https://github.com/nitya/byte-size-python
Notes and code from working through Byte Size Python with AJ | Goal is to do these in Jupyter Notebooks
https://github.com/nitya/byte-size-python
Last synced: 5 months ago
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Notes and code from working through Byte Size Python with AJ | Goal is to do these in Jupyter Notebooks
- Host: GitHub
- URL: https://github.com/nitya/byte-size-python
- Owner: nitya
- License: mit
- Created: 2020-08-16T14:41:41.000Z (almost 5 years ago)
- Default Branch: main
- Last Pushed: 2020-08-23T15:23:46.000Z (almost 5 years ago)
- Last Synced: 2024-12-17T09:06:38.055Z (6 months ago)
- Language: Jupyter Notebook
- Size: 9.77 KB
- Stars: 4
- Watchers: 3
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Byte-Size Python
Notes and code from working through [Byte Size Python with the 11yo](https://www.amazon.com/Bite-Size-Python-Introduction-Programming/dp/1119643813) | Goal is to do these in [Jupyter Notebooks](https://jupyter.org/)
## Projects
These are the projects in the book. Each project is being created in it's own Notebook.
* (Ch 4) Meet Your Classmates
* (Ch 5) Shopping for Science Fair Supplies
* (Ch 6) Mad Libs Generator
* (Ch 7) What to Wear
* (Ch 9) Find the Green Marble
* (Ch 10) Kickball teams
* (Ch 11) Customer Service Bot
* (Ch 12) School Musical Signups
---
## Chapter 1: What is Python
Just set up Jupyter Notebook to capture notes and do interactive learning/testing.
Installed Ananconda and am using Jupyter at commandline as follows (using the first notebook as example)
```
jupyter notebook 1-Beginner-Python.ipynb
```
I have the GitHub repo cloned to my desktop and start the Jupyter server here, which launches a local webserver (localhost:8888) and opens the notebook in my default browser.
Changes made to the notebooks can now be committed to the GitHub repo directly.
---
## Chapter 2: Install Python
First we document our environments (NN | AJ). We both use MacOS for our development environment.
* Python (3.8.3 | 3.6.0)
* VS Code (1.47.3 | 1.43.2)
* Anaconda (1.9.12 )
* Jupyter Notebook (6.0.3)
---
## Chapter 3: IDLE
* Book recommends IDLE.
* We chose to use Jupyter notebooks and VS Code + Commandline (conda) environments interchangeably for our learning.
---
## Chapter 4: Variables
We learn about variables, variable names and data types supported in Python. We also learned to print variable values. And update variables.
Variables are containers for data. The variable name can then be used to represent the data at any place in the code - making the code easier to read.
We also experimented with printing things out, and learned that there are simple data types (integer, string, float, boolean) that store a single value and complex data types (list, set etc.) that can store a collection of values.
We also learned about the `input` method which allows you to get input from the user via the commandline, and assign the value to a variable.
We also explored the `title` method which can work on strings to capitalize the first character. This was useful for the first project!
> Checkpoints Completed | pgs. 26, 28, 30
> Project Completed | pg. 30
> Notebooks | [1-Beginner-Python](./1-Beginner-Python.ipynb), [2-Project-MeetYourClassmates](./2-Project_MeetYourClassmates.ipynb)
---
## Chapter 5: Numbers
> Checkpoints Completed | pgs.
> Project Completed | pg.
---
## Chapter 6: Strings
> Checkpoints Completed | pgs.
> Project Completed | pg.
---
## Chapter 7: Conditionals & Control Flow
> Checkpoints Completed | pgs.
> Project Completed | pg.
---
## Chapter 8: Lists
> Checkpoints Completed | pgs.
> Project Completed | pg.