IES Python script for parametric analysis of ApacheSim

#Python tip of the day Got a slow import? You can trace it with the "importtime" module[1] (batteries included) and visualize those results with a project by kmichel[2]. For instance, I was curious about import times for #cvxpy. [1]: python -X importtime $MODULE 2> importtime.txt [2]: https://lnkd.in/dB4dcz-p

Does your boss want to see progress made towards expunging #CVEs from network devices? Would he appreciate seeing this information in a graph? Check out Andrew Mulheirn's #ForwardCommunity tutorial on how to graph CVE numbers over time using the #ForwardAPI, a python script, and #Grafana. https://hubs.li/Q03P2F090

My friend asked me, why this simple Excel formula "=IF(0<F2<0.5, "Failed", IF(0.5<F2<0.8, "Passed", "Other"))" returned a #VALUE! error. Most programming languages can’t handle chained comparisons like that either. Then I thought — why not make Excel-style logic work inside Python? Here, you can have Excel functions in Python. Sometimes, Python can be simpler than you think #Python #ExcelFx

Python Day 5 Tip: Difference Between append() and extend() Both are used to add elements to a list , but they work differently! # Example list1 = [1, 2, 3] list1.append([4, 5]) print(list1) #output is [1, 2, 3, [4, 5]] list1 = [1, 2, 3] list1.extend([4, 5]) print(list1) #output is [1, 2, 3, 4, 5] 1) append() adds the entire object as a single element. 2) extend() adds each element from the iterable individually. Tip: Use append() for single items and extend() for adding multiple items at once. #Python #30DaysOfpythonCode #PythonTips #Coding #FullStackDeveloper #LearnPython #PythonLearning

"Built a simple BMI Calculator in Python to help users quickly assess their body mass index. A small project to practice Python basics and user input handling." #oasisinfobyte

Python Tips day#3 - Logging > Print “If you’re still debugging with print(), it’s time to switch to logging. You get timestamps, severity levels, filtering, and file outputs. Small change → massive improvement in maintainability.” #Python #SoftwareEngineering

Powerful One Liners in Python 1. Swap two numbers n1, n2 = n2, nl 2. Reverse a string reversed_string = input_string[::-1] 3. Factorial of a number fact = lambda n: [1, 0] [n>1] or fact(n-1)*n 4. Prime numbers primes = list(filter (lambda x:all (x%y!=0 for y in range(2, x)), range(2, 10))) 5. String Palindrome palindrome = input_string == input_string[::-1] share your favorite one liner 👇 #python #programming

Python trick: safe thread termination through an Event flag Many people simply set daemon=True and hope everything stops on its own. But that breaks control and can lead to leaks. A simpler and more reliable way is to use a shared Event to notify threads about shutdown. to learn more check python docs https://lnkd.in/eSxZ3Tds Want to discover python stuff like this, let connected 👨💻 #Python #Threading #Event

Test Python code not "by feel," but through three levels. First, unit tests for basic logic, then fixtures for the real environment (files, databases, HTTP mocks), and on top hypothesis for the automatic search for hidden bugs. This way, the tests will be short, and the coverage and reliability will be maximal. That is the goal of hypothesis. To learn more about hypothesis check the documentation here https://hypothesis.works/ Did you know it before for testing ? To discover more tips like this let connected :) #python #test #pytest #hypothesis #fastapi #django

Building UIs in the Terminal With Python Textual Learn to build rich, interactive terminal UIs in Python with Textual: a powerful library for modern, event-driven TUIs. https://lnkd.in/ev3PERQY