[LYNDA] Code Clinic Python - [FCO] GloDLS

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Name:	[LYNDA] Code Clinic Python - [FCO] GloDLS
Description: Author: Barron Stone Released: 6/8/2018 Course Source: https://www.lynda.com/Python-tutorials/Code-Clinic-Python/711810-2.html 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.
YouTube Video:
Category:	Tutorials
Language:	English
Total Size:	320.40 MB
Info Hash:	F04F8873CA611197ACC1AAAC0799908446448401
Added By:	Prom3th3uS
Date Added:	2018-11-03 19:24:59
Torrent Status:	Torrent Verified

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File List:

File	Size
1.Introduction/01.Welcome.en.srt	2.39 kB
1.Introduction/01.Welcome.mp4	7.97 MB
1.Introduction/02.Getting the most from Code Clinic.en.srt	1.74 kB
1.Introduction/02.Getting the most from Code Clinic.mp4	2.13 MB
2.1. Problem 1 - Weather Statistics/03.Intro - The weather at Pond Oreille.en.srt	2.65 kB
2.1. Problem 1 - Weather Statistics/03.Intro - The weather at Pond Oreille.mp4	7.41 MB
2.1. Problem 1 - Weather Statistics/04.Solution overview - Weather statistics.en.srt	5.72 kB
2.1. Problem 1 - Weather Statistics/04.Solution overview - Weather statistics.mp4	6.90 MB
2.1. Problem 1 - Weather Statistics/05.Importing data with the CSV module.en.srt	7.66 kB
2.1. Problem 1 - Weather Statistics/05.Importing data with the CSV module.mp4	13.72 MB
2.1. Problem 1 - Weather Statistics/06.Loading data into NumPy arrays.en.srt	5.53 kB
2.1. Problem 1 - Weather Statistics/06.Loading data into NumPy arrays.mp4	9.79 MB
2.1. Problem 1 - Weather Statistics/07.Embedding matplotlib into Tkinter.en.srt	5.39 kB
2.1. Problem 1 - Weather Statistics/07.Embedding matplotlib into Tkinter.mp4	9.94 MB
2.1. Problem 1 - Weather Statistics/08.Plotting results with matplotlib.en.srt	7.57 kB
2.1. Problem 1 - Weather Statistics/08.Plotting results with matplotlib.mp4	12.56 MB
3.2. Problem 2 - Where Am I/09.Intro - Where am I.en.srt	2.64 kB
3.2. Problem 2 - Where Am I/09.Intro - Where am I.mp4	7.62 MB
3.2. Problem 2 - Where Am I/10.Geolocation using simple IP lookup.en.srt	5.15 kB
3.2. Problem 2 - Where Am I/10.Geolocation using simple IP lookup.mp4	7.17 MB
3.2. Problem 2 - Where Am I/11.Geolocation using Google Maps API.en.srt	4.18 kB
3.2. Problem 2 - Where Am I/11.Geolocation using Google Maps API.mp4	11.42 MB
3.2. Problem 2 - Where Am I/12.Getting a Google Maps API key.en.srt	3.14 kB
3.2. Problem 2 - Where Am I/12.Getting a Google Maps API key.mp4	7.44 MB
3.2. Problem 2 - Where Am I/13.Determining nearby Wi-Fi access points.en.srt	5.48 kB
3.2. Problem 2 - Where Am I/13.Determining nearby Wi-Fi access points.mp4	9.54 MB
3.2. Problem 2 - Where Am I/14.Making a POST with requests.en.srt	3.21 kB
3.2. Problem 2 - Where Am I/14.Making a POST with requests.mp4	4.26 MB
4.3. Problem 3 - Eight Queens/15.Intro - Eight queens.en.srt	2.67 kB
4.3. Problem 3 - Eight Queens/15.Intro - Eight queens.mp4	6.50 MB
4.3. Problem 3 - Eight Queens/16.Solution overview - Eight queens.en.srt	5.00 kB
4.3. Problem 3 - Eight Queens/16.Solution overview - Eight queens.mp4	6.23 MB
4.3. Problem 3 - Eight Queens/17.Understanding permutations.en.srt	4.99 kB
4.3. Problem 3 - Eight Queens/17.Understanding permutations.mp4	7.25 MB
4.3. Problem 3 - Eight Queens/18.Finding solutions using permutations.en.srt	4.05 kB
4.3. Problem 3 - Eight Queens/18.Finding solutions using permutations.mp4	6.87 MB
4.3. Problem 3 - Eight Queens/19.Drawing the board with Tkinter.en.srt	5.26 kB
