What are Magic Commands?
Magic commands are special commands in Jupyter Notebook, and they are denoted with either a single % or %%. Here the commands with % are for line-level commands. The commands with %% are for cell-level commands or multi-line level code. These magic commands help us to perform a wide range of tasks that go beyond standard Python capabilities. Magic commands are like shortcuts that can make complex operations simple and easy to understand, they make our notebook more productive and efficient.
Type of Magic Commands
Magic commands in Jupyter Notebook are divided into two categories i.e. Line Magic Commands and Cell Magic Commands. By the names, we can understand that the line magic commands will start with % and the cell magic commands will start with %% as we’ve already discussed before as well.
Line Magic Commands: These are used to operate on a single line of code. For example: %timeit, %memit, %load, %reset, %who and etc.
Cell Magic Commands: These affect the entire cell. For example: %%time, %%writefile, %%html, %%latex, %%bash and etc.
How to Use the Magic Commands
Making use of the magic commands in Jupyter Notebook is quite straightforward. We just simply prefix our code with the appropriate magic command, and Jupyter Notebook takes care of the rest. These commands can be utilized for a bunch of different tasks, such as measuring code execution time, profiling memory usage, debugging, and more.
Magic Commands for Profiling in Jupyter Notebook
Jupyter Notebook is a versatile tool or IDE widely used mostly by data scientists, researchers, and programmers for interactive computing and data analysis, dashboards, and visualizations. It offers a unique and rich set of features. Some topics are there it can perform such as: running the code in different languages, timing the code execution, debugging the code, and profiling. We’ll discuss the commands that work like magic for profiling in Jupyter Notebook. Magic Commands are the special commands in Jupyter Notebook that either start with the ‘% ‘ or ‘%% ‘ sign and perform different operations and tasks. Profiling helps in identifying bottlenecks, optimizing code, and improving overall performance. So, let’s explore the world of magic commands in Jupyter Notebook, specifically designed for profiling our Python code. Before we jump into it, we first need to understand some of the key concepts that we should know about profiling in Jupyter Notebook. So, what actually profiling is in Jupyter Notebook?