23 OCT 2025 - We are back! If you have been following us over the last few years, you will know that the last 2 months have been rough. We website was practically not loading. Sorry for the mess. We are back though and everything should run smoothly now. New servers. Updated domains. And new owners. We invite you all to start uploading torrents again!
TORRENT DETAILS
Data Visualization With Python And Matplotlib
TORRENT SUMMARY
Status:
All the torrents in this section have been verified by our verification system
Data Visualization with Python and Matplotlib Download
Python,Data Visualization,Matplotlib
What you'll learn
Visualize multiple forms of both 2D and 3D graphs, like line graphs, scatter plots, bar charts, and more Load data from files or from internet sources for data visualization. Create live graphs Customize graphs, modifying colors, lines, fonts, and more Visualize Geographical data on maps
Requirements
Students should be comfortable with the basics of the Python 3 programming language Python 3 should be already installed, and students should already know how open IDLE or their own favorite editor to write programs in.
Description
More and more people are realising the vast benefits and uses of analysing big data. However, the majority of people lack the skills and the time needed to understand this data in its original form. That's where data visualisation comes in; creating easy to read, simple to understand graphs, charts and other visual representations of data. Python 3 and Matplotlib are the most easily accessible and efficient to use programs to do just this.
Learn Big Data Python
Visualise multiple forms of 2D and 3D graphs; line graphs, scatter plots, bar charts, etc.
Load and organise data from various sources for visualisation
Create and customise live graphs
Add finesse and style to make your graphs visually appealling
Python Data Visualisation made Easy
With over 58 lectures and 6 hours of content, this course covers almost every major chart that Matplotlib is capable of providing. Intended for students who already have a basic understanding of Python, you'll take a step-by-step approach to create line graphs, scatter plots, stack plots, pie charts, bar charts, 3D lines, 3D wire frames, 3D bar charts, 3D scatter plots, geographic maps, live updating graphs, and virtually anything else you can think of!
Starting with basic functions like labels, titles, window buttons and legends, you'll then move onto each of the most popular types of graph, covering how to import data from both a CSV and NumPy. You'll then move on to more advanced features like customised spines, styles, annotations, averages and indicators, geographical plotting with Basemap and advanced wireframes.
This course has been specially designed for students who want to learn a variety of ways to visually display python data. On completion of this course, you will not only have gained a deep understanding of the options available for visualising data, but you'll have the know-how to create well presented, visually appealing graphs too.
Tools Used
Python 3: Python is a general purpose programming language which a focus on readability and concise code, making it a great language for new coders to learn. Learning Python gives a solid foundation for learning more advanced coding languages, and allows for a wide variety of applications.
Matplotlib: Matplotlib is a plotting library that works with the Python programming language and its numerical mathematics extension 'NumPy'. It allows the user to embed plots into applications using various general purpose toolkits (essentially, it's what turns the data into the graph).
IDLE: IDLE is an Integrated Development Environment for Python; i.e where you turn the data into the graph. Although you can use any other IDE to do so, we recommend the use of IDLE for this particular course.
Who this course is for:
Students should not take this course without a basic understanding of Python. Students seeking to learn a variety of ways to visually display data Students who seek to gain a deep understanding of options for visualizing data. Students should not take this course if they are only looking for a brief summary of how to quickly display data.
visit for more freetutorials
VISITOR COMMENTS (0 )
FILE LIST
Filename
Size
Data Visualization with Python and Matplotlib/01 Course Introduction/001 Introduction.jpeg
290.4 KB
Data Visualization with Python and Matplotlib/01 Course Introduction/001 Introduction.mp4
71.6 MB
Data Visualization with Python and Matplotlib/01 Course Introduction/002 Getting Matplotlib And Setting Up.mp4
24.2 MB
Data Visualization with Python and Matplotlib/01 Course Introduction/Must Read.txt
540 B
Data Visualization with Python and Matplotlib/02 Different types of basic Matplotlib charts/001 Section Intro.mp4
34.1 MB
Data Visualization with Python and Matplotlib/02 Different types of basic Matplotlib charts/002 Basic matplotlib graph.mp4
17.3 MB
Data Visualization with Python and Matplotlib/02 Different types of basic Matplotlib charts/003 Labels, titles and window buttons.mp4
25.2 MB
Data Visualization with Python and Matplotlib/02 Different types of basic Matplotlib charts/004 Legends.mp4
13.8 MB
Data Visualization with Python and Matplotlib/02 Different types of basic Matplotlib charts/005 Bar Charts.mp4
13.2 MB
Data Visualization with Python and Matplotlib/02 Different types of basic Matplotlib charts/006 Histograms.mp4
15.7 MB
Data Visualization with Python and Matplotlib/02 Different types of basic Matplotlib charts/007 Scatter Plots.mp4
18.1 MB
Data Visualization with Python and Matplotlib/02 Different types of basic Matplotlib charts/008 Stack Plots.mp4
24.2 MB
Data Visualization with Python and Matplotlib/02 Different types of basic Matplotlib charts/009 Pie Chart.mp4
17 MB
