Python type() function returns object class

Understanding Conditional Statements in Python 🧠🐍 Conditional statements help Python make decisions based on conditions. They control the flow of a program using if, elif, and else. In simple terms: 👉 Python checks a condition 👉 If it’s true, one block runs 👉 If not, another block runs Example: age = 18 if age >= 18:   print("Eligible to vote") else:   print("Not eligible")

If anyone is interested in developing their skills in Python fastapi, a quick thought based on my experience that might be helpful. 💬 Here are some tips for developing this skill:

🐍📰 How to Integrate Local LLMs With Ollama and Python Learn how to integrate your Python projects with local models (LLMs) using Ollama for enhanced privacy and cost efficiency https://lnkd.in/daKR5435

In Python, values like 0, None, and empty collections are treated as False in conditions. Non-zero and non-empty values are treated as True. This helps write clean and readable conditional checks.

🚀 Day 47 | Python Learning Journey 🐍 Today I explored one of Python’s most powerful concepts — Decorators 🔥 🔹 What is a Decorator? A decorator is a function that enhances or modifies another function’s behavior without changing its source code. 🔹 Key Concepts Covered: ✅ Functions as arguments ✅ Nested functions ✅ Wrapper functions ✅ @decorator_name syntax ✅ Code reusability & clean design 🔹 Why Decorators matter? ✔ Add logging, authentication, validation ✔ Keep code clean & maintainable ✔ Follow DRY principle 📌 Example used: Adding a welcome message before and after a function call using a decorator.

Today, I learned how to convert data types from string to integer in Python. I practiced changing values stored as strings into integers, which is an essential step when preparing data for calculations or analysis. This exercise helped me better understand how data types work and how to manipulate them effectively.😀

Python environments can be confusing 🧩 Especially when multiple versions are installed. Packages are often already installed — just not in the Python you’re running. Mustel is a lightweight Python CLI tool that makes this visible 🔍 It helps you: ✔️see which Python is active 🐍 ✔️see installed packages across versions📦 ✔️spot environment mismatches clearly ⚠️ Mustel doesn’t modify your system. It simply shows what’s already there. Install: pip install mustel 📘 Docs: https://lnkd.in/dyrxjVEi 📦 PyPI: https://lnkd.in/dn2MFe-G

🐍 Python Term of the Day: copy (Python Standard Library) Provides functionality to create shallow and deep copies of objects in Python. https://lnkd.in/dewck_W4

Improving Your Tests With the Python Mock Object Library From https://lnkd.in/emh-PrTm Master Python testing with unittest.mock. Create mock objects to tame complex logic and unpredictable dependencies.