4.3. Problem 3 - Eight Queens/19.Drawing the board with Tkinter.mp4	8.30 MB
5.4. Problem 4 - Musical Instrument/20.Intro - Accessing peripherals.en.srt	3.03 kB
5.4. Problem 4 - Musical Instrument/20.Intro - Accessing peripherals.mp4	7.00 MB
5.4. Problem 4 - Musical Instrument/21.Solution overview - Musical instrument.en.srt	4.73 kB
5.4. Problem 4 - Musical Instrument/21.Solution overview - Musical instrument.mp4	5.03 MB
5.4. Problem 4 - Musical Instrument/22.Capturing mouse inputs with Tkinter.en.srt	4.58 kB
5.4. Problem 4 - Musical Instrument/22.Capturing mouse inputs with Tkinter.mp4	8.83 MB
5.4. Problem 4 - Musical Instrument/23.Drawing on the Tkinter canvas.en.srt	4.61 kB
5.4. Problem 4 - Musical Instrument/23.Drawing on the Tkinter canvas.mp4	6.66 MB
5.4. Problem 4 - Musical Instrument/24.Generating sounds with simpleaudio.en.srt	7.75 kB
5.4. Problem 4 - Musical Instrument/24.Generating sounds with simpleaudio.mp4	13.90 MB
6.5. Problem 5 - Facial Recognition/25.Intro - Facial recognition.en.srt	2.58 kB
6.5. Problem 5 - Facial Recognition/25.Intro - Facial recognition.mp4	5.53 MB
6.5. Problem 5 - Facial Recognition/26.Solution overview - Facial recognition.en.srt	4.46 kB
6.5. Problem 5 - Facial Recognition/26.Solution overview - Facial recognition.mp4	6.97 MB
6.5. Problem 5 - Facial Recognition/27.Loading images with OpenCV and imageio.en.srt	4.03 kB
6.5. Problem 5 - Facial Recognition/27.Loading images with OpenCV and imageio.mp4	7.21 MB
6.5. Problem 5 - Facial Recognition/28.Detecting faces using Haar cascades.en.srt	7.29 kB
6.5. Problem 5 - Facial Recognition/28.Detecting faces using Haar cascades.mp4	12.94 MB
6.5. Problem 5 - Facial Recognition/29.Scaling images.en.srt	4.14 kB
6.5. Problem 5 - Facial Recognition/29.Scaling images.mp4	10.36 MB
6.5. Problem 5 - Facial Recognition/30.Saving results as JSON.en.srt	2.65 kB
6.5. Problem 5 - Facial Recognition/30.Saving results as JSON.mp4	5.61 MB
7.6. Problem 6 - Real-Time Information Dashboard/31.Intro - Real-time information dashboard.en.srt	3.50 kB
7.6. Problem 6 - Real-Time Information Dashboard/31.Intro - Real-time information dashboard.mp4	10.05 MB
7.6. Problem 6 - Real-Time Information Dashboard/32.Solution overview - Information dashboard.en.srt	3.64 kB
7.6. Problem 6 - Real-Time Information Dashboard/32.Solution overview - Information dashboard.mp4	6.32 MB
7.6. Problem 6 - Real-Time Information Dashboard/33.Understanding Django.en.srt	3.52 kB
7.6. Problem 6 - Real-Time Information Dashboard/33.Understanding Django.mp4	3.85 MB
7.6. Problem 6 - Real-Time Information Dashboard/34.Routing URLs with Django.en.srt	5.67 kB
7.6. Problem 6 - Real-Time Information Dashboard/34.Routing URLs with Django.mp4	9.01 MB
7.6. Problem 6 - Real-Time Information Dashboard/35.Manipulating data with the Django ORM.en.srt	3.95 kB
7.6. Problem 6 - Real-Time Information Dashboard/35.Manipulating data with the Django ORM.mp4	7.64 MB
7.6. Problem 6 - Real-Time Information Dashboard/36.Populating HTML templates with Django.en.srt	4.18 kB
7.6. Problem 6 - Real-Time Information Dashboard/36.Populating HTML templates with Django.mp4	7.19 MB
Discuss.FreeTutorials.Us.html	165.68 kB
Exercise Files/Ex_Files_Code_Clinic_Python.zip	32.76 MB
FreeCoursesOnline.Me.html	108.30 kB
FreeTutorials.Eu.html	102.23 kB
Presented By SaM.txt	33.00 B
Torrent Downloaded From GloDls.to.txt	84.00 B
[TGx]Downloaded from torrentgalaxy.org.txt	524.00 B

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[LYNDA] Code Clinic Python - [FCO] GloDLS