Quickstart

This guide will help you get up and running with a few of CocoPack’s main features.

Python

Jupyter Notebook Styling

One of the most useful features is the Jupyter notebook styling and magic commands:

from cocopack.notebook import stylizer, magics

# Apply IDE-specific styling
stylizer.auto_style()

# Enable auto-reload for development
magics.set_autoreload('complete')

Presentations and Figures

Convert presentations to images and PDFs:

from cocopack.figure_ops import slides_to_images, convert_images_to_pdf

# Automatically detect file type and convert to PNG images
slides_to_images('presentation.pptx', 'output_folder',
                 filename_format='figure{:02d}.png',
                 crop_images=True,
                 margin_size='0.5cm')

# Convert to high-quality PDFs
convert_images_to_pdf('output_folder')

For specific presentation types:

from cocopack.figure_ops import keynote_to_images, powerpoint_to_images, crop_whitespace

# For Keynote presentations
keynote_to_images('presentation.key', 'output_folder')

# For PowerPoint presentations
powerpoint_to_images('presentation.pptx', 'output_folder')

# Crop whitespace around images
crop_whitespace('output_folder', margin_size='1cm')

Shell

Add to Your Shell Configuration

# Add to .bashrc or .zshrc
eval "$(cocopack prompt)"  # Prompt utilities
eval "$(cocopack ezshell)"  # Shell utilities

# Configure custom prompt
PS1='$(conda_prompt green) %F{cyan}%n@%m%f $(custom_path) %# '

Path Management

Clean up your PATH environment variable:

path_cleanup --remove-duplicates --remove-empties --apply

Colorize Output

Add color to your terminal output:

color-wrap RED "This text will be red!"
color-wrap BLUE "This text will be blue!"

R Package

The cocopack R package is available at [CocoPack-R](https://colinconwell.github.io/CocoPack-R/).

You can install this package by running the following command:

Load the Package

if (!require(pacman)) {install.packages("pacman")}
pacman::p_load_gh("colinconwell/Coco-Pack-R")

Cocopack-R convenience functions include:

cocopack_r::get_data("iris")
cocopack_r::plot_histogram("iris$Sepal.Length")
cocopack_r::fit_lm("iris$Sepal.Length ~ iris$Sepal.Width")