The Python 2 vs. Python 3 divide has long been a thorn in the Python community’s side. On one hand, Python package developers face the challenge of supporting two incompatible versions of Python, which is time that could be better…
Tag: pandas
Filling in Python’s gaps in statistics packages with Rmagic
Have you ever found yourself searching for a statistics package in Python, but it just isn’t available? This is the biggest reason I’ve heard when my colleagues say they’re unwilling to make the switch from R to Python for statistical…
Posted in ipython, productivity, python, statistics, tutorial Tagged with: ipython, pandas, python, R language, Rmagic, statistics, tutorial
Statistical analysis made easy in Python with SciPy and pandas DataFrames
I finally got around to finishing up this tutorial on how to use pandas DataFrames and SciPy together to handle any and all of your statistical needs in Python. This is basically an amalgamation of my two previous blog posts…
Posted in ipython, productivity, python, statistics, tutorial Tagged with: analysis of variance, ANOVA, bootstrap, confidence interval, data management, ipython, Mann-Whitney-Wilcoxon, MWW, notebook, pandas, plotting data, python, RankSum, research, standard error, statistics, tutorial
Using pandas DataFrames to process data from multiple replicate runs in Python
Per a recommendation in my previous blog post, I decided to follow up and write a short how-to on how to use pandas to process data from multiple replicate runs in Python. If you do research like mine, you’ll often…
Posted in python, statistics, tutorial Tagged with: data management, pandas, plotting data, python, research, statistics
