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Python

October 22, 2021

Python Certification Experience

Congratulations to Wade, our very first student to complete the Nexacu Python for Data Analysis Certification!  Wade had no prior experience with Python but has now produced a very impressive final capstone project.
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July 09, 2021

Multiple Python Positional Parameters - *args

You may have seen *args in the help documentation for Python functions and methods. This post explains what this parameter is, how to use functions that include an *args parameter and how to include *args in your own custom functions.
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June 15, 2021

Python Magic Commands in Jupyter

Python users who work in Jupyter computational notebooks have access to an extra collection of commands – known as magic commands. Magic commands are an enhancement of the interactive IPython kernel (used by Jupyter) and make performing common tasks easier than using Python code alone.
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May 18, 2021

Data Frames and DataFrames

The data frame (or DataFrame) is an essential tool for anyone using R or Python to analyse data. They are rectangular or tabular data structures, that hold rows and columns of data, similar to tables in a database or an Excel spreadsheet.
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May 13, 2021

The pandas DataFrame groupby() method

The pandas groupby() is a versatile DataFrame method that enables to users to quickly and efficiently separate datasets into groups by a chosen variable. It can be used to report summary statistics for each group, loop over groups and to separate data into subsets.
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April 23, 2021

Code-Based Tools for Analysing Data

We have recently been training a growing number of professionals in R and Python as they migrate from other code-based analytical packages such as MATLAB, Stata, SAS and SPSS. This post outlines some of the reasons for using code-based tools and why organisations are increasingly using Python and R for their data analysis needs.
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What is R script? Nexacu
February 05, 2021

Increase Productivity with Python & R

Both R and Python have a huge range of functionality available for working with data. Investing a few weeks to learn to use a programming language will enable you achieve big productivity gains. 
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