کتابخانه های پایتون چه کاربردی دارند؟


#library #Python
🆔 @Python4all_pro

"همه الگوریتم های پیاده سازی شده در پایتون"

https://github.com/TheAlgorithms/Python

#Python
🆔 @Python4all_pro

یکی از بهترین یوتوبر برنامه نویسی (پایتون) به نظرم آریان هست، سطح علمی و تجربه به شدت بالا هم توی پایتون هم زبان‌های دیگه که به پایتون بسط میده، قدرت انتقال مفاهیمش خیلی قویه، تاپیک‌هایی رو میگه که هیچ‌ جای دیگه نمیگن، معماری کدهاش به شدت زیباست

https://youtube.com/@arjancodes?si=INVzPP3BBWT1xDtq


#Python
🆔 @Python4all_pro

معرفی چند سایت خوب برای یادگیری پایتون

🔹https://calmcode.io/

🔹https://superfastpython.com/

🔹https://realpython.com/

#Python
🆔 @Python4all_pro

Create web-based user interfaces with Python. The nice way

https://github.com/zauberzeug/nicegui



#Python
🆔 @Python4all_pro

Excel Basics for Data Analysis

‼️What you'll learn

Display working knowledge of Excel for Data Analysis.

Perform basic spreadsheet tasks including navigation, data entry, and using formulas.

Employ data quality techniques to import and clean data in Excel.

Analyze data in spreadsheets by using filter, sort, look-up functions, as well as pivot tables

📥https://imp.i384100.net/Qy9rYo

#علم_داده #اکسل
#DataScience
#Python #Free_course
🆔 @Python4all_pro

Python for Everybody Specialization

Learn to Program and Analyze Data with Python. Develop programs to gather, clean, analyze, and visualize data

Skills you'll gain:
Json
Xml
Python Programming
Database (DBMS)


https://imp.i384100.net/5gdQk2

#Python #Free_course
🆔 @Python4all_pro

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


#code #Python
🆔 @Python4all_pro

Gauge charts using Python


#code #Python
🆔 @Python4all_pro

Enter Chemical Formula to find Name



#code #Python
🆔 @Python4all_pro

Download youtube playlist using Python



#code #Python
🆔 @Python4all_pro

Free Data Science using Python

https://bit.ly/3zmbJDf


#Python #Free_course #Data_Science

🆔 @Python4all_pro

Generate Audio captcha using Python


#code #Python
🆔 @Python4all_pro

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