Python data mining quick start guide

#python #datascience #datamining #ml

9 tips to improve your code:

- Declare variables close to usage
- Functions do 1 thing
- Avoid long functions
- Avoid long lines
- Don't repeat code
- Use descriptive variable/function names
- Use few arguments
- Simplify conditions (return age >17;)
- Remove unused code

Without errors, No-one can become a good programmer.
Errors are the most important phase of learning to code.

Here are some of the amazing Websites to Learn Python from Beginning to Advanced. 👇👇

1. LearnPython
🔗 Playlist Link

2. W3Schools
🔗 Playlist Link

3. Khan Academy
🔗 Playlist Link

4. FreeCodeCamp
🔗 Playlist Link

5. Sololearn
🔗 Playlist Link

How To Code in Python 3
by Lisa Tagliaferri


📄 459 pages

🔗 Book link

Best python github Repositories very helpful for beginners -

1. scikit-learn : https://github.com/scikit-learn

2. Flask : https://github.com/pallets/flask

3. Keras : https://github.com/keras-team/keras

4. Sentry : https://github.com/getsentry/sentry

5. Django : https://github.com/django/django

6. Ansible : https://github.com/ansible/ansible

7. Tornado : https://github.com/tornadoweb/tornado

Data Science Projects With Python by Stephen Klosterman

#ebook #datascience #python #ml