https://github.com/antazo/automation-toolbox

Placeholder for Python, Bash and PowerShell material, and other CLI snippets that I want to keep track of, for future reference and educational purposes.
https://github.com/antazo/automation-toolbox

Last synced: 29 days ago
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Placeholder for Python, Bash and PowerShell material, and other CLI snippets that I want to keep track of, for future reference and educational purposes.

• Host: GitHub
• URL: https://github.com/antazo/automation-toolbox
• Owner: antazo
• Created: 2024-07-15T18:28:36.000Z (5 months ago)
• Default Branch: main
• Last Pushed: 2024-09-09T18:09:28.000Z (4 months ago)
• Last Synced: 2024-09-09T22:09:04.919Z (4 months ago)
• Language: Python
• Homepage:
• Size: 120 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Automation Toolbox

### Python · Bash · PowerShell · Ansible

Placeholder for Python, Bash and PowerShell material, and other CLI snippets that I want to keep track of, for future reference and educational purposes.

Some of the resources were used for:

 * Google IT Automation with Python Professional Certificate.

 * Network Automation Professional Certificate by Arista Networks.

## Pythonic modules cheat sheet:

Multiprocessing (CPU-bound tasks):

```

from multiprocessing import Pool

```

Thread and process pool executors:

```

from concurrent import futures

```

Asynchronous I/O:

```

import asyncio

async def main():

    print('Hello ...')

    await asyncio.sleep(1)

    print('... World!')

asyncio.run(main())

```

Guppy:

```

from guppy import hpy

h = hpy()

print h.heap()

```

Beautiful Soup:

```

from bs4 import BeautifulSoup

```

MSTICPy (>v3.8, if working on local, create a virtual environment first):

```

import msticpy as mp

```

NumPy ("pip3 install matplotlib" on virtual environment):

```

import numpy as np

```

PyTorch (>v3.8, if CUDA support is needed with NVIDIA GPUs, check the Tensors documentation):

```

import torch

torch.cuda.is_available()

```

Pandas (>v3.9, use Anaconda to install the PyData stack. This includes Matplotlib, NumPy, SciPy, etc):

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

Others:

```

from memory_profiler import profile # Memory profiler

@profile # Don't forget the decorator

from tqdm import tqdm # "Te quiero demasiado" progression bars

import zimply # RIM reader, for Wikipedia

import zimply.zimply

```