10 JUL 2026 - Back up to full speed! Let's be honest: for the last few months, TorrentFunk was painfully slow. Pages crawled, searches dragged, and just loading the site tested everyone's patience. We hunted the problem down to our network and rebuilt it from the ground up — smarter caching, a much bigger and faster connection, and a lot of fine-tuning under the hood. The difference is night and day: the site now loads in a fraction of a second. No more waiting around. Thanks for sticking with us through the slow spell. Now go discover your funk!
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.
For More Udemy Free Courses >>> http://www.freetutorials.eu
For more Lynda and other Courses >>> https://www.freecoursesonline.me/
Our Forum for discussion >>> https://discuss.freetutorials.us/
VISITOR COMMENTS (0 )
FILE LIST
Filename
Size
1.Introduction/01.Welcome.en.srt
2.4 KB
1.Introduction/01.Welcome.mp4
8 MB
1.Introduction/02.Getting the most from Code Clinic.en.srt
1.7 KB
1.Introduction/02.Getting the most from Code Clinic.mp4
2.1 MB
2.1. Problem 1 - Weather Statistics/03.Intro - The weather at Pond Oreille.en.srt
2.7 KB
2.1. Problem 1 - Weather Statistics/03.Intro - The weather at Pond Oreille.mp4
7.4 MB
2.1. Problem 1 - Weather Statistics/04.Solution overview - Weather statistics.en.srt
5.7 KB
2.1. Problem 1 - Weather Statistics/04.Solution overview - Weather statistics.mp4
6.9 MB
2.1. Problem 1 - Weather Statistics/05.Importing data with the CSV module.en.srt
7.7 KB
2.1. Problem 1 - Weather Statistics/05.Importing data with the CSV module.mp4
13.7 MB
2.1. Problem 1 - Weather Statistics/06.Loading data into NumPy arrays.en.srt
5.5 KB
2.1. Problem 1 - Weather Statistics/06.Loading data into NumPy arrays.mp4
9.8 MB
2.1. Problem 1 - Weather Statistics/07.Embedding matplotlib into Tkinter.en.srt
5.4 KB
2.1. Problem 1 - Weather Statistics/07.Embedding matplotlib into Tkinter.mp4
9.9 MB
2.1. Problem 1 - Weather Statistics/08.Plotting results with matplotlib.en.srt
7.6 KB
2.1. Problem 1 - Weather Statistics/08.Plotting results with matplotlib.mp4
12.6 MB
3.2. Problem 2 - Where Am I/09.Intro - Where am I.en.srt
2.6 KB
3.2. Problem 2 - Where Am I/09.Intro - Where am I.mp4
7.6 MB
3.2. Problem 2 - Where Am I/10.Geolocation using simple IP lookup.en.srt
5.2 KB
3.2. Problem 2 - Where Am I/10.Geolocation using simple IP lookup.mp4
7.2 MB
3.2. Problem 2 - Where Am I/11.Geolocation using Google Maps API.en.srt
4.2 KB
3.2. Problem 2 - Where Am I/11.Geolocation using Google Maps API.mp4
11.4 MB
3.2. Problem 2 - Where Am I/12.Getting a Google Maps API key.en.srt
3.1 KB
3.2. Problem 2 - Where Am I/12.Getting a Google Maps API key.mp4
7.4 MB
3.2. Problem 2 - Where Am I/13.Determining nearby Wi-Fi access points.en.srt
5.5 KB
3.2. Problem 2 - Where Am I/13.Determining nearby Wi-Fi access points.mp4
9.5 MB
3.2. Problem 2 - Where Am I/14.Making a POST with requests.en.srt
3.2 KB
3.2. Problem 2 - Where Am I/14.Making a POST with requests.mp4
4.3 MB
4.3. Problem 3 - Eight Queens/15.Intro - Eight queens.en.srt
2.7 KB
4.3. Problem 3 - Eight Queens/15.Intro - Eight queens.mp4
6.5 MB
4.3. Problem 3 - Eight Queens/16.Solution overview - Eight queens.en.srt
5 KB
4.3. Problem 3 - Eight Queens/16.Solution overview - Eight queens.mp4
6.2 MB
4.3. Problem 3 - Eight Queens/17.Understanding permutations.en.srt
5 KB
