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[FreeCoursesOnline Us] Lynda - NumPy Data Science Essential Training

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Description
[FCO] NUMPY DATA SCIENCE ESSENTIAL TRAINING [LYNDA]


NumPy Data Science Essential Training introduces the beginning to intermediate data scientist to NumPy, the Python library that supports numerical, scientific, and statistical programming, including machine learning. The library supports several aspects of data science, providing multidimensional array objects, derived objects (matrixes and masked arrays), and routines for math, logic, sorting, statistics, and random number generation. Here Charles Kelly shows how to work with NumPy and Python within Jupyter Notebook, a browser-based tool for creating interactive documents with live code, annotations, and even visualizations such as plots. Learn how to create NumPy arrays, use NumPy statements and snippets, and index, slice, iterate, and otherwise manipulate arrays. Plus, learn how to plot data and combine NumPy arrays with Python classes, and get examples of NumPy in action: solving linear equations, finding patterns, performing statistics, generating magic cubes, and more.


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File list
  • [FreeCoursesOnline Us] Lynda - NumPy Data Science Essential Training
  • 01-Welcome.en.srt 1.1 KB
  • 01-Welcome.mp4 5.9 MB
  • 02-What you should know.en.srt 566 B
  • 02-What you should know.mp4 607 KB
  • 03-NumPy, data science, IMQAV.en.srt 8.5 KB
  • 03-NumPy, data science, IMQAV.mp4 12.9 MB
  • 04-How to use the exercise files.en.srt 3.1 KB
  • 04-How to use the exercise files.mp4 3.7 MB
  • 05-Install software.en.srt 3 KB
  • 05-Install software.mp4 5.5 MB
  • 06-Introduction to Jupyter Notebook.en.srt 4.6 KB
  • 06-Introduction to Jupyter Notebook.mp4 9.1 MB
  • 07-Notebook basics.en.srt 12.8 KB
  • 07-Notebook basics.mp4 21 MB
  • 08-Markdown.en.srt 6.2 KB
  • 08-Markdown.mp4 11.5 MB
  • 09-Beautiful mathematics typesetting.en.srt 4.5 KB
  • 09-Beautiful mathematics typesetting.mp4 10.5 MB
  • 10-Launch Jupyter Notebook.en.srt 3 KB
  • 10-Launch Jupyter Notebook.mp4 5 MB
  • 11-Create arrays from Python structures.en.srt 10.3 KB
  • 11-Create arrays from Python structures.mp4 17.7 MB
  • 12-Intrinsic creation using NumPy methods.en.srt 10.5 KB
  • 12-Intrinsic creation using NumPy methods.mp4 17.7 MB
  • 13-linspace, zeros, ones, data types.en.srt 14 KB
  • 13-linspace, zeros, ones, data types.mp4 24.1 MB
  • 14-Slice arrays.en.srt 10.6 KB
  • 14-Slice arrays.mp4 18.1 MB
  • 15-Boolean mask arrays.en.srt 6.9 KB
  • 15-Boolean mask arrays.mp4 12 MB
  • 16-Broadcasting.en.srt 16.1 KB
  • 16-Broadcasting.mp4 30 MB
  • 17-Structured and record arrays.en.srt 15 KB
  • 17-Structured and record arrays.mp4 27.7 MB
  • 18-Inline plotting.en.srt 4 KB
  • 18-Inline plotting.mp4 6.6 MB
  • 19-Figures and subplots.en.srt 7 KB
  • 19-Figures and subplots.mp4 13 MB
  • 20-Multiple lines, single plot.en.srt 9.2 KB
  • 20-Multiple lines, single plot.mp4 16.5 MB
  • 21-Tick marks, labels, and grids.en.srt 4.8 KB
  • 21-Tick marks, labels, and grids.mp4 8.2 MB
  • 22-Plot annotations.en.srt 7.1 KB
  • 22-Plot annotations.mp4 13.9 MB
  • 23-Pie charts and bar charts.en.srt 5.8 KB
  • 23-Pie charts and bar charts.mp4 11.6 MB
  • 24-Beautiful plots, the gallery.en.srt 6.4 KB
  • 24-Beautiful plots, the gallery.mp4 12.1 MB
  • 25-Views and copies.en.srt 10.9 KB
  • 25-Views and copies.mp4 19.1 MB
  • 26-Array attributes.en.srt 2.1 KB
  • 26-Array attributes.mp4 4 MB
  • 27-Add and remove elements.en.srt 12.2 KB
  • 27-Add and remove elements.mp4 23.1 MB
  • 28-Join and split arrays.en.srt 9.4 KB
  • 28-Join and split arrays.mp4 19.1 MB
  • 29-Array shape manipulation.en.srt 6.3 KB
  • 29-Array shape manipulation.mp4 11.3 MB
  • 30-Rearrange array elements.en.srt 6.4 KB
  • 30-Rearrange array elements.mp4 12.9 MB
  • 31-Transpose like operations.en.srt 5.8 KB
  • 31-Transpose like operations.mp4 11.6 MB
  • 32-Tiling arrays.en.srt 4.7 KB
  • 32-Tiling arrays.mp4 9.5 MB
  • 33-Universal functions.en.srt 6.4 KB
  • 33-Universal functions.mp4 12.8 MB
  • 34-Pythagorean triangles.en.srt 5.4 KB
  • 34-Pythagorean triangles.mp4 8.3 MB
  • 35-Linear algebra.en.srt 11.4 KB
  • 35-Linear algebra.mp4 19.6 MB
  • 36-Finding patterns.en.srt 12 KB
  • 36-Finding patterns.mp4 19.3 MB
  • 37-Statistics.en.srt 11.8 KB
  • 37-Statistics.mp4 20.4 MB
  • 38-Brain teasers.en.srt 17.2 KB
  • 38-Brain teasers.mp4 29.8 MB
  • 39-Magic squares and NumPy.en.srt 9.4 KB
  • 39-Magic squares and NumPy.mp4 19.5 MB
  • 40-Adjacency matrix.en.srt 8.8 KB
  • 40-Adjacency matrix.mp4 16.7 MB
  • 41-Magic characteristics.en.srt 7.5 KB
  • 41-Magic characteristics.mp4 15.1 MB
  • 42-Build magic cubes.en.srt 5 KB
  • 42-Build magic cubes.mp4 10.2 MB
  • 43-Next steps.en.srt 1.5 KB
  • 43-Next steps.mp4 2.4 MB
  • [FreeCoursesOnline.Us].txt 138 B
  • [FreeTutorials.Us].txt 75 B

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