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
GS
Gaurav S.
08/01/2020
Validated Reviewer
Review source: G2 invite
Incentivized Review

Best IDE for python developers

Easy to use UI and integration with anaconda, kite.
Verified User in Automotive
UA
Verified User in Automotive
01/03/2020
Validated Reviewer
Review source: G2 invite
Incentivized Review

Spyder

Best part of Spyder IDE is it looks like Matlab, GUI is quite similar, It supports script run. We can debug the code easily and another thing is we can preview the data without loading that in Pyhton Memory. It provides the file managements as well.
AO
Assem O.
11/20/2019
Validated Reviewer
Review source: Organic

good interface

an easy program interface for using code of python and has good result when using code

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