Udemy - Matplotlib -A 7hr Comprehensive Course on Data Visualization

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[ CoursePig.com ] Udemy - Matplotlib -A 7hr Comprehensive Course on Data Visualization
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1. Introduction
    • 1. Introduction.mp4 (57.3 MB)
    • 1. Introduction.srt (3.3 KB)
    2. Matplot Lib Basics
    • 1. Matplotlib-Bar chart histogram.mp4 (32.9 MB)
    • 1. Matplotlib-Bar chart histogram.srt (6.8 KB)
    • 10. Pyplot 4-text in Matplotlib plots #202.mp4 (37.3 MB)
    • 10. Pyplot 4-text in Matplotlib plots #202.srt (8.1 KB)
    • 11. Pyplot 5-working with text -Histogram#203.mp4 (13.4 MB)
    • 11. Pyplot 5-working with text -Histogram#203.srt (3.5 KB)
    • 12. Pyplot 6-Arithmatic expression #204.mp4 (25.9 MB)
    • 12. Pyplot 6-Arithmatic expression #204.srt (7.7 KB)
    • 13. Subplot example.mp4 (31.5 MB)
    • 13. Subplot example.srt (10.2 KB)
    • 14. Lifecycle of a Plt.1Our Data#206.mp4 (17.7 MB)
    • 14. Lifecycle of a Plt.1Our Data#206.srt (5.3 KB)
    • 15. Controlling the style#208.mp4 (78.2 MB)
    • 15. Controlling the style#208.srt (13.2 KB)
    • 16. Combining multiple visualization #209.mp4 (34.5 MB)
    • 16. Combining multiple visualization #209.srt (6.4 KB)
    • 16.1 209 -comb.multiple visualization.py (1.8 KB)
    • 17. style sheet and rcParams#210.mp4 (49.4 MB)
    • 17. style sheet and rcParams#210.srt (11.6 KB)
    • 17.1 210.py (1.2 KB)
    • 18. Artist objects to render on the canvas#212.mp4 (38.2 MB)
    • 18. Artist objects to render on the canvas#212.srt (9.3 KB)
    • 18.1 212.py (1.2 KB)
    • 19. Object containers#213.mp4 (36.8 MB)
    • 19. Object containers#213.srt (12.3 KB)
    • 19.1 212.py (1.2 KB)
    • 2. Scatter plot with MatplotLib.mp4 (18.6 MB)
    • 2. Scatter plot with MatplotLib.srt (3.5 KB)
    • 20. Tick Containers #214.mp4 (11.1 MB)
    • 20. Tick Containers #214.srt (3.3 KB)
    • 20.1 212.py (1.2 KB)
    • 21. Controlling the legends.mp4 (41.8 MB)
    • 21. Controlling the legends.srt (10.5 KB)
    • 21.1 214.py (1.2 KB)
    • 22. Legend location.mp4 (25.7 MB)
    • 22. Legend location.srt (5.9 KB)
    • 22.1 legend locate.py (2.0 KB)
    • 23. Legend Handlers.mp4 (38.6 MB)
    • 23. Legend Handlers.srt (10.3 KB)
    • 23.1 218.py (2.9 KB)
    • 24. styling with cycler.mp4 (48.0 MB)
    • 24. styling with cycler.srt (11.5 KB)
    • 24.1 219.py (0.8 KB)
    • 25. Grid Spec and other function.mp4 (76.0 MB)
    • 25. Grid Spec and other function.srt (15.5 KB)
    • 25.1 220.py (1.8 KB)
    • 3. StackPlot #191.mp4 (40.8 MB)
    • 3. StackPlot #191.srt (6.4 KB)
    • 4. Pie Chart with Matplot Lib #194.mp4 (53.1 MB)
    • 4. Pie Chart with Matplot Lib #194.srt (6.7 KB)
    • 5. Loading Data from files for Matplotlib #196.mp4 (74.6 MB)
    • 5. Loading Data from files for Matplotlib #196.srt (10.7 KB)
    • 6. Data from Internet and converting dates matplotlib #197.mp4 (65.8 MB)
    • 6. Data from Internet and converting dates matplotlib #197.srt (9.4 KB)
    • 6.1 197 code.pyplot as plt (0.1 KB)
    • 7. pyplot 1 -Basic #198.mp4 (9.9 MB)
    • 7. pyplot 1 -Basic #198.srt (3.8 KB)
    • 8. pyplot 2-Formatting,keyword string,plotting with Categorical variables #200.mp4 (24.3 MB)
    • 8. pyplot 2-Formatting,keyword string,plotting with Categorical variables #200.srt (7.0 KB)
    • 9. Pyplot 3-working with multiple figure and axis #201.mp4 (21.0 MB)
    • 9. Pyplot 3-working with multiple figure and axis #201.srt (6.3 KB)
    3. advanced features
    • 1. Gris spec using SubplotSpec.mp4 (66.8 MB)
    • 1. Gris spec using SubplotSpec.srt (13.6 KB)
    • 1.1 222_a.original (1.0 KB)
    • 1.2 222_new.original (1.0 KB)
    • 2. How to use constraint layout and color bars.mp4 (62.6 MB)
    • 2. How to use constraint layout and color bars.srt (12.6 KB)
    • 2.1 224.py (1.0 KB)
    • 3. legends.mp4 (107.9 MB)
    • 3. legends.srt (22.1 KB)
    • 3.1 225.py (1.1 KB)
    • 4. padding and spacing.mp4 (145.2 MB)
    • 4. padding and spacing.srt (24.0 KB)
    • 4.1 227.py (2.1 KB)
    • 5. Tightlayout.mp4 (123.1 MB)
    • 5. Tightlayout.srt (28.3 KB)
    • 5.1 229.py (1.7 KB)
    • 6. use with grid spec.mp4 (127.9 MB)
    • 6. use with grid spec.srt (23.7 KB)
    • 6.1 use with gridspec.py (2.6 KB)
    • Bonus Resources.txt (0.3 KB)

Description

Matplotlib -A 7hr Comprehensive Course on Data Visualization



MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 32 lectures (6h 12m) | Size: 983.3 MB
This Course is designed for those learners who wish to acquire knowledge on the advance details of data visualization
What you'll learn:
Creating visualizations with Matplotlib
More complicated classes and functions in Matplotlib
Advanced topics for experienced Matplotlib users and developers
Matplotlib has support for visualizing information with a wide array of colors and colormaps. It cover the basics of how these colormaps look, etc

Requirements
Basic understanding of Python language

Description
Matplotlib is one of the most popular Python packages used for data visualization. It is a cross-platform library for making 2D plots from data in arrays. It provides an object-oriented API that helps in embedding plots in applications using Python GUI toolkits such as PyQt, WxPythonotTkinter. It can be used in Python and IPython shells, Jupyter notebook and web application servers also.

Matplotlib is a low level graph plotting library in python that serves as a visualization utility.



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Udemy - Matplotlib -A 7hr Comprehensive Course on Data Visualization

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Download torrent
1.6 GB
seeders:16
leechers:3
Udemy - Matplotlib -A 7hr Comprehensive Course on Data Visualization

Torrent hash: FB012BC4451FE6507B8062C9C7852DF97B6B867A