[] Lynda - NumPy Data Science Essential Training
- 收录时间:2018-06-18 00:20:24
- 文件大小:600MB
- 下载次数:105
- 最近下载:2021-01-12 20:42:41
- 磁力链接:
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文件列表
- 16-Broadcasting.mp4 30MB
- 38-Brain teasers.mp4 30MB
- 17-Structured and record arrays.mp4 28MB
- 13-linspace, zeros, ones, data types.mp4 24MB
- 27-Add and remove elements.mp4 23MB
- 07-Notebook basics.mp4 21MB
- 37-Statistics.mp4 20MB
- 35-Linear algebra.mp4 20MB
- 39-Magic squares and NumPy.mp4 20MB
- 36-Finding patterns.mp4 19MB
- 28-Join and split arrays.mp4 19MB
- 25-Views and copies.mp4 19MB
- 14-Slice arrays.mp4 18MB
- 12-Intrinsic creation using NumPy methods.mp4 18MB
- 11-Create arrays from Python structures.mp4 18MB
- 40-Adjacency matrix.mp4 17MB
- 20-Multiple lines, single plot.mp4 16MB
- 41-Magic characteristics.mp4 15MB
- 22-Plot annotations.mp4 14MB
- 19-Figures and subplots.mp4 13MB
- 30-Rearrange array elements.mp4 13MB
- 03-NumPy, data science, IMQAV.mp4 13MB
- 33-Universal functions.mp4 13MB
- 24-Beautiful plots, the gallery.mp4 12MB
- 15-Boolean mask arrays.mp4 12MB
- 23-Pie charts and bar charts.mp4 12MB
- 31-Transpose like operations.mp4 12MB
- 08-Markdown.mp4 11MB
- 29-Array shape manipulation.mp4 11MB
- 09-Beautiful mathematics typesetting.mp4 10MB
- 42-Build magic cubes.mp4 10MB
- 32-Tiling arrays.mp4 9MB
- 06-Introduction to Jupyter Notebook.mp4 9MB
- 34-Pythagorean triangles.mp4 8MB
- 21-Tick marks, labels, and grids.mp4 8MB
- 18-Inline plotting.mp4 7MB
- 01-Welcome.mp4 6MB
- 05-Install software.mp4 5MB
- 10-Launch Jupyter Notebook.mp4 5MB
- 26-Array attributes.mp4 4MB
- 04-How to use the exercise files.mp4 4MB
- 43-Next steps.mp4 2MB
- 02-What you should know.mp4 607KB
- 38-Brain teasers.en.srt 17KB
- 16-Broadcasting.en.srt 16KB
- 17-Structured and record arrays.en.srt 15KB
- 13-linspace, zeros, ones, data types.en.srt 14KB
- 07-Notebook basics.en.srt 13KB
- 27-Add and remove elements.en.srt 12KB
- 36-Finding patterns.en.srt 12KB
- 37-Statistics.en.srt 12KB
- 35-Linear algebra.en.srt 11KB
- 25-Views and copies.en.srt 11KB
- 14-Slice arrays.en.srt 11KB
- 12-Intrinsic creation using NumPy methods.en.srt 11KB
- 11-Create arrays from Python structures.en.srt 10KB
- 39-Magic squares and NumPy.en.srt 9KB
- 28-Join and split arrays.en.srt 9KB
- 20-Multiple lines, single plot.en.srt 9KB
- 40-Adjacency matrix.en.srt 9KB
- 03-NumPy, data science, IMQAV.en.srt 9KB
- 41-Magic characteristics.en.srt 7KB
- 22-Plot annotations.en.srt 7KB
- 19-Figures and subplots.en.srt 7KB
- 15-Boolean mask arrays.en.srt 7KB
- 30-Rearrange array elements.en.srt 6KB
- 24-Beautiful plots, the gallery.en.srt 6KB
- 33-Universal functions.en.srt 6KB
- 29-Array shape manipulation.en.srt 6KB
- 08-Markdown.en.srt 6KB
- 31-Transpose like operations.en.srt 6KB
- 23-Pie charts and bar charts.en.srt 6KB
- 34-Pythagorean triangles.en.srt 5KB
- 42-Build magic cubes.en.srt 5KB
- 21-Tick marks, labels, and grids.en.srt 5KB
- 32-Tiling arrays.en.srt 5KB
- 06-Introduction to Jupyter Notebook.en.srt 5KB
- 09-Beautiful mathematics typesetting.en.srt 4KB
- 18-Inline plotting.en.srt 4KB
- 04-How to use the exercise files.en.srt 3KB
- 05-Install software.en.srt 3KB
- 10-Launch Jupyter Notebook.en.srt 3KB
- 26-Array attributes.en.srt 2KB
- 43-Next steps.en.srt 1KB
- 01-Welcome.en.srt 1KB
- 02-What you should know.en.srt 566B
- [FreeCourseSite.com].url 127B
- [CourseClub.NET].url 123B