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Spyder

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61 reviews
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4.4
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Spyder Reviews

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Verified User in Computer Software
UC
Verified User in Computer Software
11/18/2019
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Verified Current User
Review source: Organic

Spyder - The most clear web for python programming

Excellent libraries Ease with which coding can be done Excellent Debugging facility Variable explorer options For a beginner this is a platform that we can use without the fear of running into issues. The numpy, scikit learn libraries, the matplotlib and for neural networks tensor flow is like the best of all. You will enjoy coding every minute
AKHILESH R.
AR
AKHILESH R.
Software Engineer - 2 at FICO
10/31/2019
Validated Reviewer
Review source: G2 invite
Incentivized Review

My review on Spyder

Being a python developer I started my journey with Spyder as one of the best Python IDE which helps a lot while developing your skills:- 1 It provides best third party plugins like Spyder UnitTest, Spyder Reports. 2 Easy to download with Anaconda. 3 You can run code in chunks which helps to develop long program step by step and same goes for debugging. 4 Live IPython interaction which makes coding more intuitive as you can further take the output of your program and directly start writing code chunks in spyder ipython terminal. 5 You can do live graph changes.
Zainab P.
ZP
Zainab P.
Computer Scientist at SLAC National Accelerator Laboratory
10/24/2019
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Verified Current User
Review source: G2 invite
Incentivized Review

Spyder for Data Science

Perfect IDE for python development. One of the reasons I prefer spyder is its easy installation as compared to other python IDEs. I just use it with the anaconda navigator, so I don't have to worry about setting paths. The graphing tools are great for data analysis models and it's great for scientific development.

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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.

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