Lynda - Code Clinic - Python
- 收录时间:2018-06-12 18:59:22
- 文件大小:320MB
- 下载次数:156
- 最近下载:2021-01-19 14:02:33
- 磁力链接:
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文件列表
- Exercise Files/Ex_Files_Code_Clinic_Python.zip 33MB
- 5.4. Problem 4 - Musical Instrument/24.Generating sounds with simpleaudio.mp4 14MB
- 2.1. Problem 1 - Weather Statistics/05.Importing data with the CSV module.mp4 14MB
- 6.5. Problem 5 - Facial Recognition/28.Detecting faces using Haar cascades.mp4 13MB
- 2.1. Problem 1 - Weather Statistics/08.Plotting results with matplotlib.mp4 13MB
- 3.2. Problem 2 - Where Am I/11.Geolocation using Google Maps API.mp4 11MB
- 6.5. Problem 5 - Facial Recognition/29.Scaling images.mp4 10MB
- 7.6. Problem 6 - Real-Time Information Dashboard/31.Intro - Real-time information dashboard.mp4 10MB
- 2.1. Problem 1 - Weather Statistics/07.Embedding matplotlib into Tkinter.mp4 10MB
- 2.1. Problem 1 - Weather Statistics/06.Loading data into NumPy arrays.mp4 10MB
- 3.2. Problem 2 - Where Am I/13.Determining nearby Wi-Fi access points.mp4 10MB
- 7.6. Problem 6 - Real-Time Information Dashboard/34.Routing URLs with Django.mp4 9MB
- 5.4. Problem 4 - Musical Instrument/22.Capturing mouse inputs with Tkinter.mp4 9MB
- 4.3. Problem 3 - Eight Queens/19.Drawing the board with Tkinter.mp4 8MB
- 1.Introduction/01.Welcome.mp4 8MB
- 7.6. Problem 6 - Real-Time Information Dashboard/35.Manipulating data with the Django ORM.mp4 8MB
- 3.2. Problem 2 - Where Am I/09.Intro - Where am I.mp4 8MB
- 3.2. Problem 2 - Where Am I/12.Getting a Google Maps API key.mp4 7MB
- 2.1. Problem 1 - Weather Statistics/03.Intro - The weather at Pond Oreille.mp4 7MB
- 4.3. Problem 3 - Eight Queens/17.Understanding permutations.mp4 7MB
- 6.5. Problem 5 - Facial Recognition/27.Loading images with OpenCV and imageio.mp4 7MB
- 7.6. Problem 6 - Real-Time Information Dashboard/36.Populating HTML templates with Django.mp4 7MB
- 3.2. Problem 2 - Where Am I/10.Geolocation using simple IP lookup.mp4 7MB
- 5.4. Problem 4 - Musical Instrument/20.Intro - Accessing peripherals.mp4 7MB
- 6.5. Problem 5 - Facial Recognition/26.Solution overview - Facial recognition.mp4 7MB
- 2.1. Problem 1 - Weather Statistics/04.Solution overview - Weather statistics.mp4 7MB
- 4.3. Problem 3 - Eight Queens/18.Finding solutions using permutations.mp4 7MB
- 5.4. Problem 4 - Musical Instrument/23.Drawing on the Tkinter canvas.mp4 7MB
- 4.3. Problem 3 - Eight Queens/15.Intro - Eight queens.mp4 6MB
- 7.6. Problem 6 - Real-Time Information Dashboard/32.Solution overview - Information dashboard.mp4 6MB
- 4.3. Problem 3 - Eight Queens/16.Solution overview - Eight queens.mp4 6MB
- 6.5. Problem 5 - Facial Recognition/30.Saving results as JSON.mp4 6MB
- 6.5. Problem 5 - Facial Recognition/25.Intro - Facial recognition.mp4 6MB
- 5.4. Problem 4 - Musical Instrument/21.Solution overview - Musical instrument.mp4 5MB
- 3.2. Problem 2 - Where Am I/14.Making a POST with requests.mp4 4MB
- 7.6. Problem 6 - Real-Time Information Dashboard/33.Understanding Django.mp4 4MB
