorithms like sorting and searching.

https://lnkd.in/dYEktQ6x

4. Python Libraries:

Familiarize yourself with popular Python libraries such as NumPy, Pandas, Matplotlib, and Scikit-learn for data manipulation, analysis, and visualization.

4.1 NumPy : https://lnkd.in/deKZNr7j

4.2 Pandas: https://lnkd.in/deKZNr7j

4.3 Matplotlib: https://lnkd.in/deKZNr7j

4.4 Scikit Learn: https://lnkd.in/dbDD7mgA

Web Development

5.1 Flask

Learn Flask, a lightweight web application framework for Python.

https://lnkd.in/dREx7PiA

5.2 Django

Django is a high-level Python web framework that enables rapid development of secure and maintainable websites.

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6. Database

Learn about database management systems like MySQL, SQLite, and PostgreSQL, and how to use them with Python.

6.1 https://lnkd.in/dr8tQMzG

6.2 https://lnkd.in/dYxHYR2T

7 Automation and Scripting:

Learn how to automate repetitive tasks and write scripts to make your work easier and more efficient using libraries like Selenium and Beautiful Soup.

7.1 https://lnkd.in/dBc7wEfp

7.2 https://lnkd.in/d-2u8Txz

8 Machine Learning:

Learn the basics of machine learning with Python and libraries such as TensorFlow and Keras.

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9 Data Science:

Get started with data science using Python libraries such as Pandas, NumPy, and Scikit-learn.

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10 DevOps:

Understand the basics of DevOps, including containerization with Docker and container orchestration with Kubernetes.

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11 Version Control:

Learn about version control systems like Git and how to use them to manage your codebase.

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12 Python Testing:

Learn about Python testing frameworks such as Pytest and unittest to write and run automated tests.

13 Python Quick revision for Interviews:

Prepare for interviews by revising the essential topics of Python programming.