Python LinkedIn API Test Post

Hello, LinkedIn! This is a test post from my Python application using the LinkedIn API v2. Posted at 2026-03-04 22:29:33 #1772645373 #Python #LinkedInAPI

Hello, LinkedIn! This is a test post from my Python application using the LinkedIn API v2. Posted at 2026-03-04 22:30:54 #1772645454 #Python #LinkedInAPI

Python : Function: Function in python is a reusable block of code that performs a specific task process it and return output. types: 1)**args: it is sued to access the variable numbers of psoitional argumnets

There may now be more people who can produce Python code than people who can actually code in Python. Generating code is becoming common. Understanding it is still rare. A sign of the times, but that’s totally okay.

Task 3: Contact Book Program in Python Created a Contact Book application using Python. Learned about: ✔️ Lists ✔️ Functions ✔️ Search logic ✔️ Delete operations Fun project with strong concept clarity😄 #Python #KODBUD

🐍 3 Python tools every developer should know 1️⃣ Black – code formatter 2️⃣ Pytest – testing 3️⃣ Requests – API calls 💬 What Python tool do you use the most? #Python #PythonProgramming #PythonTools #AitmadPyDeveloper

Python datetime Functions — Explained with Clear Examples Working with dates and time is a common task in Python, yet many developers still get confused when dealing with timestamps, formatting, and time calculations.

Reverse a number in Python n = 1234 Expected reverse numbers = 4321 Python code n = 1234 rev = 0 while n > 0: digit = n % 10 rev = rev * 10 + digit n = n // 10 print(rev)

#In Python we strive for "The Zen of Python" Simple is better than complex. This is a great reminder that behind every sleek application is a series of well-defined conditions and loops working in the background. #CodingLogic #CleanCode

Dealing with missing values in Python. 👨🏿💻 📊 Since the columns contain numeric values, the missing values were replaced with each column's mean (average) to keep them within reasonable range. #Python #PythonForDataScience #DataAnalytics #Pandas #DataCleaning