Software Alternatives & Reviews

Julia VS Python

Compare Julia VS Python and see what are their differences

Julia logo Julia

Julia is a sophisticated programming language designed especially for numerical computing with specializations in analysis and computational science. It is also efficient for web use, general programming, and can be used as a specification language.

Python logo Python

Python is a clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.
  • Julia Landing page
    Landing page //
    2023-09-15

We recommend LibHunt Julia for discovery and comparisons of trending Julia projects.

  • Python Landing page
    Landing page //
    2021-10-17

Julia

Categories
  • Technical Computing
  • Programming Language
  • Numerical Computation
  • OOP
Website julialang.org
Details $

Python

Categories
  • Programming Language
  • OOP
  • Generic Programming Language
  • JVM Programming Language
Website python.org
Details $

Julia videos

Julie & Julia Movie Review: Beyond The Trailer

More videos:

  • Review - 'Julie & Julia' review by Michael Phillips
  • Review - Julie & Julia movie review by Kenneth Turan

Python videos

Creator of Python Programming Language, Guido van Rossum | Oxford Union

Category Popularity

0-100% (relative to Julia and Python)
Programming Language
22 22%
78% 78
Technical Computing
100 100%
0% 0
OOP
18 18%
82% 82
Generic Programming Language

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Julia and Python

Julia Reviews

7 Best MATLAB alternatives for Linux
Julia is capable of direct calling C and Fortran libraries. You can create scripts in interactive mode (REPL) and by using its embedding API you can use Julia with other programming languages easily.
15 data science tools to consider using in 2021
Julia 1.0 became available in 2018, nine years after work began on the language; the latest version is 1.6, released in March 2021. The documentation for Julia notes that, because its compiler differs from the interpreters in data science languages like Python and R, new users "may find that Julia's performance is unintuitive at first." But, it claims, "once you understand...
10 Best MATLAB Alternatives [For Beginners and Professionals]
Talking about its capability, Julia can load multidimensional datasets and can perform various actions on them with total ease. Julia has over 13 million downloads as of today. It’s the proof of its flexibility
6 MATLAB Alternatives You Could Use
Strictly speaking, Julia is not a full “alternative” to MATLAB, in the sense that it’s essentially a high-level, dynamic programming language, intended for numerical computing. However, you can easily use it via the free Juno IDE. As for the language itself, it comes with a sophisticated compiler, with support for distributed parallel computing, and a large mathematical...
Source: beebom.com

Python Reviews

Top 5 Most Liked and Hated Programming Languages of 2022
No wonder Python is one of the easiest programming languages to work upon. This general-purpose programming language finds immense usage in the field of web development, machine learning applications, as well as cutting-edge technology in the software industry. The fact that Python is used by major tech giants such as Amazon, Facebook, Google, etc. is good enough proof as to...
Top 10 Rust Alternatives
This programming langue is typed statically and operates on a complied system. It works based on several computing languages Python, Ada, and Modula.
15 data science tools to consider using in 2021
Python is the most widely used programming language for data science and machine learning and one of the most popular languages overall. The Python open source project's website describes it as "an interpreted, object-oriented, high-level programming language with dynamic semantics," as well as built-in data structures and dynamic typing and binding capabilities. The site...
The 10 Best Programming Languages to Learn Today
Python's variety of applications make it a powerful and versatile language for different use cases. Python-based web development frameworks like Django and Flask are gaining popularity fast. It's also equipped with quality machine learning and data analysis tools like Scikit-learn and Pandas.
Source: ict.gov.ge
Autohotkey Alternatives and Similar Free Software
Python is very much compatible with PHP Java, and SQL. This feature makes the software a hit among novices and experts too. This software is used in several industries, and the most useful thing about Python is, it consists of web development and programming of network. This system is easier to learn because of its language. The novices like this because it uses more...

