کتابخانه پایتون که قابلیت‌های Generative AI را به pandas اضافه می‌کند

معرفی PandasAI: فریم های داده پیچیده را تجزیه و تحلیل کنید و تصویرسازی ها را فقط با استفاده از زبان طبیعی ترسیم کنید

With Pandas AI you can:

→ Clean the Data
→ Impute missing values
→ Generate New features
→ Analyze and manipulate the data

Not just that you can also ask it to plot the charts

توضیحات بیشتر:
https://github.com/Sinaptik-AI/pandas-ai


#library #Python
🆔 @Python4all_pro

Find Weather information using Python


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Gauge charts using Python


#code #Python
🆔 @Python4all_pro

Enter Chemical Formula to find Name



#code #Python
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Download youtube playlist using Python



#code #Python
🆔 @Python4all_pro

Free Data Science using Python

https://bit.ly/3zmbJDf


#Python #Free_course #Data_Science

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Generate Audio captcha using Python


#code #Python
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Text wrapping using Python Libraries



#code #Python
🆔 @Python4all_pro

مجموعه چیت شیت های کاربردی

1. Python: https://t.co/piKNCap4OM
2. Pandas : https://t.co/khYH8blvbp
3. NumPy: https://t.co/bLQJ7QwpLJ
4. Matplotlib: https://t.co/FetNAcfbNs
5. Seaborn: https://t.co/M5ATDFl74d
6. Scikit-learn? https://t.co/3G7xEehIWC
7. TensorFlow: https://t.co/YEpQ9XO8le
8. Keras: https://t.co/3f4oKzUkkz
9. PyTorch: https://t.co/EwvqWF0gtN
10. SQL: https://t.co/qkePCfAgdD
11. R: https://t.co/BHhM7z6YE5
12. Git: https://t.co/tn4BdsdyJP
13. AWS https://t.co/ZQ1JckpXtM
14. Azure https://t.co/CM3ORVWR9s
15. Google Cloud Platform: https://t.co/q1eRcWJ5kH
16. Dockr : https://t.co/2ncSV6K2gl
17. Kubernetes https://t.co/mjo3mwcR5F
18. Linux Command Line: https://t.co/vKmygIJ68B
19. Jupyter Notebook https://t.co/9Bet0esetC
20. Data Wrangling:https://t.co/0sexNfthZG
21. Data Visualization: https://t.co/hKWpqsTvvt



#cheat_sheet #Python #library

🆔 @Python4all_pro

Check Battery status using Python



#code #Python
🆔 @Python4all_pro

Master Python programming in 15 days with Free Resources 👇

Days 1-3: Introduction to Python
- Day 1: Start by installing Python on your computer.
- Day 2: Learn the basic syntax and data types in Python (variables, numbers, strings).
- Day 3: Explore Python's built-in functions and operators.

Days 4-6: Control Structures
- Day 4: Understand conditional statements (if, elif, else).
- Day 5: Learn about loops (for and while) and iterators.
- Day 6: Work on small projects to practice using conditionals and loops.

Days 7-9: Data Structures
- Day 7: Learn about lists and how to manipulate them.
- Day 8: Explore dictionaries and sets.
- Day 9: Understand tuples and lists comprehensions.

Days 10-12: Functions and Modules
- Day 10: Learn how to define functions in Python.
- Day 11: Understand scope and global vs. local variables.
- Day 12: Explore Python's module system and create your own modules.

Days 13-15: Intermediate Concepts
- Day 13: Work with file handling and I/O operations.
- Day 14: Learn about exceptions and error handling.
- Day 15: Explore more advanced topics like object-oriented programming and libraries such as NumPy, pandas, and Matplotlib.

FREE RESOURCES TO LEARN PYTHON 👇

Microsoft course for Python: https://learn.microsoft.com/en-us/training/paths/beginner-python/

Harvard course for Python: http://cs50.harvard.edu/python/2022/

Freecodecamp Python course with certificate: https://www.freecodecamp.org/learn/data-analysis-with-python/#data-analysis-with-python-course



#code #Python
🆔 @Python4all_pro

Build a Business Analytics Dashboard  Website using Python and MySQL



https://morioh.com/p/4dc41fee9160?f=5c21fb01c16e2556b555ab32

#python #mysql

🆔 @Python4all_pro

تبدیل متن به مقادیر عددی در پایتون

Numerizer

$ pip install numerizer

>>> from numerizer import numerize
>>> numerize('forty two')
'42'
>>> numerize('forty-two')
'42'
>>> numerize('four hundred and sixty two')
'462'
>>> numerize('one fifty')
'150'
>>> numerize('twelve hundred')
'1200'
>>> numerize('twenty one thousand four hundred and seventy three')
'21473'
>>> numerize('one million two hundred and fifty thousand and seven')
'1250007'
>>> numerize('one billion and one')
'1000000001'
>>> numerize('nine and three quarters')
'9.75'
>>> numerize('platform nine and three quarters')
'platform 9.75'

#code #Python
🆔 @Python4all_pro

Desktop Notification with Python


#code #Python
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🎵 UVR5 UI 🎵

The perfect Python tool to remove voice from audio using the user-friendly Gradio UI.

👉 This project is based on python-audio-separator (CLI version of UVR5).



▪Github
▪Colab


#code #Python
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Calendar month using Python



#code #Python
🆔 @Python4all_pro

21 پروژه پایتون از سطح مبتدی تا پیشرفته

https://morioh.com/p/bab182ed697a?f=5c21fb01c16e2556b555ab32



#پروژه #Python
🆔 @Python4all_pro

⌨️ Useful Python Modules



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365 Days Python Challenge https://bit.ly/3Rr3OrM




#پروژه #Python
🆔 @Python4all_pro