Code Clinic: Python

Course details

Successful programmers know more than just how to code. They also know how to think about solving problems. Code Clinic is a series of courses where our instructors solve the same problems using different programming languages. Here, Barron Stone works with Python. Barron introduces challenges and provides an overview of his solutions in Python. Challenges include topics such as statistical analysis and accessing peripheral devices.

Concepts

Introduction

Welcome
Getting the most from Code Clinic

Problem 1 - Weather Statistics

Intro - The weather at Pond Oreille
Solution overview - Weather statistics
Importing data with the CSV module
Loading data into NumPy arrays
Embedding matplotlib into Tkinter
Plotting results with matplotlib

Problem 2 - Where Am I

Intro - Where am I
Geolocation using simple IP lookup
Geolocation using Google Maps API
Getting a Google Maps API key
Determining nearby Wi-Fi access points
Making a POST with requests

Problem 3 - Eight Queens

Intro - Eight queens
Solution overview - Eight queens
Understanding permutations
Finding solutions using permutations
Drawing the board with Tkinter

Problem 4 - Musical Instrument

Intro - Accessing peripherals
Solution overview - Musical instrument
Capturing mouse inputs with Tkinter
Drawing on the Tkinter canvas
Generating sounds with simpleaudio

Problem 5 - Facial Recognition

Intro - Facial recognition
Solution overview - Facial recognition
Loading images with OpenCV and imageio
Detecting faces using Haar cascades
Scaling images
Saving results as JSON

Problem 6 - Real-Time Information Dashboard

Intro - Real-time information dashboard
Solution overview - Information dashboard
Understanding Django
Routing URLs with Django
Manipulating data with the Django ORM
Populating HTML templates with Django