Lesson Material

By Topic

Projects

• Cartography and Mapping in Python

Python

• April Deep Learning Newsletter@Toronto Machine Learning Circles
• CPU Multiprocessing in Python
• Cartography and Mapping in Python
• Creating Packages in Python
• Debugging in Python
• Image Processing in Python
• Intermediate Topics in Python
• Intro to NLP
• Intro to Pandas DataFrames
• Intro to Python
• Introduction to Classes in Python
• Introduction to data analysis in Python
• Large Datasets in Python
• Machine Learning with scikit-learn
• Pandas for data analysis
• Plotting in Python
• Unit Testing in Python

R

• Data wrangling with dplyr and magrittr
• High Performance Loops in R
• Intermediate topics in R: Strings and factors
• Introduction to Machine Learning in R
• Introduction to R
• Introduction to ggplot2
• Making interactive plots using Shiny in R
• Making packages in R using devtools
• RStudio Debugging
• Resampling techniques in R: bootstrapping and permutation testing

Git

• (Brief) Introduction to Git + GitHub
• An Intermediate Look at Git + GitHub
• Collaborating on GitHub
• Continuous integration on GitHub
• Using branches in Git

Misc

• Careers Outside Academia
• Code Review Overview
• Intro to Inkscape for graphic design
• Intro to LaTeX
• Intro to Pandoc and Markdown
• Intro to web development with HTML/CSS/JS
• Introduction to Bash
• Introduction to Databases and SQL
• Introduction to Quantum Computing
• Introduction to Ruby
• Opening up your data
• RESTful Web Services in Science
• Web design with Jekyll/GitHub Pages

By Level

Beginner

• (Brief) Introduction to Git + GitHub
• Code Review Overview
• Collaborating on GitHub
• High Performance Loops in R
• Intro to Inkscape for graphic design
• Intro to LaTeX
• Intro to Pandas DataFrames
• Intro to Pandoc and Markdown
• Intro to Python
• Intro to web development with HTML/CSS/JS
• Introduction to Bash
• Introduction to Databases and SQL
• Introduction to Quantum Computing
• Introduction to R
• Introduction to Ruby
• Introduction to data analysis in Python
• Opening up your data
• Pandas for data analysis
• Plotting in Python
• Web design with Jekyll/GitHub Pages

Intermediate

• CPU Multiprocessing in Python
• Cartography and Mapping in Python
• Cartography and Mapping in Python
• Continuous integration on GitHub
• Data wrangling with dplyr and magrittr
• Debugging in Python
• Image Processing in Python
• Intermediate Topics in Python
• Intermediate topics in R: Strings and factors
• Intro to NLP
• Introduction to Classes in Python
• Introduction to Machine Learning in R
• Introduction to ggplot2
• Large Datasets in Python
• Machine Learning with scikit-learn
• Making packages in R using devtools
• RESTful Web Services in Science
• RStudio Debugging
• Resampling techniques in R: bootstrapping and permutation testing
• Using branches in Git

Advanced

• An Intermediate Look at Git + GitHub
• Creating Packages in Python
• Making interactive plots using Shiny in R
• Unit Testing in Python