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Google Cloud RunA comprehensive managed compute platform designed to rapidly and securely deploy and scale containerized applications. Developers can utilize their preferred programming languages such as Go, Python, Java, Ruby, Node.js, and others. By eliminating the need for infrastructure management, the platform ensures a seamless experience for developers. It is based on the open standard Knative, which facilitates the portability of applications across different environments. You have the flexibility to code in your style by deploying any container that responds to events or requests. Applications can be created using your chosen language and dependencies, allowing for deployment in mere seconds. Cloud Run automatically adjusts resources, scaling up or down from zero based on incoming traffic, while only charging for the resources actually consumed. This innovative approach simplifies the processes of app development and deployment, enhancing overall efficiency. Additionally, Cloud Run is fully integrated with tools such as Cloud Code, Cloud Build, Cloud Monitoring, and Cloud Logging, further enriching the developer experience and enabling smoother workflows. By leveraging these integrations, developers can streamline their processes and ensure a more cohesive development environment.
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.
What is IDLE?
IDLE is a user-friendly Integrated Development and Learning Environment for Python, catering to both developers and learners.
Some of its standout features include:
- It is entirely built with pure Python and utilizes the tkinter GUI toolkit for its graphical interface.
- The environment is designed to be compatible across various platforms, ensuring that users experience uniformity whether they are on Windows, Unix, or macOS.
- A built-in Python shell window acts as an interactive interpreter, showcasing code input, output, and errors with distinct color coding for clarity.
- The multi-window text editor is equipped with an array of advanced features, including multiple undo capabilities, syntax highlighting for Python, smart indentation, call tips, auto-completion, and other tools that significantly boost coding efficiency.
- Users can easily search within any window, replace text in the editor, and execute searches across multiple files with functionalities akin to grep.
- The integrated debugger facilitates persistent breakpoints, step-through capabilities, and allows users to inspect both global and local namespaces for better code management.
- Additionally, IDLE offers various configuration options, browser functionalities, and dialog boxes to tailor the user experience to individual preferences.
Together, these features establish IDLE as an essential tool for anyone delving into Python programming, ensuring a smooth and efficient coding journey.
Integrations Supported
Python
Amazon Q Developer
Augment Code
Code With Me
Cody
Continue
Docker
Firebender
Goose
JetBrains Gateway
Integrations Supported
Python
Amazon Q Developer
Augment Code
Code With Me
Cody
Continue
Docker
Firebender
Goose
JetBrains Gateway
API Availability
Has API
API Availability
Has API
Pricing Information
$229
Free Trial Offered?
Free Version
Pricing Information
Free
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
JetBrains
Date Founded
2000
Company Location
Czech Republic
Company Website
www.jetbrains.com/dataspell/
Company Facts
Organization Name
Python
Date Founded
1990
Company Website
docs.python.org/3/library/idle.html
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
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