Data Visualization with Python and Matplotlib/02 Different types of basic Matplotlib charts/010 Loading data from a CSV.mp4
12.2 MB
Data Visualization with Python and Matplotlib/02 Different types of basic Matplotlib charts/011 Loading data with NumPy.mp4
13.8 MB
Data Visualization with Python and Matplotlib/02 Different types of basic Matplotlib charts/012 Section Outro.mp4
21.2 MB
Data Visualization with Python and Matplotlib/03 Basic Customization Options/001 Section Intro.mp4
32.3 MB
Data Visualization with Python and Matplotlib/03 Basic Customization Options/002 Source for our Data.mp4
45.1 MB
Data Visualization with Python and Matplotlib/03 Basic Customization Options/003 Parsing stock prices from the internet.mp4
51 MB
Data Visualization with Python and Matplotlib/03 Basic Customization Options/004 Plotting basic stock data.mp4
30 MB
Data Visualization with Python and Matplotlib/03 Basic Customization Options/005 Modifying labels and adding a grid.mp4
29.7 MB
Data Visualization with Python and Matplotlib/03 Basic Customization Options/006 Converting from unix time and adjusting subplots.mp4
50.1 MB
Data Visualization with Python and Matplotlib/03 Basic Customization Options/007 Customizing ticks.mp4
33.7 MB
Data Visualization with Python and Matplotlib/03 Basic Customization Options/008 Fills and Alpha.mp4
30.7 MB
Data Visualization with Python and Matplotlib/03 Basic Customization Options/009 Add, remove, and customize spines.mp4
40.5 MB
Data Visualization with Python and Matplotlib/03 Basic Customization Options/010 Candlestick OHLC charts.mp4
49.4 MB
Data Visualization with Python and Matplotlib/03 Basic Customization Options/011 Styles with Matplotlib.mp4
44.4 MB
Data Visualization with Python and Matplotlib/03 Basic Customization Options/012 Creating our own Style.mp4
42.5 MB
Data Visualization with Python and Matplotlib/03 Basic Customization Options/013 Live Graphs.mp4
29.1 MB
Data Visualization with Python and Matplotlib/03 Basic Customization Options/014 Adding and placing text.mp4
16.2 MB
Data Visualization with Python and Matplotlib/03 Basic Customization Options/015 Annotating a specific plot.mp4
53.2 MB
Data Visualization with Python and Matplotlib/03 Basic Customization Options/016 Dynamic annotation of last price.mp4
46.1 MB
Data Visualization with Python and Matplotlib/03 Basic Customization Options/017 Section Outro.mp4
44.7 MB
Data Visualization with Python and Matplotlib/03 Basic Customization Options/ReadMe.txt
538 B
Data Visualization with Python and Matplotlib/04 Advanced Customization Options/001 Section Intro.mp4
23.8 MB
Data Visualization with Python and Matplotlib/04 Advanced Customization Options/002 Basic suplot additions.mp4
27.8 MB
Data Visualization with Python and Matplotlib/04 Advanced Customization Options/003 Subplot2grid .mp4
23.2 MB
Data Visualization with Python and Matplotlib/04 Advanced Customization Options/004 Incorporating changes to candlestick graph.mp4
43.6 MB
Data Visualization with Python and Matplotlib/04 Advanced Customization Options/005 Creating moving averages with our data.mp4
63.3 MB
Data Visualization with Python and Matplotlib/04 Advanced Customization Options/006 Adding a High minus Low indicator to graph.mp4
29 MB
Data Visualization with Python and Matplotlib/04 Advanced Customization Options/007 Customizing the dates that show.mp4
68.1 MB
Data Visualization with Python and Matplotlib/04 Advanced Customization Options/008 Label and Tick customizations.mp4
52 MB
Data Visualization with Python and Matplotlib/04 Advanced Customization Options/009 Share X axis.mp4
54.8 MB
Data Visualization with Python and Matplotlib/04 Advanced Customization Options/010 Multi Y axis.mp4
64.4 MB
Data Visualization with Python and Matplotlib/04 Advanced Customization Options/011 Customizing Legends.mp4
66 MB
Data Visualization with Python and Matplotlib/04 Advanced Customization Options/012 Section Outro.mp4
32.1 MB
Data Visualization with Python and Matplotlib/05 Geographical Plotting with Basemap/001 Section Intro.mp4
31.2 MB
Data Visualization with Python and Matplotlib/05 Geographical Plotting with Basemap/002 Downloading and installing Basemap.mp4
29.8 MB
Data Visualization with Python and Matplotlib/05 Geographical Plotting with Basemap/003 Basic basemap example.mp4
21.2 MB
Data Visualization with Python and Matplotlib/05 Geographical Plotting with Basemap/004 Customizing the projection.mp4
32.8 MB
Data Visualization with Python and Matplotlib/05 Geographical Plotting with Basemap/005 More customization, like colors, fills, and forms of boundaries.mp4
31 MB
Data Visualization with Python and Matplotlib/05 Geographical Plotting with Basemap/006 Plotting Coordinates.mp4
34.2 MB
Data Visualization with Python and Matplotlib/05 Geographical Plotting with Basemap/007 Connecting Coordinates.mp4
29.8 MB
Data Visualization with Python and Matplotlib/05 Geographical Plotting with Basemap/008 Section Outro.mp4
22.6 MB
Data Visualization with Python and Matplotlib/05 Geographical Plotting with Basemap/ReadMe.txt
538 B
Data Visualization with Python and Matplotlib/06 3D graphing/001 Section Intro.mp4
33.9 MB
Data Visualization with Python and Matplotlib/06 3D graphing/002 Basic 3D graph example using wire_frame.mp4
22.6 MB
Data Visualization with Python and Matplotlib/06 3D graphing/003 3D scatter plots.mp4
23.1 MB
Data Visualization with Python and Matplotlib/06 3D graphing/004 3D Bar Charts.mp4
26.2 MB
Data Visualization with Python and Matplotlib/06 3D graphing/005 More advanced Wireframe example.mp4
27.3 MB
Data Visualization with Python and Matplotlib/06 3D graphing/006 Section outro.mp4
21.4 MB
Data Visualization with Python and Matplotlib/07 Course Conclusion/001 Conclusion.mp4
67.4 MB
Data Visualization with Python and Matplotlib/07 Course Conclusion/ReadMe.txt
538 B
Data Visualization with Python and Matplotlib/ReadMe.txt
