Mastering Python (92 Blogs) Become a Certified Professional
AWS Global Infrastructure

Data Science

Topics Covered
  • Business Analytics with R (26 Blogs)
  • Data Science (20 Blogs)
  • Mastering Python (86 Blogs)
  • Decision Tree Modeling Using R (1 Blogs)
SEE MORE

What is Python Spyder IDE and How to use it?

Last updated on Nov 26,2019 23K Views

3 / 6 Blog from Python Installation

It is always necessary to have interactive environments to create software applications and this fact becomes very important when you work in the fields of Data Science, engineering, and scientific research. The Python Spyder IDE has been created for the same purpose. In this article, you will be learning how to install and make use of Spyder or the Scientific Python and Development IDE.

Before moving on, let’s take a look at all the topics that are discussed over here:

Let’s begin.

What is Python Spyder IDE?

Spyder is an open-source cross-platform IDE. The Python Spyder IDE is written completely in Python. It is designed by scientists and is exclusively for scientists, data analysts, and engineers. It is also known as the Scientific Python Development IDE and has a huge set of remarkable features which are discussed below.

Features of Spyder

Some of the remarkable features of Spyder are:

  • Customizable Syntax Highlighting
  • Availability of  breakpoints (debugging and conditional breakpoints)
  • Interactive execution which allows you to run line, file, cell, etc.
  •  Run configurations for working directory selections, command-line options, current/ dedicated/ external console, etc
  • Can clear variables automatically ( or enter debugging )
  • Navigation through cells, functions, blocks, etc can be achieved through the Outline Explorer
  • It provides real-time code introspection (The ability to examine what functions, keywords, and classes are, what they are doing and what information they contain)
  • Automatic colon insertion after if, while, etc
  • Supports all the IPython magic commands
  • Inline display for graphics produced using Matplotlib
  • Also provides features such as help, file explorer, find files, etc

The Python Spyder IDE comes as a default implementation along with Anaconda Python distribution. This is not just the recommended method but also the easiest one. Follow the steps given below to install the Python Spyder IDE:

  • Go to the official Anaconda website using the following link: https://www.anaconda.com
  • Click on the Download option on the top right as shown below:Anaconda download-Python Spyder IDE-Edureka
  • Choose the version that is suitable for your OS and click on Download. Anaconda download2-Python Spyder IDE-Edureka
  • Once the installer is downloaded, you can see a dialog box for the Setup. Complete the Setup and click on Finish.
  • Then, search for Anaconda Navigator in the search bar of your system and launch Spyder. Once launched, you will see a screen similar to the one below:

spyder-Edureka

Creating a file/ Starting a Project:

  • To start a new file, navigate through as follows:

File–>New File

  • For creating a new project:

Projects–>New Project

Writing the code:

Writing code in Spyder becomes very easy with its multi-language code editor and a number of powerful tools. As mentioned earlier, the editor has features such as syntax highlighting, real-time analysis of code, style analysis, on-demand completion, etc. When you write your code, you will also notice that it gives a clear call stack for methods suggesting all the arguments that can be used along with that method.

Take a look at the example below:

editor-Python Spyder IDE-Edureka

In the above example, you can notice that the editor is showing the complete syntax of the print function. Not just this, in case you have made an error in any line, you will be notified about it before the line number with a message describing what the issue is. Take a look at the image below:

editor2-Python Spyder IDE-EdurekaTo run any file, you can select the Run option and click on run. Once executed, the output will be visible on the Console as shown in the image below:

output Spyder-Edureka

Code cells:

You can define code cells easily using the following:

TypeDescription

#%%

Standard cell separator

# %%

Standard cell separator, when the file has been edited with Eclipse

# <codecell>

IPython notebook cell separator

 

For example, when you use the Standard cell separator, you will see that the code has been separated as follows:

 

Cell separator-Edureka

Variable Explorer:

The Variable Explorer shows all the global objects references such as modules, variables, methods, etc of the current IPython Console. Not just this, you can also interact with these using various GUI based editors.

Variable Explorer-Edureka

File Explorer:

The File Explorer is basically a filesystem and directory browser that allows you to browse, open, and perform other management tasks on the files and folders. You can make use of the context menus functions for operating with them.

File Explorer-Python Spyder IDE-Edureka

Configuring Spyder:

Python Spyder IDE can be configured conveniently using the options present in the preferences menu. You can change anything such as themes, syntax colors, font size, etc. To do this, navigate to Tools menu and then select the Preferences option. You will see the following window which will allow you to configure Spyder according to your choice:

Preferences-Python Spyder IDE-Edureka

Help:

The help pane allows you to find and display documentation of any object you desire.  When you choose the help option, you will be able to see the following options:

help-Python Spyder IDE-EdurekaAs you can see, it has many options that will help you solve any issue you encounter while using the Python Spyder IDE.

Hope you are clear with all that has been shared with you in this tutorial. This brings us to the end of our article on Python Sypder IDE. Make sure you practice as much as possible and revert your experience.  

Got a question for us? Please mention it in the comments section of this “Python Spyder IDE” blog and we will get back to you as soon as possible.

To get in-depth knowledge on Python along with its various applications, you can enroll for live Python online training with 24/7 support and lifetime access. 

Upcoming Batches For Data Science with Python Certification Course
Course NameDateDetails
Data Science with Python Certification Course

Class Starts on 9th November,2024

9th November

SAT&SUN (Weekend Batch)
View Details
Data Science with Python Certification Course

Class Starts on 14th December,2024

14th December

SAT&SUN (Weekend Batch)
View Details
Comments
0 Comments

Join the discussion

Browse Categories

webinar REGISTER FOR FREE WEBINAR
REGISTER NOW
webinar_success Thank you for registering Join Edureka Meetup community for 100+ Free Webinars each month JOIN MEETUP GROUP

Subscribe to our Newsletter, and get personalized recommendations.

image not found!
image not found!

What is Python Spyder IDE and How to use it?

edureka.co