پایتون ( Machine Learning | Data Science )

🔖چیت شیت شماره ۱۹ پایتون: راهنمای نهایی برای مبتدیان و متخصصان

🔻با این چیت شیت جامع (برای همه سطوح مهارت)، بر پایتون مسلط شوید. این چیت شیت جامع پایتون منبع عالی برای مبتدیان و توسعه دهندگان با تجربه است.
این cheatsheet با پوشش طیف گسترده ای از موضوعات، از نحو و ساختار داده تا مفاهیم برنامه نویسی پیشرفته، همه چیزهایی را دارد که برای نوشتن کد پایتون به طور موثر نیاز دارید.

https://morioh.com/a/3bd2c99e69d6/python-cheatsheet-the-ultimate-guide-for-beginners-and-experts

#cheat_sheet

🆔 @Python4all_pro

5.3K viewsedited 05:51

🖥 Python cheat sheet, which contains small scripts for solving everyday problems

By the way, here are some of them:

✔️ add the sample.txt file to the .tar.gz archive:

import tarfile
with tarfile.open('sample.tar.gz', 'w:gz') as tar:
tar.add('sample.txt')

✔️ clear output of differences between strings

import difflib
diff = difflib.ndiff('one\ntwo\nthree\n'.splitlines(keepends=True),
'ore\ntree\nemu\n'.splitlines(keepends=True))
print(''.join(diff))

📎
Ultimate Python Cheat Sheet: Practical Python For Everyday Tasks : link

#cheat_sheet #Python

🆔 @Python4all_pro

5.1K views14:20

پایتون ( Machine Learning | Data Science )

🖥 چیت شیت شماره 21 پایتون

اطلاعات زیادی در این چیت شیت ها وجود دارد که برای پایتون کارهای مبتدی و پیشرفته مفید خواهد بود: از basic data structures و OOP و کار با فایل ها - تا creating asynchronous applications و کار با SQL.

🟡 Python Cheatsheet

#cheat_sheet #Python

🆔 @Python4all_pro

2.9K views16:05

پایتون ( Machine Learning | Data Science )

چیت شیت شماره ۲۲ از مجموعه ی هر روز یک Cheat Sheet :

🔖 ده چیت شیت پایتون و کتاب‌خانه‌های پایتون

👉Python Cheatsheet

Based on the book Automate the Boring Stuff with Python and many other sources
https://lnkd.in/grD8XUS6

👉Pandas cheat sheet

https://pandas.pydata.org/Pandas_Cheat_Sheet.pdf

👉NumPy cheat sheet

https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Numpy_Python_Cheat_Sheet.pdf

👉Matplotlib cheat sheet

https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Python_Matplotlib_Cheat_Sheet.pdf

👉Season cheat sheet

https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Python_Seaborn_Cheat_Sheet.pdf

👉Scikit-learn cheat sheet

https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Scikit_Learn_Cheat_Sheet_Python.pdf

👉Tensorflow cheat sheet

https://www.altoros.com/tensorflow-cheat-sheet.html

👉Keras cheat sheet

https://www.datacamp.com/cheat-sheet/keras-cheat-sheet-neural-networks-in-python

👉PyTorch cheat sheet

https://www.sznajdman.com/wp-content/uploads/2018/02/pytorch-cheat.jpg

👉Scipy cheat sheet

https://www.datacamp.com/cheat-sheet/scipy-cheat-sheet-linear-algebra-in-python

#cheat_sheet #Python #library

🆔 @Python4all_pro

4.2K views12:36

پایتون ( Machine Learning | Data Science )

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

www.pythoncheatsheet.org

Python Cheatsheet

The Python Cheatsheet

3.0K views13:40

پایتون ( Machine Learning | Data Science )

Python Pandas Cheat Sheet

#cheat_sheet #Python
🆔 @Python4all_pro

3.2K views10:05

پایتون ( Machine Learning | Data Science )

2.6K views06:37

پایتون ( Machine Learning | Data Science )

#NumPy cheat sheet for #datascience :

*Array Creation*

1. numpy.array() - Create an array from a list or other iterable.
2. numpy.zeros() - Create an array filled with zeros.
3. numpy.ones() - Create an array filled with ones.
4. numpy.empty() - Create an empty array.
5. numpy.arange() - Create an array with evenly spaced values.
6. numpy.linspace() - Create an array with evenly spaced values.

*Array Operations*

1. + - Element-wise addition.
2. - - Element-wise subtraction.
3. * - Element-wise multiplication.
4. / - Element-wise division.
5. ** - Element-wise exponentiation.
6. numpy.sum() - Sum of all elements.
7. numpy.mean() - Mean of all elements.
8. numpy.median() - Median of all elements.
9. numpy.std() - Standard deviation.
10. numpy.var() - Variance.

*Array Indexing*

1. arr[i] - Access ith element.
2. arr[i:j] - Access slice from ith to jth element.
3. arr[i:j:k] - Access slice with step k.

*Array Reshaping*

1. arr.reshape() - Reshape array.
2. arr.flatten() - Flatten array.
3. arr.ravel() - Flatten array.

*Array Manipulation*

1. numpy.concatenate() - Concatenate arrays.
2. numpy.split() - Split array.
3. numpy.transpose() - Transpose array.
4. numpy.flip() - Flip array.

*Mathematical Functions*

1. numpy.sin() - Sine.
2. numpy.cos() - Cosine.
3. numpy.tan() - Tangent.
4. numpy.exp() - Exponential.
5. numpy.log() - Natural logarithm.

*Statistical Functions*

1. numpy.min() - Minimum value.
2. numpy.max() - Maximum value.
3. numpy.percentile() - Percentile.
4. numpy.quantile() - Quantile.

*Random Number Generation*

1. numpy.random.rand() - Random numbers.
2. numpy.random.normal() - Normal distribution.
3. numpy.random.uniform() - Uniform distribution.

*Linear Algebra*

1. numpy.dot() - Dot product.
2. numpy.matmul() - Matrix multiplication.
3. numpy.linalg.inv() - Matrix inverse.

#cheat_sheet #Python
🆔 @Python4all_pro

2.7K views06:38

پایتون ( Machine Learning | Data Science )