Public MEGA.nz folder Updated 2 days, 12 hours ago

Linkedin - numpy data science essential training

Indexed public MEGA.nz folder with 87 files and 1 folder. Last scan: Jun 29, 2026. Review a sample of the indexed contents before opening the source link.

Summary of files indexed in this MEGA.nz folder

43 Videos

1 Archives

43 Other

Sample of files included in this MEGA.nz folder

A curated sample of files and folders indexed from this link — not the full listing. Total counts reflect the complete dataset.

Files 87

01 - welcome.en.srt
08 - markdown.en.srt
37 - statistics.en.srt
43 - next steps.en.srt
14 - slice arrays.en.srt
16 - broadcasting.en.srt
32 - tiling arrays.en.srt
38 - brain teasers.en.srt
35 - linear algebra.en.srt
07 - notebook basics.en.srt
18 - inline plotting.en.srt
05 - install software.en.srt
22 - plot annotations.en.srt
25 - views and copies.en.srt
26 - array attributes.en.srt
36 - finding patterns.en.srt
40 - adjacency matrix.en.srt
ex_files_numpy_data_esst.zip
42 - build magic cubes.en.srt
15 - boolean mask arrays.en.srt
33 - universal functions.en.srt
02 - what you should know.en.srt
19 - figures and subplots.en.srt
28 - join and split arrays.en.srt
34 - pythagorean triangles.en.srt
41 - magic characteristics.en.srt
10 - launch jupyter notebook.en.srt
27 - add and remove elements.en.srt
39 - magic squares and numpy.en.srt
29 - array shape manipulation.en.srt
30 - rearrange array elements.en.srt
23 - pie charts and bar charts.en.srt
31 - transpose like operations.en.srt
03 - numpy, data science, imqav.en.srt
20 - multiple lines, single plot.en.srt
17 - structured and record arrays.en.srt
24 - beautiful plots, the gallery.en.srt
04 - how to use the exercise files.en.srt
21 - tick marks, labels, and grids.en.srt
06 - introduction to jupyter notebook.en.srt

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linkedin - numpy data science essential training

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MEGA.nz link overview

Created: May 11, 2024
Last scan: Jun 29, 2026

About this MEGA link

This page summarizes an indexed public MEGA.nz folder discovered by Meawfy. It combines file and folder counts, size, tags, scan history, and a sample of the indexed contents so you can evaluate the link before opening the original source.