Python learning resources
Beginner to advanced Python guides, cheatsheets, books and projects.
For data science, backend and automation.
Join 👉 https://rebrand.ly/bigdatachannels
DMCA: @disclosure_bds
Contact: @mldatascientist
Post #481
913
Channel Public Channel
PY Python Learning
@python_bds
- Subscribers
- 5.74K
- Photos
- 587
- Videos
- 2
- Links
- 132
Showing posts older than #482 · Back to latest
Older Posts 20 shown
Post #480
1.02K
Free Python Books
A list of Python books in English that are free to read online or download.
Creator: Paolo Amoroso
Stars ⭐️: 3.8k
Forked By: 503
https://github.com/pamoroso/free-python-books
#python #pythonbooks #books
➖➖➖➖➖➖➖➖➖➖
Join @bigdataspecialist for more
A list of Python books in English that are free to read online or download.
Creator: Paolo Amoroso
Stars ⭐️: 3.8k
Forked By: 503
https://github.com/pamoroso/free-python-books
#python #pythonbooks #books
➖➖➖➖➖➖➖➖➖➖
Join @bigdataspecialist for more
- 👍 2
Post #479
871
Post #478
901
Post #477
995
Useful python modules
- 👍 3
Post #476
886
Post #475
940
Download YouTube video using python
- 🔥 3
- 👍 1
Post #474
938
Post #473
961
Post #472
997
lpython
LPython is a Python compiler. It is in heavy development, currently in alpha stage. LPython works on Windows, macOS and Linux. Some of the goals of LPython include:
The best possible performance for numerical, array-oriented code
Run on all platforms
Compile a subset of Python yet be fully compatible with Python
Explore designs so that LPython eventually can compile all Python code
Fast compilation
Excellent user-friendly diagnostic messages: error, warnings, hints, notes, etc.
Ahead-of-Time compilation to binaries, plus interactive usage (Jupyter notebook)
Transforming Python code to C++, Fortran and other languages
Creator: lcompilers
Stars: ⭐️ 841
Forked by: 98
GitHub repo: https://github.com/lcompilers/lpython
#ipython
➖➖➖➖➖➖➖➖➖➖➖➖➖➖
Join @github_repositories_bds for more cool repositories.
*This channel belongs to @bigdataspecialist group
GitHub GitHub - lcompilers/lpython: Python compiler Python compiler. Contribute to lcompilers/lpython development by creating an account on GitHub. LPython is a Python compiler. It is in heavy development, currently in alpha stage. LPython works on Windows, macOS and Linux. Some of the goals of LPython include:
The best possible performance for numerical, array-oriented code
Run on all platforms
Compile a subset of Python yet be fully compatible with Python
Explore designs so that LPython eventually can compile all Python code
Fast compilation
Excellent user-friendly diagnostic messages: error, warnings, hints, notes, etc.
Ahead-of-Time compilation to binaries, plus interactive usage (Jupyter notebook)
Transforming Python code to C++, Fortran and other languages
Creator: lcompilers
Stars: ⭐️ 841
Forked by: 98
GitHub repo: https://github.com/lcompilers/lpython
#ipython
➖➖➖➖➖➖➖➖➖➖➖➖➖➖
Join @github_repositories_bds for more cool repositories.
*This channel belongs to @bigdataspecialist group
Post #471
825
Post #470
852
Post #469
948
How python program runs?
- 👍 2
Post #468
959
Post #467
980
Python List Methods clearly Explained!🚀
Here are brief descriptions for each, followed by Illustrations below!
• append( ):
Adds an element to the end of the list.
• pop( ):
Removes and returns an element at a given index. If no index is specified, it removes and returns the last element.
• insert( ):
Inserts an element at a specified index, pushing other elements to the right.
• remove( ):
Removes the first occurrence of a specified value from the list.
• extend( ):
Appends all the elements from another list (or any iterable) to the end of the list.
• reverse( ):
Reverses the elements in the list in-place.
• index( ):
Returns the index of the first occurrence of a specified value in the list.
• count( ):
Returns the number of occurrences of a specified value in the list.
• sort( ):
Sorts the elements in the list in-place. Optional arguments can specify ascending or descending order.
Here are brief descriptions for each, followed by Illustrations below!
• append( ):
Adds an element to the end of the list.
• pop( ):
Removes and returns an element at a given index. If no index is specified, it removes and returns the last element.
• insert( ):
Inserts an element at a specified index, pushing other elements to the right.
• remove( ):
Removes the first occurrence of a specified value from the list.
• extend( ):
Appends all the elements from another list (or any iterable) to the end of the list.
• reverse( ):
Reverses the elements in the list in-place.
• index( ):
Returns the index of the first occurrence of a specified value in the list.
• count( ):
Returns the number of occurrences of a specified value in the list.
• sort( ):
Sorts the elements in the list in-place. Optional arguments can specify ascending or descending order.
- 👍 4
Post #466
857
Post #465
1K
python-training
Python training for business analysts and traders. This is designed to be an introduction to numerical computing and data visualization in Python. It is not designed to be a complete course in Computer Science or programming, but rather a motivational demonstration of how relatively complex topics can be accessible even to those without formal progamming backgrounds.
Creator: J.P. Morgan
Stars: ⭐️ 2.9k
Forked by: 709
GitHub repo: https://github.com/jpmorganchase/python-training
#python #training
➖➖➖➖➖➖➖➖➖➖➖➖➖➖
Join @github_repositories_bds for more cool repositories.
*This channel belongs to @bigdataspecialist group
Python training for business analysts and traders. This is designed to be an introduction to numerical computing and data visualization in Python. It is not designed to be a complete course in Computer Science or programming, but rather a motivational demonstration of how relatively complex topics can be accessible even to those without formal progamming backgrounds.
Creator: J.P. Morgan
Stars: ⭐️ 2.9k
Forked by: 709
GitHub repo: https://github.com/jpmorganchase/python-training
#python #training
➖➖➖➖➖➖➖➖➖➖➖➖➖➖
Join @github_repositories_bds for more cool repositories.
*This channel belongs to @bigdataspecialist group
Post #463
943
Post #462
943
Get address and zip code using python
Post #461
936
- 👍 2