#] 
#] *********************
#] "$d_SysMaint""Python/0_python notes.txt"  
# 18Oct2021 initial






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# Table of contents, generated with :
# $ grep  "^#] "  "$d_SysMaint""Python/0_python notes.txt"  |  sed 's/^#\]/ /'  
# 
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  "$d_SysMaint""Python/0_python notes.txt"  
  18Oct2021 [bash, QNial, Python] - which should run which?  parallelism with networked multi-processes of ALL? 
  18Oct2021 Neural net python!!! I have to join the rest of of the world!!!  
        It's taken me forever to get nowhere...
        The Python Standard Library - https://docs.python.org/3/library/index.html
        Top 10 Python Libraries: https://www.edureka.co/blog/python-libraries/
        Certifications for [python, neural nets] - I need to get these

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#] ??Aug2023 


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#] ??Aug2023 


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#] ??Aug2023 


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#] 07Aug2023 search "python piping"

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https://towardsdatascience.com/pipe-operations-in-python-1e8f8debe26
Use Pipe Operations in Python for More Readable and Faster Coding
A handy Python package to save a ton of coding time and improve readability with shell-styled pipe operations
Thuwarakesh Murallie
Dec 27, 2021

Python is already an elegant language to program. But it doesn’t mean there is no room for improvement.

Pipe is a beautiful package that takes Python’s ability to handle data to the next level. It takes a SQL-like declarative approach to manipulate elements in a collection. It could filter, transform, sort, remove duplicates, perform group by operations, and a lot more without needing to write a gazillion lines of code.

In this little post, let’s discuss simplifying our python code with Pipe. Most importantly, we’ll construct custom reusable pipe operations to reuse in our project.

Start using pipes in Python.
Here’s an example of using Pipe. Suppose we have a list of numbers, and we want to,
	remove all the duplicates;
	filter for only the odd numbers;
	square each element in the list, and;
	sort the values in ascending order;
here’s what we’d typically do in plain Python.
>> horrible code follows...

key point is that Python is pragmatic, and seems to have worked 



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#] 18Oct2021 [bash, QNial, Python] - which should run which?  parallelism with networked multi-processes of ALL? 


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#] 18Oct2021 Neural net python!!! I have to join the rest of of the world!!!  
#]       It's taken me forever to get nowhere...

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#]       The Python Standard Library - https://docs.python.org/3/library/index.html


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#]       Top 10 Python Libraries: https://www.edureka.co/blog/python-libraries/

Python is an ocean of libraries that serve various purposes and as a Python developer, you must have sound knowledge of the best ones. To help you in this, here is an article that brings to you the Top 10 Python Libraries for machine learning which are:
    TensorFlow
    Scikit-Learn
    Numpy
    Keras
    PyTorch
    LightGBM
    Eli5
    SciPy
    Theano
    Pandas
>> Howell - I already had numpy (LAPACK-based, I used for OPM)
	added Python-syme, 

Python web libraries
	Python-scrapy - scraping & crawling
	Python-xlib - X11 protocol
	Pyton-nltk - natural language processing
	Python-pp - paral& distributed programming toolkit
	Python-pywt - wavelet transforms
	

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#]       Certifications for [python, neural nets] - I need to get these
what ut [Google, Facebook,

Suppliers : 
https://www.edureka.co



# enddoc