Spyder

PyCharm vs Spyder: a quick comparison of two Python IDEs

by

In this post, PyCharm vs Spyder will be compared. If you have followed my blog you may have noticed that a lot of focus has been put on how to learn programming (particularly in Python). I have also written about Integrated Development Environments (IDEs). I think that an IDE may, in fact, be very useful when learning how to code. Of course, when it comes to Python IDEs it may be hard to choose the best one (e.g., PyCharm vs Spyder?).

Spyder is one of my long-time favorite IDEs, and I am mainly using Spyder when I have to write code in Windows environments. However, in one of my blog posts PyCharm was suggested in one comment (see the comments on this post: Why Spyder is the Best Python IDE for Science) that I should test PyCharm.

Read more

Why Spyder is the Best Python IDE for Science

by

Spyder is the best Python IDE I have used for data analysis, scientific computing, and general Python development. I’ve been using it for years, and despite trying alternatives such as PyCharm, VS Code, and Rodeo, I keep coming back to Spyder. In this post, I’ll explain why it’s my preferred Python IDE, walk through the features I use most often, show you how to install Spyder on Ubuntu, and briefly compare it with Rodeo.

When I first started programming in Python, I used IDLE, the editor included with the standard Python installation. It worked well enough for learning the language, but I eventually wanted something that made data analysis and larger projects easier to manage. Around the same time I started learning R, I discovered RStudio. Its workflow immediately appealed to me and made me look for a Python IDE with a similar focus on interactive programming and data analysis. That’s when I found Spyder.

Read more

RStudio-like Python IDEs – Rodeo and Spyder

by
Spyder IDE a RStudio for Python?

In this post I will discuss two Python Integrated Development Environments (IDE); Rodeo and Spyder. Both Python IDEs might be useful for researchers used to work with R and RStudio (a very good and popular IDE for R) because they offer similar functionalities and graphical interfaces as RStudio. That is, Rodeo and Spyder can both be seen as the RStudio for Python.

Read more