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features
design
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What is Spyder?

Spyder's multi-language editor is equipped with an impressive array of tools aimed at improving the editing experience, ensuring that it remains accessible and efficient for users. Key highlights include syntax highlighting facilitated by pygments, instantaneous code and style assessments made possible through pyflakes and pycodestyle, and enhanced autocompletion features along with calltips and navigation tools supported by rope and jedi. Users benefit from a comprehensive function and class browser, as well as the ability to split windows both horizontally and vertically, among various other features. Furthermore, the integrated IPython console allows for the execution of commands and direct interaction with data within IPython interpreters, thus fostering a fluid workflow. The variable explorer adds another layer to this functionality by enabling users to delve into and manage the objects generated by their code, showcasing the namespace contents of the active IPython session in detail. This tool not only displays global objects, variables, and class instances but also incorporates GUI-based editing capabilities for adding, deleting, or altering values, thereby nurturing a highly engaging coding environment. In conclusion, Spyder artfully merges these extensive features to craft a powerful platform for developers who wish to enhance their coding efficiency and productivity. With its focus on usability and functionality, Spyder stands out as a valuable resource for programmers at all levels.

What is JetBrains DataSpell?

Effortlessly toggle between command and editor modes with a single keystroke while using arrow keys to navigate through cells. Utilize the full range of standard Jupyter shortcuts to create a more seamless workflow. Enjoy the benefit of interactive outputs displayed immediately below the cell, improving visibility and comprehension. While working on code cells, take advantage of smart code suggestions, real-time error detection, quick-fix features, and efficient navigation, among other helpful tools. You can work with local Jupyter notebooks or easily connect to remote Jupyter, JupyterHub, or JupyterLab servers straight from the IDE. Execute Python scripts or any expressions interactively in a Python Console, allowing you to see outputs and variable states as they change. Divide your Python scripts into code cells using the #%% separator, which enables you to run them sequentially like in a traditional Jupyter notebook. Furthermore, delve into DataFrames and visual displays in real time with interactive controls, while benefiting from extensive support for a variety of popular Python scientific libraries, such as Plotly, Bokeh, Altair, and ipywidgets, among others, ensuring a thorough data analysis process. This robust integration not only streamlines your workflow but also significantly boosts your coding productivity. As you navigate this environment, you'll find that the combination of features enhances your overall coding experience.

Media

Media

Integrations Supported

Jupyter Notebook
Python
Amazon Q Developer
Code With Me
Codebuddy
Cody
Continue
Docker
EasyCode
JupyterHub
JupyterLab
Kite
Latta
Markdown
Qodo
R
SQL
Supermaven
Zencoder
pandas

Integrations Supported

Jupyter Notebook
Python
Amazon Q Developer
Code With Me
Codebuddy
Cody
Continue
Docker
EasyCode
JupyterHub
JupyterLab
Kite
Latta
Markdown
Qodo
R
SQL
Supermaven
Zencoder
pandas

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$229
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Spyder

Company Website

www.spyder-ide.org

Company Facts

Organization Name

JetBrains

Date Founded

2000

Company Location

Czech Republic

Company Website

www.jetbrains.com/dataspell/

Categories and Features

IDE

Code Completion
Compiler
Cross Platform Support
Debugger
Drag and Drop UI
Integrations and Plugins
Multi Language Support
Project Management
Text Editor / Code Editor

Categories and Features

Data Science

Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports

IDE

Code Completion
Compiler
Cross Platform Support
Debugger
Drag and Drop UI
Integrations and Plugins
Multi Language Support
Project Management
Text Editor / Code Editor

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