- 1.Introduction/02.Getting the most from Code Clinic.mp4 2MB
- 5.4. Problem 4 - Musical Instrument/24.Generating sounds with simpleaudio.en.srt 8KB
- 2.1. Problem 1 - Weather Statistics/05.Importing data with the CSV module.en.srt 8KB
- 2.1. Problem 1 - Weather Statistics/08.Plotting results with matplotlib.en.srt 8KB
- 6.5. Problem 5 - Facial Recognition/28.Detecting faces using Haar cascades.en.srt 7KB
- 2.1. Problem 1 - Weather Statistics/04.Solution overview - Weather statistics.en.srt 6KB
- 7.6. Problem 6 - Real-Time Information Dashboard/34.Routing URLs with Django.en.srt 6KB
- 2.1. Problem 1 - Weather Statistics/06.Loading data into NumPy arrays.en.srt 6KB
- 3.2. Problem 2 - Where Am I/13.Determining nearby Wi-Fi access points.en.srt 5KB
- 2.1. Problem 1 - Weather Statistics/07.Embedding matplotlib into Tkinter.en.srt 5KB
- 4.3. Problem 3 - Eight Queens/19.Drawing the board with Tkinter.en.srt 5KB
- 3.2. Problem 2 - Where Am I/10.Geolocation using simple IP lookup.en.srt 5KB
- 4.3. Problem 3 - Eight Queens/16.Solution overview - Eight queens.en.srt 5KB
- 4.3. Problem 3 - Eight Queens/17.Understanding permutations.en.srt 5KB
- 5.4. Problem 4 - Musical Instrument/21.Solution overview - Musical instrument.en.srt 5KB
- 5.4. Problem 4 - Musical Instrument/23.Drawing on the Tkinter canvas.en.srt 5KB
- 5.4. Problem 4 - Musical Instrument/22.Capturing mouse inputs with Tkinter.en.srt 5KB
- 6.5. Problem 5 - Facial Recognition/26.Solution overview - Facial recognition.en.srt 4KB
- 3.2. Problem 2 - Where Am I/11.Geolocation using Google Maps API.en.srt 4KB
- 7.6. Problem 6 - Real-Time Information Dashboard/36.Populating HTML templates with Django.en.srt 4KB
- 6.5. Problem 5 - Facial Recognition/29.Scaling images.en.srt 4KB
- 4.3. Problem 3 - Eight Queens/18.Finding solutions using permutations.en.srt 4KB
- 6.5. Problem 5 - Facial Recognition/27.Loading images with OpenCV and imageio.en.srt 4KB
- 7.6. Problem 6 - Real-Time Information Dashboard/35.Manipulating data with the Django ORM.en.srt 4KB
- 7.6. Problem 6 - Real-Time Information Dashboard/32.Solution overview - Information dashboard.en.srt 4KB
- 7.6. Problem 6 - Real-Time Information Dashboard/33.Understanding Django.en.srt 4KB
- 7.6. Problem 6 - Real-Time Information Dashboard/31.Intro - Real-time information dashboard.en.srt 4KB
- 3.2. Problem 2 - Where Am I/14.Making a POST with requests.en.srt 3KB
- 3.2. Problem 2 - Where Am I/12.Getting a Google Maps API key.en.srt 3KB
- 5.4. Problem 4 - Musical Instrument/20.Intro - Accessing peripherals.en.srt 3KB
- 4.3. Problem 3 - Eight Queens/15.Intro - Eight queens.en.srt 3KB
- 2.1. Problem 1 - Weather Statistics/03.Intro - The weather at Pond Oreille.en.srt 3KB
- 6.5. Problem 5 - Facial Recognition/30.Saving results as JSON.en.srt 3KB
- 3.2. Problem 2 - Where Am I/09.Intro - Where am I.en.srt 3KB
- 6.5. Problem 5 - Facial Recognition/25.Intro - Facial recognition.en.srt 3KB
- 1.Introduction/01.Welcome.en.srt 2KB
- 1.Introduction/02.Getting the most from Code Clinic.en.srt 2KB