本站已收录 番号和无损神作磁力链接/BT种子 

[FreeCoursesOnline.Me] [LYNDA] Code Clinic Python - [FCO]

种子简介

种子名称: [FreeCoursesOnline.Me] [LYNDA] Code Clinic Python - [FCO]
文件类型: 视频
文件数目: 36个文件
文件大小: 287.11 MB
收录时间: 2019-5-16 15:40
已经下载: 3
资源热度: 66
最近下载: 2024-9-23 11:03

下载BT种子文件

下载Torrent文件(.torrent) 立即下载

磁力链接下载

magnet:?xt=urn:btih:f04f8873ca611197acc1aaac0799908446448401&dn=[FreeCoursesOnline.Me] [LYNDA] Code Clinic Python - [FCO] 复制链接到迅雷、QQ旋风进行下载,或者使用百度云离线下载。

喜欢这个种子的人也喜欢

种子包含的文件

[FreeCoursesOnline.Me] [LYNDA] Code Clinic Python - [FCO].torrent
  • 1.Introduction/01.Welcome.mp47.97MB
  • 1.Introduction/02.Getting the most from Code Clinic.mp42.13MB
  • 2.1. Problem 1 - Weather Statistics/03.Intro - The weather at Pond Oreille.mp47.41MB
  • 2.1. Problem 1 - Weather Statistics/04.Solution overview - Weather statistics.mp46.9MB
  • 2.1. Problem 1 - Weather Statistics/05.Importing data with the CSV module.mp413.72MB
  • 2.1. Problem 1 - Weather Statistics/06.Loading data into NumPy arrays.mp49.79MB
  • 2.1. Problem 1 - Weather Statistics/07.Embedding matplotlib into Tkinter.mp49.94MB
  • 2.1. Problem 1 - Weather Statistics/08.Plotting results with matplotlib.mp412.56MB
  • 3.2. Problem 2 - Where Am I/09.Intro - Where am I.mp47.62MB
  • 3.2. Problem 2 - Where Am I/10.Geolocation using simple IP lookup.mp47.17MB
  • 3.2. Problem 2 - Where Am I/11.Geolocation using Google Maps API.mp411.42MB
  • 3.2. Problem 2 - Where Am I/12.Getting a Google Maps API key.mp47.44MB
  • 3.2. Problem 2 - Where Am I/13.Determining nearby Wi-Fi access points.mp49.54MB
  • 3.2. Problem 2 - Where Am I/14.Making a POST with requests.mp44.26MB
  • 4.3. Problem 3 - Eight Queens/15.Intro - Eight queens.mp46.5MB
  • 4.3. Problem 3 - Eight Queens/16.Solution overview - Eight queens.mp46.23MB
  • 4.3. Problem 3 - Eight Queens/17.Understanding permutations.mp47.25MB
  • 4.3. Problem 3 - Eight Queens/18.Finding solutions using permutations.mp46.87MB
  • 4.3. Problem 3 - Eight Queens/19.Drawing the board with Tkinter.mp48.3MB
  • 5.4. Problem 4 - Musical Instrument/20.Intro - Accessing peripherals.mp47MB
  • 5.4. Problem 4 - Musical Instrument/21.Solution overview - Musical instrument.mp45.03MB
  • 5.4. Problem 4 - Musical Instrument/22.Capturing mouse inputs with Tkinter.mp48.83MB
  • 5.4. Problem 4 - Musical Instrument/23.Drawing on the Tkinter canvas.mp46.66MB
  • 5.4. Problem 4 - Musical Instrument/24.Generating sounds with simpleaudio.mp413.9MB
  • 6.5. Problem 5 - Facial Recognition/25.Intro - Facial recognition.mp45.53MB
  • 6.5. Problem 5 - Facial Recognition/26.Solution overview - Facial recognition.mp46.97MB
  • 6.5. Problem 5 - Facial Recognition/27.Loading images with OpenCV and imageio.mp47.21MB
  • 6.5. Problem 5 - Facial Recognition/28.Detecting faces using Haar cascades.mp412.94MB
  • 6.5. Problem 5 - Facial Recognition/29.Scaling images.mp410.36MB
  • 6.5. Problem 5 - Facial Recognition/30.Saving results as JSON.mp45.61MB
  • 7.6. Problem 6 - Real-Time Information Dashboard/31.Intro - Real-time information dashboard.mp410.05MB
  • 7.6. Problem 6 - Real-Time Information Dashboard/32.Solution overview - Information dashboard.mp46.32MB
  • 7.6. Problem 6 - Real-Time Information Dashboard/33.Understanding Django.mp43.85MB
  • 7.6. Problem 6 - Real-Time Information Dashboard/34.Routing URLs with Django.mp49.01MB
  • 7.6. Problem 6 - Real-Time Information Dashboard/35.Manipulating data with the Django ORM.mp47.64MB
  • 7.6. Problem 6 - Real-Time Information Dashboard/36.Populating HTML templates with Django.mp47.19MB