Compare the Top Programming Languages that integrate with Shakker as of November 2024

This a list of Programming Languages that integrate with Shakker. Use the filters on the left to add additional filters for products that have integrations with Shakker. View the products that work with Shakker in the table below.

What are Programming Languages for Shakker?

Programming languages are a set of rules that form a language that programmers and developers can use to write software, applications, web apps, mobile apps, scripts, and more. Compare and read user reviews of the best Programming Languages for Shakker currently available using the table below. This list is updated regularly.

  • 1
    Python

    Python

    Python

    The core of extensible programming is defining functions. Python allows mandatory and optional arguments, keyword arguments, and even arbitrary argument lists. Whether you're new to programming or an experienced developer, it's easy to learn and use Python. Python can be easy to pick up whether you're a first-time programmer or you're experienced with other languages. The following pages are a useful first step to get on your way to writing programs with Python! The community hosts conferences and meetups to collaborate on code, and much more. Python's documentation will help you along the way, and the mailing lists will keep you in touch. The Python Package Index (PyPI) hosts thousands of third-party modules for Python. Both Python's standard library and the community-contributed modules allow for endless possibilities.
    Starting Price: Free
  • 2
    R

    R

    The R Foundation

    R is a language and environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. R can be considered as a different implementation of S. There are some important differences, but much code written for S runs unaltered under R. 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. The S language is often the vehicle of choice for research in statistical methodology, and R provides an Open Source route to participation in that activity. One of R’s strengths is the ease with which well-designed publication-quality plots can be produced, including mathematical symbols and formulae where needed.
    Starting Price: Free
  • 3
    Markdown

    Markdown

    Markdown

    Markdown allows you to write using an easy-to-read, easy-to-write plain text format, then convert it to structurally valid XHTML (or HTML). Thus, “Markdown” is two things: (1) a plain text formatting syntax; and (2) a software tool, written in Perl, that converts the plain text formatting to HTML. See the Syntax page for details pertaining to Markdown’s formatting syntax. You can try it out, right now, using the online Dingus. The overriding design goal for Markdown’s formatting syntax is to make it as readable as possible. The idea is that a Markdown-formatted document should be publishable as-is, as plain text, without looking like it’s been marked up with tags or formatting instructions. While Markdown’s syntax has been influenced by several existing text-to-HTML filters, the single biggest source of inspiration for Markdown’s syntax is the format of plain text email.
    Starting Price: Free
  • 4
    SQL

    SQL

    SQL

    SQL is a domain-specific programming language used for accessing, managing, and manipulating relational databases and relational database management systems.
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