Product Avatar Image

Spyder

Show rating breakdown
61 reviews
  • 1 profiles
  • 1 categories
Average star rating
4.4
Serving customers since

Profile Name

Star Rating

41
18
2
0
0

Spyder Reviews

Review Filters
Profile Name
Star Rating
41
18
2
0
0
Verified User in Automotive
UA
Verified User in Automotive
10/19/2019
Validated Reviewer
Review source: G2 invite
Incentivized Review

Perfect IDE for one stop python development

Easy to use and build a python project. The software is Open source. With variable watch window for easier debugging and understanding of the code
NS
Neha S.
10/12/2019
Validated Reviewer
Verified Current User
Review source: G2 invite
Incentivized Review

Great IDE to work in Python by Anaconda

Work environment is great in order to debug the code.
Abhishek S.
AS
Abhishek S.
MEAN stack developer
10/11/2019
Validated Reviewer
Verified Current User
Review source: G2 invite
Incentivized Review

Spyder is the Best Python IDE.

Spyder is one of the best Python. Here are some feature about Spyder that i like: 1. Inbuilt IPython console which helps experimenting with the output of the script. 2. Plot graphs and export it in different formats. Even you can make changes to graph and see the changes in real tie. 3. You can running multiple scripts in a single page explicitly.

About

Contact

HQ Location:
N/A

Social

@pypi

What is Spyder?

Spyder is a powerful interactive development environment (IDE) for the Python programming language, designed by and for scientists, engineers, and data analysts. It offers a unique combination of advanced editing, analysis, debugging, and profiling functionality of a comprehensive development tool with the data exploration, interactive execution, deep inspection, and visualization capabilities of a scientific package. Key features of Spyder include:\n- An interactive execution mode which allows you to run lines of code or blocks interactively.\n- A variable explorer that allows you to view and edit variables currently in memory.\n- Integration with essential scientific libraries such as NumPy, SciPy, Matplotlib, Pandas, among others.\n- An advanced debugging experience with support for conditional breakpoints, and remote debugging.\n- Tools for unit testing, version control and project management.This IDE also provides a layout that is both user-friendly and customizable to fit the workflow preferences of different users. The integration with tools like IPython, Anaconda, and various other packages helps in enriching the development experience, fostering an environment that boosts scientific productivity.

Details

Website
pypi.org