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C

5.3K
3.6K
+ 1
230
Julia

336
462
+ 1
110
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C vs Julia: What are the differences?

What is C? One of the most widely used programming languages of all time. .

What is Julia? A high-level, high-performance dynamic programming language for technical computing. Julia is a high-level, high-performance dynamic programming language for technical computing, with syntax that is familiar to users of other technical computing environments. It provides a sophisticated compiler, distributed parallel execution, numerical accuracy, and an extensive mathematical function library.

C and Julia belong to "Languages" category of the tech stack.

"Performance" is the top reason why over 52 developers like C, while over 7 developers mention "Lisp-like Macros" as the leading cause for choosing Julia.

Julia is an open source tool with 22.7K GitHub stars and 3.43K GitHub forks. Here's a link to Julia's open source repository on GitHub.

Twitch, AdRoll, and Redis Labs are some of the popular companies that use C, whereas Julia is used by inFeedo, Platform Project, and N26. C has a broader approval, being mentioned in 64 company stacks & 251 developers stacks; compared to Julia, which is listed in 5 company stacks and 5 developer stacks.

Decisions about C and Julia

Python has become the most popular language for machine learning right now since almost all machine learning tools provide service for this language, and it is really to use since it has many build-in objects like Hashtable. In C, you need to implement everything by yourself.

C++ is one of the most popular programming languages in graphics. It has many fancy libraries like eigen to help us process matrix. I have many previous projects about graphics based on C++ and this time, we also need to deal with graphics since we need to analyze movements of the human body. C++ has much more advantages than Java. C++ uses only compiler, whereas Java uses compiler and interpreter in both. C++ supports both operator overloading and method overloading whereas Java only supports method overloading. C++ supports manual object management with the help of new and delete keywords whereas Java has built-in automatic garbage collection.

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Alexander Nozik
Senior researcher at MIPT | 3 upvotes 路 46.4K views
Migrated
from
Julia
to
Kotlin

After writing a project in Julia we decided to stick with Kotlin. Julia is a nice language and has superb REPL support, but poor tooling and the lack of reproducibility of the program runs makes it too expensive to work with. Kotlin on the other hand now has nice Jupyter support, which mostly covers REPL requirements.

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Russtopia Labs
Sr. Doodad Imagineer at Russtopia Labs | 0 upvote 路 61.7K views
Chose
Go
over
C++
C

As a personal research project I wanted to add post-quantum crypto KEM (key encapsulation) algorithms and new symmetric crypto session algorithms to openssh. I found the openssh code and its channel/context management extremely complex.

Concurrently, I was learning Go. It occurred to me that Go's excellent standard library, including crypto libraries, plus its much safer memory model and string/buffer handling would be better suited to a secure remote shell solution. So I started from scratch, writing a clean-room Go-based solution, without regard for ssh compatibility. Interactive and token-based login, secure copy and tunnels.

Of course, it needs a proper security audit for side channel attacks, protocol vulnerabilities and so on -- but I was impressed by how much simpler a client-server application with crypto and complex terminal handling was in Go.

$ sloc openssh-portable 
  Languages  Files    Code  Comment  Blank   Total  CodeLns
      Total    502  112982    14327  15705  143014   100.0%
          C    389  105938    13349  14416  133703    93.5%
      Shell     92    6118      937   1129    8184     5.7%
       Make     16     468       37    131     636     0.4%
        AWK      1     363        0      7     370     0.3%
        C++      3      79        4     18     101     0.1%
       Conf      1      16        0      4      20     0.0%
$ sloc xs
  Languages  Files  Code  Comment  Blank  Total  CodeLns
      Total     34  3658     1231    655   5544   100.0%
         Go     19  3230     1199    507   4936    89.0%
   Markdown      2   181        0     76    257     4.6%
       Make      7   148        4     50    202     3.6%
       YAML      1    39        0      5     44     0.8%
       Text      1    30        0      7     37     0.7%
     Modula      1    16        0      2     18     0.3%
      Shell      3    14       28      8     50     0.9%

https://gogs.blitter.com/RLabs/xs

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Pros of C
Pros of Julia
  • 64
    Performance
  • 45
    Low-level
  • 33
    Portability
  • 28
    Hardware level
  • 18
    Embedded apps
  • 12
    Pure
  • 9
    Performance of assembler
  • 7
    Ubiquity
  • 4
    Great for embedded
  • 4
    Old
  • 2
    OpenMP
  • 2
    No garbage collection to slow it down
  • 2
    Compiles quickly
  • 17
    Designed for parallelism and distributed computation
  • 15
    Fast Performance and Easy Experimentation
  • 13
    Free and Open Source
  • 12
    Multiple Dispatch
  • 11
    Lisp-like Macros
  • 11
    Calling C functions directly
  • 11
    Dynamic Type System
  • 8
    Powerful Shell-like Capabilities
  • 4
    Jupyter notebook integration
  • 4
    REPL
  • 2
    Emojis as variable names
  • 2
    String handling

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Cons of C
Cons of Julia
  • 5
    Low-level
  • 3
    No built in support for concurrency
  • 2
    Lack of type safety
  • 2
    No built in support for parallelism (e.g. map-reduce)
  • 5
    Immature library management system
  • 3
    Slow program start
  • 3
    Poor backwards compatibility
  • 2
    JIT compiler is very slow
  • 2
    Bad tooling
  • 2
    No static compilation

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What is C?

What is Julia?

Julia is a high-level, high-performance dynamic programming language for technical computing, with syntax that is familiar to users of other technical computing environments. It provides a sophisticated compiler, distributed parallel execution, numerical accuracy, and an extensive mathematical function library.

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What companies use C?
What companies use Julia?
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What tools integrate with Julia?

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What are some alternatives to C and Julia?
Java
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Python
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Rust
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