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Python Data Science jobs, interview tips, and career insights for aspiring professionals.

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πŸ”₯ Python Tip of the Day:
How to Accept *Any* Number of Arguments in a Function?

Ever wanted to pass as many values as you like to a function in Python? You can! Just use:

def my_function(*args):
    for item in args:
        print(item)

This `*args syntax lets your function take **any number of positional arguments** β€” from zero to infinity!

✨ Example:

my_function(1, 2, 3, 'Python', 42)

Output:
1
2
3
Python
42


Perfect when you don’t know how many inputs you’ll get!



❓Why *args?

- βœ… Flexible & clean
- βœ… Avoids unnecessary overloads
- βœ… Makes your code reusable & Pythonic



Follow us for daily Python gems
πŸ’‘ https://t.iss.one/DataScienceQ


#PythonTips #ArgsInPython #CodingSmart #PythonicWay #DeveloperDaily
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🐍 Python Tip of the Day: Importing an Entire Module

How do you bring an entire module into your Python code?

You simply use the:

import module_name

Example:
import math

print(math.sqrt(25)) # Output: 5.0

This way, you're importing the *whole module*, and all its functions are accessible using the module_name.function_name format.

⚠️ Don’t Confuse With:

- from module import *
β†’ Brings *all* names into current namespace (not the module itself). Risky for name conflicts!

- import all or module import
β†’ Not valid Python syntax!

---

βœ… Why use import module?
- Keeps your namespace clean
- Makes code more readable and traceable
- Avoids unexpected overwrites


Follow us for daily Python gems
πŸ’‘ https://t.iss.one/DataScienceQ


#PythonTips #LearnPython #PythonModules #CleanCode #CodeSmart
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πŸ”§ Python Interview Question – Configuration Management Across Modules

Question:
You're working on a Python project with several modules, and you need to make some global configurations accessible across all modules. How would you achieve this?

Options:
a) Use global variables
b) Use the configparser module
c) Use function arguments
d) Use environment variables βœ…

---

βœ… Correct Answer: d) Use environment variables

---

πŸ’‘ Explanation:

When dealing with multiple modules in a project, environment variables are the best way to store and share global configurations like API keys, file paths, and credentials.

They are:
- Secure πŸ”
- Easily accessible from any module 🧩
- Ideal for CI/CD and production environments βš™οΈ
- Supported natively in Python via os.environ

Example:
import os

api_key = os.environ.get("API_KEY")


Pair it with .env files and libraries like python-dotenv for even smoother management.

---

❌ Why not the others?

- Global variables: Messy and hard to manage in large codebases.
- configparser: Good for reading config files (`.ini`) but not inherently global or secure.
- Function arguments: Not scalable β€” you'd have to manually pass config through every function.

---

🧠 Tip: Always externalize configs to keep your code clean, secure, and flexible!

#Python #InterviewTips #PythonTips #CodingBestPractices #EnvironmentVariables #SoftwareEngineering

πŸ”By: https://t.iss.one/DataScienceQ
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