From 180105f5a73ca6f1462decdf63d761f4a578d803 Mon Sep 17 00:00:00 2001
From: William Okech <38021234+wokech@users.noreply.github.com>
Date: Thu, 11 Apr 2024 22:55:26 +0300
Subject: [PATCH] new intro

---
 .gitignore | 4 ++++
 intro.qmd  | 7 +++----
 2 files changed, 7 insertions(+), 4 deletions(-)

diff --git a/.gitignore b/.gitignore
index cba43cc..d43b4cf 100644
--- a/.gitignore
+++ b/.gitignore
@@ -4,3 +4,7 @@
 .Ruserdata
 
 /.quarto/
+.Rdata
+.httr-oauth
+.DS_Store
+.quarto
diff --git a/intro.qmd b/intro.qmd
index fdcdefa..0a3dfd4 100644
--- a/intro.qmd
+++ b/intro.qmd
@@ -2,7 +2,7 @@
 
 ## Why did I write this book?
 
-This book is primarily intended to provide links to essential websites for learning digital skills and biotechnology. It is hoped that the websites provided will reduce the time spent by readers searching for relevant information in the fields of programming, data science, data visualization, and biotechnology. Additionally, I have provided some bonus readings for STEM graduate students and the general public. 
+This book is primarily intended to provide links to essential websites for learning digital skills and biotechnology. It is hoped that the websites provided will reduce the time spent by readers searching for relevant information in the fields of programming, data science, data visualization, and biotechnology. Additionally, I have provided some bonus readings for STEM graduate students and the general public.
 
 ## About the author
 
@@ -10,7 +10,7 @@ The author of this book is a Certified Carpentries instructor and a trainer with
 
 ## Topics Covered
 
-i. Programming
+i.  Programming
 
 ii. Data Science, Machine Learning, and Artificial Intelligence
 
@@ -18,7 +18,7 @@ iii. Data Visualization
 
 iv. Generative AI and Large Language Models
 
-v. General Teaching Resources
+v.  General Teaching Resources
 
 vi. Biotechnology
 
@@ -31,4 +31,3 @@ Feedback can be provided using a GitHub pull request: [Link](https://github.com/
 ## Summary
 
 Overall, I believe that this book will increase both the knowledge and confidence levels of novice programmers and allow them to perform basic statistical analysis and simplify everyday computational tasks at home or in their workplaces. In the next chapter, I will provide a basic overview of the R and RStudio ecosystem.
-