This is a short introductory training session on the use of R in data science.
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Category: Tutorials
Excellent Free Tutorials to Learn LaTeX
LaTeX is a professional document preparation system and document markup language written by Leslie Lamport. It’s a very mature system with development starting more than 30 years ago. Here’s our recommended tutorials to learn LaTeX.
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Excellent Free Tutorials to Learn CoffeeScript
CoffeeScript is a very succinct programming language that transcompiles into JavaScript, so there is no interpretation at runtime.
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Excellent Free Tutorials to Learn BASIC
BASIC (Beginner’s All-purpose Symbolic Instruction Code) is a family of general-purpose, high-level programming languages whose design philosophy emphasizes ease of use. Here’s our recommended free tutorials to learn BASIC.
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Excellent Free Tutorials to Learn Racket
Racket is a general-purpose, object-oriented, multi-paradigm, functional, imperative, logic based programming language based on the Scheme dialect of Lisp.
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Excellent Free Tutorials to Learn Awk
Awk is small, fast, simple, and has a clean comprehensible C-like input language. It has robust programming constructs. Here’s our recommended tutorials.
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Excellent Free Tutorials to Learn OCaml
The OCaml system is the main implementation of the Caml language. It has a very strong type-checking system, offers a powerful module system, and more. Here’s good OCaml tutorials.
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Excellent Free Tutorials to Learn VimL
VimL is a powerful scripting language of the Vim editor. You can use this dynamic, imperative language to design new tools, automate tasks, and more. Here’s some helpful guides to help you master VimL
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Excellent Free Tutorials to Learn Erlang
Erlang is dynamically typed and has a pattern matching syntax. The language solves difficult problems inherent in parallel, concurrent environments. Here’s our recommended tutorials to learn Erlang.
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Excellent Free Tutorials to Learn SQL
Structured Query Language (SQL) is a specialized programming language originally developed by IBM in the early 1970s. Here’s our recommended tutorials to master SQL.
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