Why should I learn Python over C or C++?

Some differences between C++ and Python: Python uses Garbage Collection whereas C++ does not. C++ is a statically typed language, while Python is a dynamically typed language. Python is easier to use than C++. Python is run through an interpreter, whilst C++ is pre-compiled. Hence, C++ is faster than Python. C++ supports pointers and incredible memory management. Python supports very fast development and rapid, continuous language development. Python has less backwards compatibility. Majority of all applications are built from C++. Majority of all 3D applications offer Python access to their API's. Python code tends to be 5 to 10 times shorter than that written in C++. In Python, there is no need to declare types explicitly. Smaller code size in Python leads to leads to "rapid prototyping", which offers speed of development. Python requires an engine to run. Python is interpreted each time it runs. Python is hard to install on a Windows box and thus makes distribution of the program problematic. C++ is a pure binary that links to existing libraries to assist the coding. In Python, variables are in scope even outside the loops in which they are first instantiated. In Python, a function may accept an argument of any type, and return a value of any type, without any kind of declaration beforehand. Python provides flexibility in calling functions and returning values. Python looks cleaner, is object oriented, and still maintains a little strictness about types read less

if u know about the c or C++ oops concept its easy to learn and However, the biggest difference between these languages is their runtime and how they are compiled. C and C++ are compiled to native executables. Python is interpreted at runtime and hence isn't compiled until runtime (although Python does cache compiled copies in *.pyc files read less

Advantages of any modern interpreted language over C++. Like any tradeoff, these are advantages in some situations and disadvantages in others. Situations where you don't want these conveniences are becoming more rare, though, as hardware gets even faster and high-level language implementations get even more efficent. No compile step. Write your code in my_program.py, then run it with python my_program.py. No memory management. You don't have to explicitly allocate memory for new variables, and you don't have to explicitly free memory you're done with. The interpreter will allocate memory for you and free it when it's safe to do so. High-level native data types. Strings, tuples, lists, sets, dictionaries, file objects and more are built-in. As an example, {"x": "y"} defines a dictionary (hash table) with string "x" as a key and string "y" as its value. Specific advantages of Python: Especially clean, straightforward syntax. This is a major goal of the Python language. Programmers familiar with C and C++ will find the syntax familiar yet much simpler without all the braces and semicolons. Duck typing. If an object supports .quack, go ahead and call .quack on it without worrying about that object's specific type. Iterators, generators and comprehensions. To get the first character of every line in a file, you'd write: file = open("file.txt") list_of_first_characters = [line[0] for line in file] file.close() This iterates over the file only once. (These particular features are just the tip of the iceberg of simple built-in syntax for high-level language features. Check out decorators next if you're intrigued.) Huge standard library. Just to pick some random examples, Python ships with several XML parsers, csv & zip file readers & writers, libraries for using pretty much every internet protocol and data type, etc. Great support for building web apps. Along with Ruby and JavaScript, Python is very popular in the web development community. There are several mature frameworks and a supportive community to get you started. read less