#3 Everyday Python: Your go-to resource for everyday Python
https://everyday-python.streamlit.app

#3 Everyday Python: Your go-to resource for everyday Python

#3 of 101-Awesome Streamlit Apps by Tushar Aggarwal

https://everyday-python.streamlit.app/


Before we dive into the exciting world of Python, let’s take a moment to appreciate the wealth of knowledge and expertise we all bring to the table. Each of us has a unique perspective and set of skills that can enrich our collective learning experience.

So, let’s start off by inviting you to contribute your Python expertise. Whether it’s through sharing interview questions, offering tips and tricks, or simply sharing your experiences, your contribution is invaluable and greatly appreciated.

Now, let’s embark on this Python journey together, where we’ll explore the depths of the language, unravel its mysteries, and empower each other to become better programmers.

Features

  • Cheat Sheets: Explore concise and handy Python cheat sheets covering various topics, from basic syntax to advanced concepts.
  • Pro Python Tips: Discover expert tips and tricks to enhance your Python coding skills and efficiency.
  • Interview Questions: Prepare for Python interviews with a curated collection of frequently asked questions and their solutions.
  • Python One-liners: Delve into elegant and concise Python one-liners to accomplish tasks efficiently.
  • Python Data Structures: Learn about fundamental Python data structures such as lists, dictionaries, sets, and tuples.

Pro Python?Tips

Discover expert tips and tricks to enhance your Python coding skills and productivity. These pro tips are curated to provide insights into best practices, optimization techniques, and lesser-known features of the Python language. Whether you’re a seasoned developer or a beginner, these tips will help you write cleaner, more efficient code.

https://everyday-python.streamlit.app/

Interview Questions (Upcoming)

Prepare for Python interviews with a curated collection of frequently asked questions and their solutions. These interview questions cover a wide range of topics, including data structures, algorithms, object-oriented programming, and more. By familiarizing yourself with these questions and solutions, you’ll be better equipped to tackle technical interviews with confidence.

Python One-liners

https://everyday-python.streamlit.app/

Delve into elegant and concise Python one-liners to accomplish common programming tasks efficiently. These one-liners demonstrate the power and flexibility of Python’s syntax, allowing you to perform complex operations in a single line of code. Whether you’re parsing data, manipulating strings, or working with collections, these one-liners will help you write more expressive and compact code.

Python Data Structures(Upcoming)

Learn about fundamental Python data structures such as lists, dictionaries, sets, and tuples. These data structures are essential building blocks for any Python program, enabling you to store, organize, and manipulate data effectively. Each data structure is accompanied by examples and explanations to help you understand its usage and benefits.

https://everyday-python.streamlit.app/

Contributing

Github Repo for contributions https://github.com/tushar2704/Everyday_Python

We welcome contributions from the community to enhance the content and features of Everyday Python Sheets. Whether it’s adding new cheat sheets, sharing valuable tips, or suggesting improvements, your contributions are highly appreciated. To contribute, follow these steps:

  1. Fork the repository.
  2. Create your feature branch: git checkout -b feature/new-feature.
  3. Commit your changes: git commit -am 'Add some feature'.
  4. Push to the branch: git push origin feature/new-feature.
  5. Submit a pull request.


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Brandon Mimms

Entrepreneur; Co-Founder, CSO at MentalHealth.com ??

8 个月

Informative post, Tushar! Thanks for sharing!

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