|
The Beginner's Guide to Todoist
by
|
|
|
Introducing Markdown and Pandoc: Using Markup Language and Document Converter
by
|
|
|
Future Humans: What will humans look like in a million years?
by
|
|
|
Advanced Object-Oriented Programming in R: Statistical Programming for Data Science, Analysis and Finance
by
|
|
|
Metaprogramming in R: Advanced Statistical Programming for Data Science, Analysis and Finance
by
|
|
|
The Beginner's Guide to GitHub
by
really liked it 4.00 avg rating — 7 ratings
—
2 editions
|
|
|
Beginning Data Science in R
by
|
|
|
Functional Programming in R: Advanced Statistical Programming for Data Science, Analysis and Finance
by
|
|
|
The Beginner's Guide to Markdown and Pandoc
by
3.67 avg rating — 6 ratings
|
|
|
Introduction to Data Science and Statistical Programming in R
by
|
|
|
The Joys of Hashing: Hash Table Programming with C
by
2.50 avg rating — 6 ratings
—
published
2019
—
7 editions
|
|
|
Beginning Data Science in R: Data Analysis, Visualization, and Modelling for the Data Scientist by Thomas Mailund, Apress
by
4.33 avg rating — 3 ratings
|
|
|
R Data Science Quick Reference: A Pocket Guide to APIs, Libraries, and Packages
by
really liked it 4.00 avg rating — 3 ratings
—
2 editions
|
|
|
String Algorithms in C: Efficient Text Representation and Search
by
|
|
|
Pointers in C Programming: A Modern Approach to Memory Management, Recursive Data Structures, Strings, and Arrays
by
|
|
|
Functional Data Structures in R: Advanced Statistical Programming in R
by
really liked it 4.00 avg rating — 2 ratings
—
5 editions
|
|
|
Introduction to Computational Thinking: Problem Solving, Algorithms, Data Structures, and More
by
really liked it 4.00 avg rating — 2 ratings
|
|
|
Introduction to Computational Thinking: Problem Solving, Algorithms, Data Structures, and More
by
3.50 avg rating — 2 ratings
|
|
|
Beginning Data Science in R: Data Analysis, Visualization, and Modelling for the Data Scientist
by
3.50 avg rating — 2 ratings
|
|
|
Beginning Data Science in R 4: Data Analysis, Visualization, and Modelling for the Data Scientist
by
3.50 avg rating — 2 ratings
|
|
|
Beginning Data Science in R 4: Data Analysis, Visualization, and Modelling for the Data Scientist
by
|
|
|
Introduction to Computational Thinking: Problem Solving, Algorithms, Data Structures, and More
by
really liked it 4.00 avg rating — 1 rating
|
|
|
Domain-Specific Languages in R: Advanced Statistical Programming
by
really liked it 4.00 avg rating — 1 rating
|
|
|
R Data Science Quick Reference: A Pocket Guide to APIs, Libraries, and Packages
by
really liked it 4.00 avg rating — 1 rating
|
|
|
R 4 Data Science Quick Reference: A Pocket Guide to APIs, Libraries, and Packages
by
really liked it 4.00 avg rating — 1 rating
—
3 editions
|
|
|
Functional Programming in R 4: Advanced Statistical Programming for Data Science, Analysis, and Finance
by
really liked it 4.00 avg rating — 1 rating
|
|
|
String Algorithms in C: Efficient Text Representation and Search
by
really liked it 4.00 avg rating — 1 rating
|
|
|
R Data Science Quick Reference: A Pocket Guide to APIs, Libraries, and Packages
by
really liked it 4.00 avg rating — 1 rating
|
|
|
Domain-Specific Languages in R: Advanced Statistical Programming
by
really liked it 4.00 avg rating — 1 rating
—
4 editions
|
|
|
Advanced Object-Oriented Programming in R: Statistical Programming for Data Science, Analysis and Finance
by
really liked it 4.00 avg rating — 1 rating
|
|
* Note: these are all the books on Goodreads for this author. To add more books,
click here.