4.3. Problem 3 - Eight Queens/17.Understanding permutations.mp4
7.2 MB
4.3. Problem 3 - Eight Queens/18.Finding solutions using permutations.en.srt
4 KB
4.3. Problem 3 - Eight Queens/18.Finding solutions using permutations.mp4
6.9 MB
4.3. Problem 3 - Eight Queens/19.Drawing the board with Tkinter.en.srt
5.3 KB
4.3. Problem 3 - Eight Queens/19.Drawing the board with Tkinter.mp4
8.3 MB
5.4. Problem 4 - Musical Instrument/20.Intro - Accessing peripherals.en.srt
3 KB
5.4. Problem 4 - Musical Instrument/20.Intro - Accessing peripherals.mp4
7 MB
5.4. Problem 4 - Musical Instrument/21.Solution overview - Musical instrument.en.srt
4.7 KB
5.4. Problem 4 - Musical Instrument/21.Solution overview - Musical instrument.mp4
5 MB
5.4. Problem 4 - Musical Instrument/22.Capturing mouse inputs with Tkinter.en.srt
4.6 KB
5.4. Problem 4 - Musical Instrument/22.Capturing mouse inputs with Tkinter.mp4
8.8 MB
5.4. Problem 4 - Musical Instrument/23.Drawing on the Tkinter canvas.en.srt
4.6 KB
5.4. Problem 4 - Musical Instrument/23.Drawing on the Tkinter canvas.mp4
6.7 MB
5.4. Problem 4 - Musical Instrument/24.Generating sounds with simpleaudio.en.srt
7.7 KB
5.4. Problem 4 - Musical Instrument/24.Generating sounds with simpleaudio.mp4
13.9 MB
6.5. Problem 5 - Facial Recognition/25.Intro - Facial recognition.en.srt
2.6 KB
6.5. Problem 5 - Facial Recognition/25.Intro - Facial recognition.mp4
5.5 MB
6.5. Problem 5 - Facial Recognition/26.Solution overview - Facial recognition.en.srt
4.5 KB
6.5. Problem 5 - Facial Recognition/26.Solution overview - Facial recognition.mp4
7 MB
6.5. Problem 5 - Facial Recognition/27.Loading images with OpenCV and imageio.en.srt
4 KB
6.5. Problem 5 - Facial Recognition/27.Loading images with OpenCV and imageio.mp4
7.2 MB
6.5. Problem 5 - Facial Recognition/28.Detecting faces using Haar cascades.en.srt
7.3 KB
6.5. Problem 5 - Facial Recognition/28.Detecting faces using Haar cascades.mp4
12.9 MB
6.5. Problem 5 - Facial Recognition/29.Scaling images.en.srt
4.1 KB
6.5. Problem 5 - Facial Recognition/29.Scaling images.mp4
10.4 MB
6.5. Problem 5 - Facial Recognition/30.Saving results as JSON.en.srt
2.6 KB
6.5. Problem 5 - Facial Recognition/30.Saving results as JSON.mp4
5.6 MB
7.6. Problem 6 - Real-Time Information Dashboard/31.Intro - Real-time information dashboard.en.srt
3.5 KB
7.6. Problem 6 - Real-Time Information Dashboard/31.Intro - Real-time information dashboard.mp4
10 MB
7.6. Problem 6 - Real-Time Information Dashboard/32.Solution overview - Information dashboard.en.srt
3.6 KB
7.6. Problem 6 - Real-Time Information Dashboard/32.Solution overview - Information dashboard.mp4
6.3 MB
7.6. Problem 6 - Real-Time Information Dashboard/33.Understanding Django.en.srt
3.5 KB
7.6. Problem 6 - Real-Time Information Dashboard/33.Understanding Django.mp4
3.9 MB
7.6. Problem 6 - Real-Time Information Dashboard/34.Routing URLs with Django.en.srt
5.7 KB
7.6. Problem 6 - Real-Time Information Dashboard/34.Routing URLs with Django.mp4
9 MB
7.6. Problem 6 - Real-Time Information Dashboard/35.Manipulating data with the Django ORM.en.srt
4 KB
7.6. Problem 6 - Real-Time Information Dashboard/35.Manipulating data with the Django ORM.mp4
7.6 MB
7.6. Problem 6 - Real-Time Information Dashboard/36.Populating HTML templates with Django.en.srt
4.2 KB
7.6. Problem 6 - Real-Time Information Dashboard/36.Populating HTML templates with Django.mp4