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Practice coding with Python. Explore common Python programming challenges, and then compare the results with other programming languages in the Code Clinic series.
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.
Visit other courses in the series to see how to solve the same challenges in languages like C++, C#, JavaScript, PHP, Python, Ruby, Go, and Swift.
Overview
Syllabus
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Introduction
- Welcome
- Getting the most from Code Clinic
- 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
- 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
- Intro: Eight queens
- Solution overview: Eight queens
- Understanding permutations
- Finding solutions using permutations
- Drawing the board with Tkinter
- Intro: Accessing peripherals
- Solution overview: Musical instrument
- Capturing mouse inputs with Tkinter
- Drawing on the Tkinter canvas
- Generating sounds with simpleaudio
- Intro: Facial recognition
- Solution overview: Facial recognition
- Loading images with OpenCV and imageio
- Detecting faces using Haar cascades
- Scaling images
- Saving results as JSON
- 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
