What is Python Spyder IDE and How to use it?
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:
- What is Python Spyder IDE?
- Features of Spyder
- Python Spyder IDE Installation
- Creating a file/ Starting a Project
- Writing the Code
- Variable Explorer
- File Explorer
- Configuring Spyder
- Help
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
Python Spyder IDE Installation ( Installing with Anaconda — Recommended)
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:
- Choose the version that is suitable for your OS and click on Download.
- 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:
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:
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:
To 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:
Code cells:
You can define code cells easily using the following:
For example, when you use the Standard cell separator, you will see that the code has been separated as follows:
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.
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.
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 P references option. You will see the following window which will allow you to configure Spyder according to your choice:
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:
As 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.
If you wish to check out more articles on the market’s most trending technologies like Artificial Intelligence, DevOps, Ethical Hacking, then you can refer to Edureka’s official site.
Do look out for other articles in this series which will explain the various other aspects of Python and Data Science.
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4. Python Libraries For Data Science And Machine Learning
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11. Exploratory Data Analysis In Python
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17. Python SciPy
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20. Python Basics
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24. What is Socket Programming in Python
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26. Top 10 Best Books To Learn & Practice Python
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34. Python Tutorial
Originally published at https://www.edureka.co on September 11, 2019.
