Python vs Julia Programming Language | SIX DIFFERENCES

#python vs #julia.

In this video, you will know all the differences between Python and Julia. Which programming language you want to know?

Python Programming Language

1. Python is an interpreted language and
high level and therefore time taken for
running the code is more.

2. Python has large community as it is old
language as compared to Julia. Thus
you can find the solution for the
problem easily.
3. Python has large collection of libraries
or modules and this makes it more
popular as compared to Julia. Before
writing your own coding part seach
for the module. You can easily find it
to use in your project
4. Python is only dynamically typed language
that is type of the variable is checked
during the run time.
5. Python is interpreted language and does
not need compilation at all.
6. Parallelism is not well refined in Python.
require serialization and deserialization
of data for parallelizing of threads.

Julia Programming Language

1. Julia is not an interpreted language and
written in C and therefore the time taken for
running the code is less and makes it
faster.

2. It is a new language and thus its
community is not so large. Due it if
you have any problems while coding
you may not find the solution.

3. Libraries for the Julia are not much more
as its a new language. Therefore you
have to write more coding for getting
more functionalities for your own project

4. Julia is both Dynamically and Statically
Typed language. Statically Typed
Language is the language where the type
of the variable is known at compile time.

5. Julia is not interpreted language and
is a compiled language as it is based on
C language.

6. Julia has more refined parallelization than
Python reducing the threshold to
use of threads.

[mountainhobo]

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