Spyder #

Hello to all of you, today I will talk about Spyder, a Python IDE. If you have downloaded Anaconda, you have seen Spyder there. It’s an open source, community-developed scientific environment and a Python IDE written in Python. You can find what I’m talking about here. Or you can read it directly here:

Spyder is an open source, community-developed scientific environment and IDE written in Python, for Python. As scientists, engineers and analysts just like you, we built it to combine the power of a comprehensive development tool with the speed of an interactive data exploration package, all in one easy-to-use interface.

Yes, that’s how they introduced themselves. You can also reach their website here. Their GitHub address is here

On which operating systems is it available? #

• Windows: Windows 10+ systems
• Linux
• macOS 14.0+ (M1)
• macOS 12.0+ (Intel) Spyder is available on these operating systems.

How to Download #

I’ll show you how to download without using Anaconda. First you go to this site. Your operating system is already automatically detected, if not, you click on the button for your operating system. So far, mate.

Linux #

Installation with .sh #

It will download you a .sh file. For example my file is called Spyder-Linux-x86_64.sh (it may be different for you). After downloading, open this file with ./file_name.sh and start the installation. For example: ./Spyder-Linux-x86_64.sh. If it asks for administrator permission, you can try sudo ./file_name.sh.

Installation with Package Manager #

Depending on the package manager you are using (not all may work, I haven’t tested it completely):

pip #

pip install spyder

pipx #

pipx install spyder

apt #

apt install spyder

pacman #

pacman -S spyder

yay #

yay spyder

zypper #

zypper install spyder

Windows #

Open the downloaded .exe file and wait for the installation to finish.

macOS #

Install the downloaded .pkg file according to your processor type.

Now, let’s come to my review.

Machine Learning and Artificial Intelligence #

I can create simple and effective projects using certain artificial intelligence libraries and it is compatible with these libraries. For example, I took a ‘dataset’ with sklearn.datasets and parcellated it as X, y. I can see them thanks to a screen. Or when I use matplotlib, I can see my graphics in IDE.It already has a terminal emulator like most IDEs.

Appearance #

The appearance is very minimal. It is not confusing, it will be easy for a beginner to get used to.

General #

There is nothing much to say. I can say A wonderful and excellent IDE. Now let’s come to the details of Spyder.

Other Details of Spyder #

They are using the PyQt5 plugin library. I hope they will switch to PyQt6 soon. What I’m talking about is mentioned here.

There is more detailed information about other things they use here.

It was an amateur article 😢 . Thanks for reading it anyway. Have a good day.