Module 4 - Jupyter Notebooks

Virtual Environment

An isolated workspace for a Python project that keeps dependencies separate to avoid conflicts

python -m venv myenv

Command to create a virtual environment named 'myenv'

pip freeze > requirements.txt

Command to save installed packages and versions to a text file

pip install -r requirements.txt

Command to install all dependencies listed in a requirements file

Jupyter Notebook

Interactive computing environment combining live code

.ipynb

The file extension for Jupyter Notebooks (IPython Notebook)

Markdown

Lightweight markup language used in Jupyter for text formatting and documentation

Shift+Enter

Jupyter shortcut to run the current cell and move to the next one

NumPy

Fundamental package for scientific computing in Python offering fast array operations

np.array(list)

Function to convert a standard Python list into a NumPy array

Vectorized operations

Applying operations to an entire array at once without using loops

np.arange(start

stop

np.linspace(start

stop

arr.shape

NumPy property that returns the dimensions (rows

arr.ndim

NumPy property that returns the number of dimensions of an array

Broadcasting

NumPy mechanism allowing arithmetic operations on arrays of different shapes

Matplotlib

The standard plotting library in Python for creating static

plt.plot(x

y)

plt.scatter(x

y)

plt.hist(x)

Matplotlib command to create a histogram to visualize data distribution

%time

Line magic command to measure the execution time of a single line

%%time

Cell magic command to measure the execution time of an entire cel