Awesome scientific environment written in Python, for Python!

Spyder Python (32-bit)

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Download Spyder Python 2.3.8 (32-bit)

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  • Latest Version:

    Spyder Python 2.3.8 (32-bit) LATEST

  • Requirements:

    Windows XP / Vista / Windows 7 / Windows 8 / Windows 10

  • User Rating:

    Click to vote
  • Author / Product:

    Pierre Raybaut / Spyder Python (32-bit)

  • Old Versions:

  • Filename:

    spyder-2.3.8.win32-py3.4.exe

  • MD5 Checksum:

    e935778f71a50a2197ba561d8ba07f70

  • Details:

    Spyder Python (32-bit) 2020 full offline installer setup for PC

Spyder is a powerful scientific environment written in Python, for Python, and designed by and for scientists, engineers, and data analysts. It offers a unique combination of the advanced editing, analysis, debugging, and profiling functionality of a comprehensive development tool with the data exploration, interactive execution, deep inspection, and beautiful visualization capabilities of a scientific package.

Beyond its many built-in features, its abilities can be extended even further via its plugin system and API. Furthermore, Spyder can also be used as a PyQt5 extension library, allowing developers to build upon its functionality and embed its components, such as the interactive console, in their own PyQt software. Core building blocks of a powerful IDE!



The easy way to get up and running with Spyder Python on any of the supported platforms is to download it as part of the Anaconda distribution and use the conda package and environment manager to keep it and your other packages installed and up to date.

Features and Highlights

Editor
Work efficiently in a multi-language editor with a function/class browser, code analysis tools, automatic code completion, horizontal/vertical splitting, and go-to-definition.

IPython Console
Harness the power of as many IPython consoles as you like within the flexibility of a full GUI interface; run your code by line, cell, or file; and render plots right inline.

Variable Explorer
Interact with and modify variables on the fly: plot a histogram or time-series, edit a data frame or Numpy array, sort a collection, dig into nested objects, and more!

Profiler
Find and eliminate bottlenecks to unchain your code's performance.

Debugger
Trace each step of your code's execution interactively.

Help
Instantly view any object's docs, and render your own.


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