Data scientists must have strong skills in analyzing and managing large and complex data sets. However, data management can be challenging, especially if you are relatively new to this field. However, as the field of data science evolves, technology companies need to keep up with data scientists and provide them with the tools to increase their productivity. For this reason, many web applications and extensions have been developed to make it easier to access and analyze data sources and to collaborate effectively with colleagues.
If you are into data science and looking for tools to make your work easier and more enjoyable, you can try the following Chrome extensions to boost your productivity, whether you are a data newbie or an analytics and management pro:
1- Instant Data Grabber:
Instant Data Grabber has an intuitive interface that makes it easy to read and extract data from web pages. It has a wide range of features to help researchers and data scientists extract data from websites efficiently. The plugin also allows to export the extracted data in various formats such as Excel, CSV or JSON.
Another advantage of this extension is that you can use it to extract data from multiple websites at the same time. It also helps you save time and effort searching for data. In addition, the Instant Data Scraper add-on includes a data preview tool that allows you to check the extracted data before exporting for accuracy and correctness.
2- DECS - Code Snippets Manager:
Data scientists use DECS - Code Snippets Manager to develop and analyze code. They can be used to organize code into custom folders and categorize them by programming language, machine learning model, algorithm, or other criteria.
The plugin is also useful for sharing and collaborating on code, finding solutions to problems, and exchanging ideas. The plug-in integrates with code editors such as Visual Studio Code, allowing you to synchronize code across different systems.
In addition, DECS includes elements that allow users to monitor code changes over time. This feature helps data scientists to test different algorithms, models or analysis methods.
3- Distil Web Monitor:
Distil Web Monitor tracks specific websites, checks for changes to monitored pages, and sends push notifications and email alerts to let you know about updates and changes to websites you track.
The plugin is useful for data scientists who need to be aware of primary data sources, publications, research papers, or any other online information that may influence their work.
Disstill Web Monitor also provides the ability to compare the previous and current versions of the pages you want to monitor to identify changes, additions, or deletions, and to help you track updates and find information.
In addition, the add-on is compatible with some popular data analysis applications, such as: Google Sheets and Zapier. This compatibility allows you to export the data you get while monitoring your website and then start working on it, increasing your productivity and workflow efficiency.
4- Open in colab:
The Open in Colab plug-in increases productivity and facilitates the use of the popular Google Colab coding system. Commonly used by data scientists, machine learning enthusiasts, and developers, the plugin opens Jupyter notebooks directly in Google Colab with a single click.
This plugin allows you to easily import Jupyter notebooks into the Google Colab platform. Open in Colab also includes settings to customize the import process to your needs, which streamlines your workflow.
Also, you can use this extension to collaborate with others and share code in Colab. With these features, you can use the Open in Colab plug-in to maintain and reproduce an environment suitable for running and reproducing code.