When we talk about speed, here, we mean your speed, not program speed (we'll get to that in terms of performance). To start with, Python was designed to be coded. It might sound strange (since all languages are meant to be coded), but Python really takes the programmer into consideration. Python has a lot of whitespace and easy readability.
It also has much simpler syntax than C #. For example, printing your name in C # takes about ten lines of code. The same thing can be done in two with Python. Also, Python doesn't require you to end each line with a semicolon like C languages do.
The differences are mostly small things, but they are of great help when writing code.
On the flip side, C # is familiar. If you know Java or any other C language, learning C # is just one step to the left. Although Python operates on many similar structural principles, such as being object oriented and a high level language, the syntax is very different from C # or other C languages. If you are not familiar with Python, its syntax may slow you down while it you learn.
Another thing to note is that Python is dynamically typed, while C # is static. This means that when you call a variable in Python, it generally doesn't matter what it is, Python will find out at runtime. It could be a float, a string, or an integer; they will all print as they are when the program is run.
For C # all types must be known before runtime. If you try to use a float as a string, C # will get mad at you. Variables must be converted to work. This means more time to ensure that all of your (kind) ducks are in order, which, in turn, means more time spent on programming.
Python is also faster when it comes to code execution. Since Python doesn't have a compile step, it runs straight away unlike C #, which has a compile step. While compile steps aren't always long, they can significantly increase the amount of time it takes for testing and debugging - you'll have to wait for a compile step every time you try to run your code, even when you're only making small changes.
Python vs C#: Performance
When it comes to performance, there is a clear distinction between C # and Python. C # is a compiled language and Python is interpreted. Python's speed is highly dependent on its interpreter; with the main ones being CPython and PyPy. Regardless, C # is much faster in most cases.
For some applications, it can be up to 44 times faster than Python. This is for a number of reasons: from Python's garbage collector to its dictionary searches. It is also partly due to the fact that C # is a compiled language - it takes a little more work to write but works more efficiently because of it.
C # has a clearer and more organized structure. As an OOP language, there are no inconsistencies in formatting rules or syntax. Because of this, C # is just a little bit slower to learn and code. C # can also do almost everything Python can do, and C # is much faster at runtime, in part due to all the extra effort you put into it.
Python is easy to learn (certainly easier to learn than C #) and easy to write. Python is so good at getting you to code with good practices, that it's usually recommended as the first language you learn (and doesn't have the phalanx of curly braces as seen in C #). Python also has extensive standard libraries and is easier to use for machine learning.