Social recommendations and mentions

Based on our record, Python should be more popular than Julia. It has been mentiond 280 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Julia mentions (114)

  • Ask HN: Does Your GitHub Repo Need a Landing Page
    I'm really not fond of that agpt landing page. So many red flags; the AI-generated background, mailing letter box with accompanying email-beggar text, the Discord button (!!!) being given as much space as the Github repo click-through... it's a mess. The whole website feels more boilerplate than content. I mean, look at these quotes! > With the help of the incredible open-source community, we’re making... - Source: Hacker News / 7 months ago
  • Why are there no ROS2 bindings for Julia(lang)?
    I’m wondering if there are any attempts for a ROS2 client library for Julia(lang)? I very much like the concepts of Julia and would like to use it in my robotics applications. I believe, that writing code in Julia is very efficient and productive. As a robotics engineer and researcher, I would definitively appreciate the possibility to use ROS2 with Julia. Source: 8 months ago
  • AskScience AMA Series: We've identified subsets of Long COVID by blood proteins, ask us anything!
    Kevin is a senior research scientist (read: fancy postdoc) at Wellesley College. He has a PhD in immunology, but transitioned to microbial genomics after graduate school, and now spends most of his time writing code (ask me about julia). His first postdoc was looking at the microbes that grow on the outer surface of cheese (it's a cool model system for studying microbial communities - here's the paper) and now... Source: 8 months ago
  • Any Good Alternatives for Matlab?
    Julia is a great alternative in terms of raw speed/performance (not a compatible language). Source: 10 months ago
  • What Apple hardware do I need for CUDA-based deep learning tasks?
    If you are really committed to running on Apple hardware then take a look at Tensorflow for macOS. Another option is the Julia programming language which has very basic Metal support at a CUDA-like level. FluxML would be the ML framework in Julia. I’m not sure either option will be painless or let you do everything you could do with a Nvidia GPU. Source: 10 months ago
View more

Python mentions (280)

  • Python String Formatting: A Comprehensive Guide to F-strings
    F-strings, introduced in Python 3.6 and later versions, provide a concise and readable way to embed expressions inside string literals. They are created by prefixing a string with the letter ‘f’ or ‘F’. Unlike traditional formatting methods like %-formatting or str.format(), F-strings offer a more straightforward and Pythonic syntax. - Source: dev.to / about 1 month ago
  • Don’t Block entire Python Thread: Use Asynchronous Programming Instead
    Import aiohttp, asyncio Async def fetch_data(i, url): print('Starting', i, url) async with aiohttp.ClientSession() as session: async with session.get(url): print('Finished', i, url) Async def main(): urls = ["https://dev.to", "https://medium.com", "https://python.org"] async_tasks = [fetch_data(i+1, url) for i, url in enumerate(urls)] await... - Source: dev.to / 3 months ago
  • A Comprehensive Guide to Python Threading: Advanced Concepts and Best Practices
    Threading involves the execution of multiple threads (smaller units of a process) concurrently, enabling better resource utilization and improved responsiveness. Python‘s threading module facilitates the creation, synchronization, and communication between threads, offering a robust foundation for building concurrent applications. - Source: dev.to / 3 months ago
  • Building Fast APIs with FastAPI: A Comprehensive Guide
    FastAPI is a modern, fast, web framework for building APIs with Python 3.7+ based on standard Python type hints. It is designed to be easy to use, fast to run, and secure. In this blog post, we’ll explore the key features of FastAPI and walk through the process of creating a simple API using this powerful framework. - Source: dev.to / 3 months ago
  • Can I become Python expert in 44 Days?
    When you have finished your thirty days, I recommend to go to the official site and read the offical python tutorial at python.org : https://docs.python.org/3/tutorial/index.html . Source: 4 months ago
View more

What are some alternatives?

When comparing Julia and Python, you can also consider the following products

GNU Octave - GNU Octave is a programming language for scientific computing.

JavaScript - Lightweight, interpreted, object-oriented language with first-class functions

MATLAB - A high-level language and interactive environment for numerical computation, visualization, and programming

Rust - A safe, concurrent, practical language

Wolfram Mathematica - Mathematica has characterized the cutting edge in specialized processing—and gave the chief calculation environment to a large number of pioneers, instructors, understudies, and others around the globe.

Java - A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible