Category: Computer Science

Tableau Public is a platform where authors can visualize their data and share their work with thousands of like-minded data enthusiasts around the world. Every weekday, the Tableau Public team selects one data visualization to be featured as Viz of the Day (VOTD). How are these vizzes selected? How can VOTD benefit you? And how can you get involved? I decided to talk to the Tableau Public team to round out my knowledge about the Viz of the Day program.

follow the link to get started

We’re hurtling towards the end of the year at quite a rate now. For week 49 I found some data via the always excellent Pew Research resource. It contained a chart which in itself is a favourable re-viz of the original, but it was when I navigated to the source data that I found the […]

#MakeoverMonday 2020 Week 49 — learningtableaublog

Welcome! Are you completely new to programming? If not then we presume you will be looking for information about why and how to get started with Python. Fortunately an experienced programmer in any programming language (whatever it may be) can pick up Python very quickly. It’s also easy for beginners to use and learn, so jump in!

Installing

Installing Python is generally easy, and nowadays many Linux and UNIX distributions include a recent Python. Even some Windows computers (notably those from HP) now come with Python already installed. If you do need to install Python and aren’t confident about the task you can find a few notes on the BeginnersGuide/Download wiki page, but installation is unremarkable on most platforms.

Learning

Before getting started, you may want to find out which IDEs and text editors are tailored to make Python editing easy, browse the list of introductory books, or look at code samples that you might find helpful. There is a list of tutorials suitable for experienced programmers on the BeginnersGuide/Tutorials page. There is also a list of resources in other languages which might be useful if English is not your first language. The online documentation is your first port of call for definitive information. There is a fairly brief tutorial that gives you basic information about the language and gets you started. You can follow this by looking at the library reference for a full description of Python’s many libraries and the language reference for a complete (though somewhat dry) explanation of Python’s syntax. If you are looking for common Python recipes and patterns, you can browse the ActiveState Python Cookbook

Looking for Something Specific?

If you want to know whether a particular application, or a library with particular functionality, is available in Python there are a number of possible sources of information. The Python web site provides a Python Package Index (also known as the Cheese Shop, a reference to the Monty Python script of that name). There is also a search page for a number of sources of Python-related information. Failing that, just Google for a phrase including the word ”python” and you may well get the result you need. If all else fails, ask on the python newsgroup and there’s a good chance someone will put you on the right track.

Frequently Asked Questions

If you have a question, it’s a good idea to try the FAQ, which answers the most commonly asked questions about Python.

Looking to Help?

If you want to help to develop Python, take a look at the developer area for further information. Please note that you don’t have to be an expert programmer to help. The documentation is just as important as the compiler, and still needs plenty of work!

Python Beginners

Graphviz is one of the visualization libray. The gratness of graphviz is that it’s a open source visualiztion library. Graphiz widely used in networking applicaiton where to visulaze the connection beteen the swiths hub and differnt networks. When it’s comes to machine leanring used for decision tree and newral networks.

Now let’s look at how to visualise the decision tree with graphviz.

Plotly is a data analytics and visualization tool. Plotly provides online graphing, analytics, and statistics tools for individuals and collaboration, as well as scientific graphing libraries for Python, R, MATLAB, Perl, Julia, Arduino, and REST.

Plotly’s main products include:

1. Dash is an open-source Python framework for building web-based analytic applications.
2. Dash DAQ is a non-open-source package for building data acquisition GUIs to use with scientific instruments. It is built on Dash.
3. Plot.ly has a graphical user interface for importing and analyzing data into a grid and using stats tools.
4. API libraries for Python, R, MATLAB, Node.js, Julia and Arduino and a REST API. Plotly can also be used to style interactive graphs with Jupyter notebook.
5. Figure Converters which convert matplotlib, ggplot2,  and IGOR Pro graphs into interactive, online graphs.
6. Plotly Apps for Google Chrome.
7. Plotly.js is an open source JavaScript library for creating graphs and dashboards.
8. Plotly Enterprise an on-premises installation of Plotly

follow the link: https://plot.ly/#/