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Working with this repository assumes prior experience with: Working with this repository assumes prior experience with:
- **Git, Bash, and standard Unix command-line tools**. These are used - *Git, Bash, and standard Unix command-line tools*. These are used
throughout and are required for setup and day-to-day tasks. throughout and are required for setup and day-to-day tasks.
Tools such as [[https://man.archlinux.org/man/rg.1][ripgrep]], [[https://www.gnu.org/software/bash/][GNU Bash]], and [[https://en.wikipedia.org/wiki/Grep][grep/regex workflows]] are assumed. Tools such as [[https://man.archlinux.org/man/rg.1][ripgrep]], [[https://www.gnu.org/software/bash/][GNU Bash]], and [[https://en.wikipedia.org/wiki/Grep][grep/regex workflows]] are assumed.
- **At least one supported programming language**, such as C, C++, Java, - *At least one supported programming language*, such as C, C++, Java,
Python, Go, or Ruby. A solid understanding of the target language is Python, Go, or Ruby. A solid understanding of the target language is
necessary to interpret analysis results and write effective queries. necessary to interpret analysis results and write effective queries.
See general background on [[https://en.wikipedia.org/wiki/Programming_language][programming languages]] if needed. See general background on [[https://en.wikipedia.org/wiki/Programming_language][programming languages]] if needed.
- **Basic familiarity with program structure concepts**, including - *Basic familiarity with program structure concepts*, including
[[https://en.wikipedia.org/wiki/Abstract_syntax_tree][abstract syntax trees (ASTs)]], [[https://en.wikipedia.org/wiki/Control-flow_graph][control-flow graphs (CFGs)]], and [[https://en.wikipedia.org/wiki/Abstract_syntax_tree][abstract syntax trees (ASTs)]], [[https://en.wikipedia.org/wiki/Control-flow_graph][control-flow graphs (CFGs)]], and
[[https://en.wikipedia.org/wiki/Data-flow_analysis][data-flow graphs (DFGs)]]. These are core to how CodeQL models code behavior. [[https://en.wikipedia.org/wiki/Data-flow_analysis][data-flow graphs (DFGs)]]. These are core to how CodeQL models code behavior.
- **Optional but helpful**: familiarity with structural or functional - *Optional but helpful*: familiarity with structural or functional
programming languages (e.g. [[https://en.wikipedia.org/wiki/Lisp_(programming_language)][Lisp]] or [[https://en.wikipedia.org/wiki/OCaml][OCaml]]) can make working with programming languages (e.g. [[https://en.wikipedia.org/wiki/Lisp_(programming_language)][Lisp]] or [[https://en.wikipedia.org/wiki/OCaml][OCaml]]) can make working with
CodeQL’s query language and type system more intuitive. CodeQL’s query language and type system more intuitive.
See overview of [[https://en.wikipedia.org/wiki/Functional_programming][functional programming]] for related context. See overview of [[https://en.wikipedia.org/wiki/Functional_programming][functional programming]] for related context.