From e087e0ef1c3449b37a35a31e0527b3bcbf7e4849 Mon Sep 17 00:00:00 2001 From: S'busiso Mkhondwane Date: Sat, 23 Jul 2016 16:00:59 +0200 Subject: [PATCH] Update intro.Rmd (#176) Typo in "your understanding in solid" changed it to "your understating is solid" --- intro.Rmd | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/intro.Rmd b/intro.Rmd index d9d50a1..5b492b4 100644 --- a/intro.Rmd +++ b/intro.Rmd @@ -73,7 +73,7 @@ Another possibility is that your big data problem is actually a large number of In this book, you won't learn anything about Python, Julia, or any other programming language useful for data science. This isn't because we think these tools are bad. They're not! And in practice, most data science teams use a mix of languages, often at least R and Python. -However, we strongly believe that it's best to master one tool at a time. You will get better faster if you dive deep, rather than spreading yourself thinly over many topics. This doesn't mean you should only know one thing, just that you'll generally learn faster if you stick to one thing at a time. You should strive to learn new things throughout your career, but make sure your understanding in solid before you move on to the next interesting thing. +However, we strongly believe that it's best to master one tool at a time. You will get better faster if you dive deep, rather than spreading yourself thinly over many topics. This doesn't mean you should only know one thing, just that you'll generally learn faster if you stick to one thing at a time. You should strive to learn new things throughout your career, but make sure your understanding is solid before you move on to the next interesting thing. ### Non-rectangular data