Skip to main content

A library for educational content and interactive learning

Project description

Basilearn 📚

Basilearn is a Python project for learning programming concepts interactively. It provides a hands-on approach to mastering basic Python topics like variables, data types, and operators.

🚀 How to Use

Clone or download the project:

git clone https://github.com/barbara99/basilearn.git

Navigate to the project folder:

cd basilearn

Open and run the main.py file to start learning:

python main.py

📖 Features

  • Interactive Lessons: Learn Python basics step by step.
  • Real-time Feedback: Get immediate results as you work through exercises.
  • Offline Usable: Perfect for offline learning without requiring an internet connection.

🚧 Roadmap(Next Steps)

  • Add more lessons on Python topics
  • Build the framework into a full Python package for easy installation via pip.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

basilearn-0.1.20.tar.gz (2.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

basilearn-0.1.20-py3-none-any.whl (2.5 kB view details)

Uploaded Python 3

File details

Details for the file basilearn-0.1.20.tar.gz.

File metadata

  • Download URL: basilearn-0.1.20.tar.gz
  • Upload date:
  • Size: 2.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.12.7

File hashes

Hashes for basilearn-0.1.20.tar.gz
Algorithm Hash digest
SHA256 2ed27cd35fdc883f542853c28369e47d4a0d2990a1233cc4910f1745c8085865
MD5 d41e47a71288818778a2986b7ad1635e
BLAKE2b-256 807c8e7016750bbcbae361c30de9e420bd0543493c493498ef291a31279f757a

See more details on using hashes here.

File details

Details for the file basilearn-0.1.20-py3-none-any.whl.

File metadata

  • Download URL: basilearn-0.1.20-py3-none-any.whl
  • Upload date:
  • Size: 2.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.12.7

File hashes

Hashes for basilearn-0.1.20-py3-none-any.whl
Algorithm Hash digest
SHA256 845d8011b01d3f9297c36d9349a047da8150afdcb97b3415afed9799856938fe
MD5 128548313bdffb5843c77cbd00277be8
BLAKE2b-256 36bdf7b86c1b986ec66151895e49c96fa08add645cea963c3c137dbbb7136fb9

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page