Intro to Computer Science (Python)

_{Dan Grecoe - A Microsoft Employee}

This repo was put together for my first teaching experience with Teals with Mr. Norton from Essex North Shore.

This repository is meant to help beginner Computer Science students with Python.

Contents

Name	Type	Content
0_python	Directory	Introduction to basic Python programming structures and general programming.
1_practice	Directory	Some practice scripts for topics covered in 0_python.
2_student_programs	Directory	Programs to help the student hone their knowledge of concepts learned in the classroom.
3_example_programs	Directory	Contains example programs using concepts covered in class. Other programs are added for the student to learn if they choose to.
4_advanced	Directory	Advanced Python toopics that are not covered in the intro class, but can be useful for more advanced students (or for when I forget how to do something!).
5_presentations	Directory	Presentations prepared for classes.
6_deep_projects	Directory	Advanced command line program applications and the supporting files to implement them.
7_testing	Directory	Automated testing application for Python files as a teaching aide for automated testing.
README.md	file	This file you are reading right now.

Getting code locally

1. Create a directory on your computer. Name it anything you want, but make sure you remember it.
2. Open a command prompt, bash, or Powershell.
3. Use the change directory (cd) command to point to the directory you created.
   • Example: cd c:\teals
4. Issue the following command in whatever prompt you used to create the directory.
   • git clone https://github.com/grecoe/teals.git

Updating code locally

1. Go to the directory you cloned the repo on the command line.
2. Type the command git pull

Using this repository

This repository attempts to organize the learning of the Python programming language.

Starting in 0_python, students can learn the basic building blocks of the language.

Prerequisites

To make use of this repository it is recommended that the students have the ability to run the Python code on their own machines. It is possible, of course, to use online Python tools as well, but having the code locally means you can work on your Python skills without having to have any external connection.

1. Install Python 3.5 or higher
2. Install Visual Studio Code (NOTE: This will run on Windows, Mac or Linux)
3. Clone this repository to your local machine. Note the directory in which the code is downloaded to.
4. Open Visual Studio Code and from the file menu, select Open Folder choosing the folder in which you downloaded this repository to.

Running the code

In Visual Studio Code you will have a list of files to the left and two panes on the right. The top pane being the code (or whatever) file you are looking at, the bottom having a multi tabbed view with one of them being the terminal.

Change a directory and run a file by typing in the terminal window

cd 0_python
python 00_parameters.py

To vew the conents of the file, navigate to teh file in the left pane.