#93: Looking like there will be a PyBlazor!

Sponsored by DataDog -- pythonbytes.fm/datadog

Brian #1: Replacing Bash Scripting with Python.

• reading & writing files
• CLI’s and working with stdin, stdout, stderr
• Path and shutil
• replacing sed, grep, awk, with regex
• running processes
• dealing with datetime
• see also:
  • regex search and replace example scripts

Michael #2: pyodide

• Scientific Python in the browser
  • ALL of CPython (allowed in the browser)
  • NumPy
  • MatPlotLib
  • ...
• Project by Mozilla
• We asked “Will there be a PyBlazor?” just two weeks ago. I think we are on a path…

Brian #3: The subset of reStructuredText worth committing to memory

• A lot of Python packages document with reStructuredText, a lot of reStructuredText tutorials are overwhelming. This post is the answer.
• paragraphs are with two newlines
• headings use a weird underlined method of above and below and =, -, and ~
• bulleted lists work with asterisks but spacing is important
• italics and bold are with one or two surrounding asterisks
• inline code uses two backticks
• links and code snippets are weird and I have to always look this up, as with images, and internal references.
• so I’ll bookmark this link

Michael #4: bandit

• via Anthony Shaw
• Bandit is a tool designed to find common security issues in Python code.
• To do this Bandit processes each file, builds an AST from it, and runs appropriate plugins against the AST nodes. Once Bandit has finished scanning all the files it generates a report.
• Issues detected:
  • B312 telnetlib
  • B307 eval
  • B110 try_except_pass
  • B602 subprocess_popen_with_shell_equals_true

Brian #5: Learn Python 3 within Jupyter Notebooks

• just fun
• Also shows how to run pytest in a cell.

Michael #6: detect-secrets

• An enterprise friendly way of detecting and preventing secrets in code.
• From Yelp
• detect-secrets is an aptly named module for (surprise, surprise) detecting secrets within a code base.
• However, unlike other similar packages that solely focus on finding secrets, this package is designed with the enterprise client in mind: providing a backwards compatible, systematic means of:
  1. Preventing new secrets from entering the code base,
  2. Detecting if such preventions are explicitly bypassed, and
  3. Providing a checklist of secrets to roll, and migrate off to a more secure storage.
• Allows you to set a baseline
• set it up as a git commit hook