Update: If you want to test and install Rodeo on Linux (Ubuntu), I wrote a bash script ( Installing Rodeo on Linux) for making the installation more automatic. The version installed I installed via pip (i.e., pip install -U rodeo) is 0.44 and is a flask app.
Think of it as a light weight alternative to the IPython Notebook.Īs you can see in the images below the graphical interfaces of Rodeo (left) and RStudio (right) is quite similar. Rodeo is an IDE that’s built expressly for doing data science in Python. Using the Ace Editor, Rodeo also look like RStudio.
I also show how to open and run a Python script. In the video above you can see one way to start Rodeo IDE on Ubuntu.
Rodeo uses the Ace Editor as the underlying layer, which is the same that powers RStudio. Recently I read a blog post (RStudio Clone for Python – Rodeo) in which the author asked the following question: So have you been looking for something like RStudio, but for Python? (Italicized by me). Which IDEs are the best alternatives? Rodeo – a RStudio clone? Therefore, Python with the right IDE is also a competitor to Matlab. Many cognitive scientists have been using Matlab for both for collecting data (i.e., programming experiments) and analysing data. I have noticed that when handling a lot of data my Python scripts tend to be quicker than the ones I produce in R (might get back to this in a future post). Python is a general-purpose language whereas R is a statistical programming language. I use both Python and R python for creating Psychology experiments and R for data analysis. But also users of the other, more graphical interface (GUI) centred, software (e.g., STATA, SPSS) should also consider moving to open source software.
R and Python are free and open source alternatives to, mainly, Matlab. Many researchers use software such as SPSS, STATA, Mplus, and Matlab for doing their analysis. That is, Rodeo and Spyder can both be seen as the RStudio for Python. 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. In this post I will discuss two Python Integrated Development Environments (IDE) Rodeo and Spyder.
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