Category: python

https://www.freecodecamp.org/news/new-mojo-programming-language-for-ai-developers/

https://realpython.com/python-shebang

In this tutorial, you’ll:

• Learn what a shebang is
• Decide when to include the shebang in Python scripts
• Define the shebang in a portable way across systems
• Pass arguments to the command defined in a shebang
• Know the shebang’s limitations and some of its alternatives
• Execute scripts through a custom interpreter written in Python

In short, a shebang is a special kind of comment that you may include in your source code to tell the operating system’s shell where to find the interpreter for the rest of the file:

#!/usr/bin/python3
print("Hello, World!")

https://numpy.org/doc/stable/user/absolute_beginners.html

NumPy (Numerical Python) is an open source Python library that’s used in almost every field of science and engineering. It’s the universal standard for working with numerical data in Python, and it’s at the core of the scientific Python and PyData ecosystems. NumPy users include everyone from beginning coders to experienced researchers doing state-of-the-art scientific and industrial research and development. The NumPy API is used extensively in Pandas, SciPy, Matplotlib, scikit-learn, scikit-image and most other data science and scientific Python packages.

The NumPy library contains multidimensional array and matrix data structures (you’ll find more information about this in later sections). It provides ndarray, a homogeneous n-dimensional array object, with methods to efficiently operate on it. NumPy can be used to perform a wide variety of mathematical operations on arrays. It adds powerful data structures to Python that guarantee efficient calculations with arrays and matrices and it supplies an enormous library of high-level mathematical functions that operate on these arrays and matrices.

https://www.linkedin.com/feed/update/urn:li:activity:7040348350537220096/

Local copy

https://realpython.com/image-processing-with-the-python-pillow-library/

https://pillow.readthedocs.io/en/stable/

https://www.freecodecamp.org/news/python-automation-scripts/

• Automate Python Proofreading
• Automate Playing Random Music
• Automatic PDF to CSV Converter
• Automatic Photo Compressor
• Automatic YouTube Video Downloader
• Automatic Text to Speech
• Automatically Convert Images to PDF
• Automatic Plagiarism Checker
• Make URLs Shorter
• Internet Speed Tester

https://cv-tricks.com/how-to/developer-guide-to-key-differences-between-python-2-and-3/

• • Print Statement
  • input() function (returns a string in 3.x; under 2.x use raw_input instead)
  • Unicode Literals
  • Exceptions
  • Rounding
  • List comprehension
  • Generators
  • string.replace is not available anymore
  • reload() should be replaced with import importlib; importlib.reload()
  • As of Python version 3.7, dictionaries are ordered. In Python 3.6 and earlier, dictionaries are unordered but insertion ordered.

https://medium.com/@meghamohan/mutable-and-immutable-side-of-python-c2145cf72747

Everything in Python is an object.
Since everything in Python is an Object, every variable holds an object instance. When an object is initiated, it is assigned a unique object id. Its type is defined at runtime and once set can never change, however its state can be changed if it is mutable.

Simply put, a mutable object can be changed after it is created, and an immutable object can’t.

Mutable objects:
list, dict, set, byte array

Immutable objects:
int, float, complex, string, tuple, frozen set [note: immutable version of set], bytes