Jupyter language kernels

This code snippet installs and configures a Bash kernel for Jupyter Notebook, enabling users to run Bash commands within their notebooks.

This code installs and configures the IPython kernel for Python 2, enabling users to run Python code in Jupyter Notebook.

This code snippet provides instructions for setting up and installing the icsharp project on a Mac, requiring the user to first install Mono and then clone, build, and install the project using provided scripts.

This code breakdown lists four commands for navigating and running scripts in a Unix-like system, including changing directories, compiling C# code, running the Bash shell, and executing a shell script named build.sh. The commands assume a Unix-like system, such as Linux or macOS, and that the build.sh script is executable and located in the same directory.

The grep command-line utility is used to search for strings, with options such as -r for recursive search, / for file path separation, and --e/-e for specifying a search pattern. In this case, it searches for files containing the string 'xunit.runners'.

This code sets up a Ruby development environment with a specific Ruby version (2.4.1) using rbenv and Homebrew, including dependencies for building extensions and tools for working with ZeroMQ.

This code installs Jupyter Notebook and JupyterLab, enabling Python kernel support and configuring them for use.

To install TypeScript, you need to have Node.js and npm installed on your system, and then run the command npm install -g typescript to install the TypeScript compiler globally. To verify the installation, run the command tsc -v to check the version number of the installed TypeScript compiler.

To install Istanbul TypeScript, run the command npm install -g itypescript in your terminal, which installs the package globally on your system. This command uses Node Package Manager (npm) to install the itypescript package, a TypeScript plugin for Istanbul code coverage reporting.