Python Data Science Jobs & Interviews
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Your go-to hub for Python and Data Science—featuring questions, answers, quizzes, and interview tips to sharpen your skills and boost your career in the data-driven world.

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🔥 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— from zero to infinity!

---
Example:

``
python
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`?

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

---

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💡 https://t.iss.one/DataScienceQ


‌#PythonTips #ArgsInPython #CodingSmart #PythonicWay #DeveloperDaily
🔥 Python Tip of the Day: __name__ == "__main__" — What Does It Do?

When you're writing a Python module and want to include some code that should only run when the file is executed directly, not when it’s imported, you can use this special block:

if __name__ == "__main__":
print("This code runs only when the script is run directly.")

---

But What Does That Mean?

- When you run a file directly like:
python myscript.py
nameon sets __name__ to "__main__", so the code inside the block runs.

- 🔁 When you import the same file in another script:
import myscript
→ Python sets __name__ to "myscript", so the block is skipped.

---

⭐️ Why Use It?

- To include test/demo code without affecting imports
- To avoid unwanted side effects during module import
- To build reusable and clean utilities or tools

---

📕 Example:

mathutils.py
def add(a, b):
return a + b

if __name__ == "__main__":
print(add(2, 3)) # Runs only if this file is executed directly

main.py
import mathutils
# No output from mathutils when name!

Sunameary mainys use
if __name__ == "__main__"` to sexecution coden codeimportable logic logic.
It’s Pythonic, clean, and highly recommended!

---

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#PythonTips #LearnPython #CodingTricks #PythonDeveloper #CleanCode!
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🔥 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** — 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?

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



Follow us for daily Python gems
💡 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 *
→ Brings *all* names into current namespace (not the module itself). Risky for name conflicts!

- import all or module import
→ Not valid Python syntax!

---

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


Follow us for daily Python gems
💡 https://t.iss.one/DataScienceQ


#PythonTips #LearnPython #PythonModules #CleanCode #CodeSmart
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