Professional developer tools for data scientists and data engineers
PyCharm for Data Scientists
PyCharm Professional integrates with Jupyter Notebook to combine the interactive nature of Jupyter Notebook with the benefits of the most intelligent Python IDE. In addition to the built-in Python coding assistance, you can also install a plugin that adds the R support.
PyCharm Professional combines the full intelligence of its code editor with the collaborative and interactive capabilities of Jupyter notebooks. Work with local or remote Jupyter notebooks as you would do in a web-based Jupyter application, but with intelligent coding assistance and overall ergonomics the IDE provides to let you keep your focus on the code and the data.
PyCharm Professional makes it easy for you to create and select the right environment — keep your dependencies isolated by having separate Conda environments per project.
Jupyter Notebook integration not only includes auto-completion, navigation and code analysis, but provides a full-featured graphical debugger with the ability to step into declarations.
PyCharm Professional has built-in support for scientific libraries. It supports Pandas, Numpy, Matplotlib, and other scientific libraries, offering you best-in-class code intelligence, graphs, array viewers and much more.
Try PyCharm Professional and make it a new home for your data science experiments
Get nowDatalore for Data Science Teams
Datalore is a collaborative data science platform that is available for everyone online and for companies as an on-premises installation. Datalore streamlines insight delivery and helps data science and business teams be incredibly productive together. Datalore is easy and intuitive, and it’s free for individuals and teams of up to 4.
Avoid going back and forth between Jupyter notebooks and your SQL database tools, S3 interface, or file browser. Easily connect and query PostgreSQL, Snowflake, Amazon Redshift, AWS S3, GCS buckets, and more.
Get coding assistance for Python, SQL, R, Scala, and Kotlin, and automate routine tasks with instant visualizations, out-of-the-box statistics, and scheduled runs.
Easily share notebooks, data, scripts, environments, and reports. Organize team projects in shared workspaces and edit notebooks and scripts together with your team in real time.
Impress your stakeholders with clean, interactive data apps built from notebooks with just a few clicks.
DataGrip is a smart tool for relational and NoSQL databases. It provides context-sensitive code completion, helping you write SQL code faster. DataGrip’s code completion is aware of table structures, foreign keys, and even database objects created in the code you're editing. DataGrip allows you to view a database's structure and the relationships between objects through database diagrams, export query results in a convenient format, and keep your work safe with version control.
Execute queries in different modes and keep track of all your activity with local history, preventing you from losing your work.
Сontext-sensitive code completion helps you write SQL code faster. DataGrip is aware of the table structure, foreign keys, and even database objects created in the code you're editing.
In addition to the ability to import from script files, CSV, TSV, or any text files with delimiter-separated values, you can export data in the format of your choice, including CSV, JSON, HTML, Markdown, Excel, and many others – you can even create your own!
The powerful data editor lets you add, remove, edit, filter, and clone data rows. Navigate through the data via foreign keys. Use the text search to find anything in your data, and it will be displayed right in the data editor.
Add DataGrip to your toolset to master your SQL queries and run them efficiently and conveniently.
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