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This article mainly introduces "what are the characteristics of Grid studio". In daily operation, I believe many people have doubts about the characteristics of Grid studio. The editor consulted all kinds of materials and sorted out simple and easy-to-use methods of operation. I hope it will be helpful for you to answer the doubts about "what are the characteristics of Grid studio?" Next, please follow the editor to study!

What are the highlights of this tool?

Grid studio is a web-based application that looks similar to Google Sheets and Microsoft Excel. However, its killer mace is to integrate the Python language.

Almost everyone who has used a computer will naturally use tables to view and edit data. Combining this simple UI with a mature programming language like Python is simply not easy to use.

Scripting in Python is simple: you only need to write a few lines of code to run it. Core integration: read and write

The core of this Python integration is the read-write interface to the spreadsheet, which can establish a high-performance connection between the data in the spreadsheet and the data in the Python process.

You can write data to a table in the following ways:

Sheet ("A1:A3", [1,2,3])

Read data from a table in the following way:

My_matrix = sheet ("A1:A3")

You can read or write data directly in a table in this simple and efficient way to automate the process of data entry, extraction, visualization, etc.

Write customized table functions

While reading and writing through a simple interface is flexible, it is sometimes important to write custom functions that can be called out directly.

In addition to the default functions such as AVERAGE, SUM, IF, you may need other functions, so just write them out!

Def UPPERCASE (a):

Return str (a) uppercase ()

After writing this line of code, call up the function in the table, just like calling a regular function.

Using Python ecology

By leveraging a variety of powerful software packages in the Python ecology, we have immediate access to the best current data science tools, and therefore quick access to powerful models such as linear regression and support vector machines.

Because Grid studio itself is mainly dealing with tabular data, using them as features can quickly call models such as SVM to explore the features hidden behind these data.

Data visualization

In data science, a common task is to visualize data so that "prior knowledge" about data can be obtained. Advanced drawing functions have been built in through the integration of interactive drawing library Plotly.js and Python standard visualization library Matplotlib,Grid studio. We can use advanced drawing features in the vector table format as shown below:

To further explain how to use the features of Grid studio to build visual icons, the project author also shows two cases, namely, crawling web pages and visualizing data distribution, but here focuses on the first case.

Case: estimated normal distribution

The following example shows the power of Grid studio, which can visualize normal distribution through Plotly.js with higher fidelity, and we can see how interactive mapping is done.

Use installation

With so many features introduced earlier, how on earth should we use it? Grid studio is easy to install and use, and can be done with a simple command line.

Git clone

Cd gridstudio & &. / run.sh

As shown above, by downloading the project and running the installation script, we can open the local port in the browser and then use it happily.

At this point, the study on "what are the characteristics of Grid studio" is over. I hope to be able to solve your doubts. The collocation of theory and practice can better help you learn, go and try it! If you want to continue to learn more related knowledge, please continue to follow the website, the editor will continue to work hard to bring you more practical articles!

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