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Python

246K
200.8K
+ 1
6.9K
Stan

64
27
+ 1
0
YAML

485
280
+ 1
0
Manage your open source components, licenses, and vulnerabilities
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Pros of Python
Pros of Stan
Pros of YAML
  • 1.2K
    Great libraries
  • 964
    Readable code
  • 847
    Beautiful code
  • 788
    Rapid development
  • 691
    Large community
  • 438
    Open source
  • 393
    Elegant
  • 282
    Great community
  • 273
    Object oriented
  • 221
    Dynamic typing
  • 77
    Great standard library
  • 60
    Very fast
  • 55
    Functional programming
  • 51
    Easy to learn
  • 46
    Scientific computing
  • 35
    Great documentation
  • 29
    Productivity
  • 28
    Easy to read
  • 28
    Matlab alternative
  • 24
    Simple is better than complex
  • 20
    It's the way I think
  • 19
    Imperative
  • 18
    Very programmer and non-programmer friendly
  • 18
    Free
  • 17
    Powerfull language
  • 17
    Machine learning support
  • 16
    Fast and simple
  • 14
    Scripting
  • 12
    Explicit is better than implicit
  • 11
    Ease of development
  • 10
    Clear and easy and powerfull
  • 9
    Unlimited power
  • 8
    Import antigravity
  • 8
    It's lean and fun to code
  • 7
    Print "life is short, use python"
  • 7
    Python has great libraries for data processing
  • 6
    Rapid Prototyping
  • 6
    Readability counts
  • 6
    Now is better than never
  • 6
    Great for tooling
  • 6
    Flat is better than nested
  • 6
    Although practicality beats purity
  • 6
    I love snakes
  • 6
    High Documented language
  • 6
    There should be one-- and preferably only one --obvious
  • 6
    Fast coding and good for competitions
  • 5
    Web scraping
  • 5
    Lists, tuples, dictionaries
  • 5
    Great for analytics
  • 4
    Easy to setup and run smooth
  • 4
    Easy to learn and use
  • 4
    Plotting
  • 4
    Beautiful is better than ugly
  • 4
    Multiple Inheritence
  • 4
    Socially engaged community
  • 4
    Complex is better than complicated
  • 4
    CG industry needs
  • 4
    Simple and easy to learn
  • 3
    It is Very easy , simple and will you be love programmi
  • 3
    Flexible and easy
  • 3
    Many types of collections
  • 3
    If the implementation is easy to explain, it may be a g
  • 3
    If the implementation is hard to explain, it's a bad id
  • 3
    Special cases aren't special enough to break the rules
  • 3
    Pip install everything
  • 3
    List comprehensions
  • 3
    No cruft
  • 3
    Generators
  • 3
    Import this
  • 3
    Powerful language for AI
  • 2
    Can understand easily who are new to programming
  • 2
    Should START with this but not STICK with This
  • 2
    A-to-Z
  • 2
    Because of Netflix
  • 2
    Only one way to do it
  • 2
    Better outcome
  • 2
    Batteries included
  • 2
    Good for hacking
  • 2
    Securit
  • 1
    Procedural programming
  • 1
    Best friend for NLP
  • 1
    Slow
  • 1
    Automation friendly
  • 1
    Sexy af
  • 0
    Ni
  • 0
    Keep it simple
  • 0
    Powerful
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      Cons of Python
      Cons of Stan
      Cons of YAML
      • 53
        Still divided between python 2 and python 3
      • 28
        Performance impact
      • 26
        Poor syntax for anonymous functions
      • 22
        GIL
      • 19
        Package management is a mess
      • 14
        Too imperative-oriented
      • 12
        Hard to understand
      • 12
        Dynamic typing
      • 12
        Very slow
      • 8
        Indentations matter a lot
      • 8
        Not everything is expression
      • 7
        Incredibly slow
      • 7
        Explicit self parameter in methods
      • 6
        Requires C functions for dynamic modules
      • 6
        Poor DSL capabilities
      • 6
        No anonymous functions
      • 5
        Fake object-oriented programming
      • 5
        Threading
      • 5
        The "lisp style" whitespaces
      • 5
        Official documentation is unclear.
      • 5
        Hard to obfuscate
      • 5
        Circular import
      • 4
        Lack of Syntax Sugar leads to "the pyramid of doom"
      • 4
        The benevolent-dictator-for-life quit
      • 4
        Not suitable for autocomplete
      • 2
        Meta classes
      • 1
        Training wheels (forced indentation)
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          3.4K
          62.4K
          2.2M
          263
          419
          269
          1
          - No public GitHub repository available -

          What is Python?

          Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best.

          What is Stan?

          A state-of-the-art platform for statistical modeling and high-performance statistical computation. Used for statistical modeling, data analysis, and prediction in the social, biological, and physical sciences, engineering, and business.

          What is YAML?

          A human-readable data-serialization language. It is commonly used for configuration files, but could be used in many applications where data is being stored or transmitted.

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          What companies use Python?
          What companies use Stan?
          What companies use YAML?

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          What tools integrate with Python?
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          Blog Posts

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          What are some alternatives to Python, Stan, and YAML?
          Java
          Java is a programming language and computing platform first released by Sun Microsystems in 1995. There are lots of applications and websites that will not work unless you have Java installed, and more are created every day. Java is fast, secure, and reliable. From laptops to datacenters, game consoles to scientific supercomputers, cell phones to the Internet, Java is everywhere!
          R Language
          R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, ...) and graphical techniques, and is highly extensible.
          JavaScript
          JavaScript is most known as the scripting language for Web pages, but used in many non-browser environments as well such as node.js or Apache CouchDB. It is a prototype-based, multi-paradigm scripting language that is dynamic,and supports object-oriented, imperative, and functional programming styles.
          Scala
          Scala is an acronym for “Scalable Language”. This means that Scala grows with you. You can play with it by typing one-line expressions and observing the results. But you can also rely on it for large mission critical systems, as many companies, including Twitter, LinkedIn, or Intel do. To some, Scala feels like a scripting language. Its syntax is concise and low ceremony; its types get out of the way because the compiler can infer them.
          Anaconda
          A free and open-source distribution of the Python and R programming languages for scientific computing, that aims to simplify package management and deployment. Package versions are managed by the package management system conda.
          See all alternatives