Easy to Learn and Use: Python has a very simple and English-like syntax. Even if you're new to programming, you can easily understand and write Python code.

Example:

print("Hello from ShikshaSanchar!")

Just one line prints output — no need to write complex boilerplate code.

Interpreted Language: Python runs your code line-by-line using an interpreter, making it easier to debug and test. You don’t need to compile it separately like C or Java.

Free and Open Source: Python is completely free to download and use. Anyone can download, use, change, and share Python without paying anything.

Portable: Python code works on different platforms like Windows, Mac, or Linux without any changes. This is very helpful for cross-platform projects.

Large Standard Library: Python comes with many built-in modules and tools (called libraries) that help with web development, file handling, data analysis, mathematics, etc. You don’t have to write everything from scratch.

Example:

import math
print(math.sqrt(64))

Supports Multiple Programming Paradigms: Python allows different styles of coding — like object-oriented, functional, and procedural — all in one language.

Dynamic Typing: You don’t need to declare variable types. Python decides the type based on the value you assign.

Example:

x = 10          # x is an integer
x = "Python"    # Now x is a string
                            

Huge Community Support: Since Python is very popular, you’ll find lots of tutorials, forums, videos, and documentation online. Help is always available when you're stuck.

Slower Execution: Python is slower compared to languages like C or Java because it is interpreted and not compiled. For tasks requiring very fast processing (like gaming engines or heavy graphics), Python may not be ideal.

High Memory Usage: Python uses more memory, which can be a problem when working with large datasets or on devices with limited RAM.

Not Ideal for Mobile App Development: Python is not widely used for mobile apps. Other languages like Kotlin, Swift, or Java are preferred in that field.

Runtime Errors: Since Python uses dynamic typing, errors related to variable types might only appear when you run the program — not before.

Example:

x = "10"
print(x + 5)  # Error! Can't add string and number

Database Access Limitations: Python is not as strong as Java or C# when it comes to interacting with databases in large-scale enterprise applications.