Table for Magic commands
|
Magic commands |
Short Descriptions |
|---|---|
|
%timeit |
Measure execution time of a single line of code |
|
%memit |
Profile memory usage of a single line of code |
|
%prun |
Profile code execution using Python’s profiler |
|
%%time |
Measure execution time of an entire cell |
|
%%writefile |
Write the contents of a cell to a file |
|
%%html |
Render the cell as HTML |
|
%%latex |
Render the cell as LaTeX |
|
%%bash |
Run cell contents as a Bash script |
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?