![]() If you do not yet have R, you can download it for free here. ![]() It was a great introduction to the R language and data science more broadly. I took a course on EDX called The Analytics Edge that propelled me into using R on a daily basis at work. I started using R three years ago after spending most of my early career in Excel and SQL. No previous programming experience should be required. Regardless, both are very powerful and widely used with deep open source communities, but this article will use R. The tidyverse from Hadley Wickham is an incredible suite of packages for data wrangling. I personally prefer R over Python because I think it has better packages for manipulating data. The data science community is filled with articles about which is better, with no clear winner. ![]() Essentially R has data analysis built into its core. That being said, R was built as a language for data and statistical analysis where as Python has packages that enable data analysis. Python might be slightly more common because it is a more general purpose programming language. R is one of the most popular programming languages used for Data Analysis and Data Science along with Python. Use rameritrade to trade with the TD Ameritrade API.Logging in and making a trade through the API.
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