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Learning Python

Setup Canvas on Jupyter Lab

Learning Python

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Course Description
About Learning Python
Chapters
Chapters
- List of Chapters
- 1. Welcome to Python and Skulpt
  1. Welcome to Python and Skulpt
- 2. Python Code Structure
  2. Python Code Structure
- 3. Variables and Numbers
  3. Variables and Numbers
- 4. Functions and Objects
  4. Functions and Objects
- 5. Drawing with Turtle Graphics
  5. Drawing with Turtle Graphics
- 6. Math and Arithmetic
  6. Math and Arithmetic
- 7. For Loops and Drawing Shapes
  7. For Loops and Drawing Shapes
- 8. Working with Strings
  8. Working with Strings
- 9. Making Decisions with If/Else
  9. Making Decisions with If/Else
- 10. While Loops and Animation
  10. While Loops and Animation
- 11. Functions with Parameters and Scope
  11. Functions with Parameters and Scope
- 12. Colors, Fill, and Turtle Art
  12. Colors, Fill, and Turtle Art
- 13. User Input and Type Conversion
  13. User Input and Type Conversion
- 14. String Methods and Formatting
  14. String Methods and Formatting
- 15. Lists - Basics
  15. Lists - Basics
- 16. Lists - Methods and Patterns
  16. Lists - Methods and Patterns
- 17. Modules and Random Numbers
  17. Modules and Random Numbers
- 18. Math Module and Turtle Projects
  18. Math Module and Turtle Projects
- 19. More Booleans and Conditionals
  19. More Booleans and Conditionals
- 20. Tuples and Sets
  20. Tuples and Sets
- 21. Dictionaries
  21. Dictionaries
- 22. Advanced Collections and Built-in Functions
  22. Advanced Collections and Built-in Functions
- 23. Error Handling and Debugging
  23. Error Handling and Debugging
- 24. Recursion and Fractals
  24. Recursion and Fractals
- 25. Object-Oriented Programming
  25. Object-Oriented Programming
- 26. File Input and Output
  26. File Input and Output
- 27. Standard Library and JSON
  27. Standard Library and JSON
- 28. Python Development Tools
  28. Python Development Tools
- 29. Text Processing and Regular Expressions
  29. Text Processing and Regular Expressions
- 30. Algorithms and Data Structures
  30. Algorithms and Data Structures
- 31. Advanced Functions and OOP
  31. Advanced Functions and OOP
- 32. Data Visualization with matplotlib
  32. Data Visualization with matplotlib
- 33. NumPy and Scientific Computing
  33. NumPy and Scientific Computing
- 34. Image Processing with Pillow
  34. Image Processing with Pillow
- 35. Advanced Turtle and Event-Driven Programming
  35. Advanced Turtle and Event-Driven Programming
- 36. Computational Thinking and Best Practices
  36. Computational Thinking and Best Practices
- 37. Machine Learning Foundations
  37. Machine Learning Foundations
- 38. Neural Networks and MNIST
  38. Neural Networks and MNIST
Python Labs
Python Labs
Turtle Graphics Gallery
Turtle Graphics Gallery
Jupyter Notebooks
Jupyter Notebooks
- List of Notebooks
- Setup Turtle on Jupyter
- Drawing Figure
- Setup Canvas on Jupyter Lab Setup Canvas on Jupyter Lab
  Table of contents
- Canvas Color Bars
Advanced Python Examples
Advanced Python Examples
- Stock Ticker Analysis
- MNIST Digit Prediction
Trinket Labs (deprecated)
Trinket Labs (deprecated)
Learning Graph
Learning Graph
MicroSims
MicroSims
Teacher's Guide
Teacher's Guide
- Overview
- How to Contribute Examples
- Adding Custom Python Labs
- The Run ⇄ Pause Button
- CodeMirror Editor Example
- Order of Concepts
- Comparing Textbooks
- Sample Prompts
  Sample Prompts
Glossary
FAQ
References
License
Contact

Setup Canvas on Jupyter Lab

We will be using python canvas drawing library. Unlike turtle graphics the canvas library has many powerful drawing tools.

Python IPYCanvas Library

Jupyter Lab¶

We will be running this library from within a Jypyter lab.

Steps¶

Install conda Create a new conda environment Install Jupyter lab Start up Jupyter Test Canvas

Setup With Conda¶

conda env list
conda create -n turtle python=3.6
conda activate turtle
juypter lab

After you run the last command it will open a web browser.

References¶

Conda Documentation