34 lines
1.8 KiB
Markdown
34 lines
1.8 KiB
Markdown
# Julia for Data Analysis
|
|
|
|
This folder contains additional exercises to the book
|
|
["Julia for Data Analysis"](https://www.manning.com/books/julia-for-data-analysis?utm_source=bkamins&utm_medium=affiliate&utm_campaign=book_kaminski2_julia_3_17_22)
|
|
that is written by Bogumił Kamiński and is planned to be published in 2022
|
|
by [Manning Publications Co.](https://www.manning.com/).
|
|
|
|
The exercises were prepared by [Bogumił Kamiński](https://github.com/bkamins) and [Daniel Kaszyński](https://www.linkedin.com/in/daniel-kaszy%C5%84ski-3a7807113/).
|
|
|
|
For each book chapter you can find 10 additional exercises with solutions.
|
|
The exercises are meant for self study and are not discussed in the book.
|
|
|
|
The exercises contained in this folder have varying level of difficulty. The
|
|
problems for the first few chapters are meant to be relatively easy, however you
|
|
might find exercises for the last chapters more challenging (if you are learning
|
|
Julia I still encourage you to try these exercises and walk through the
|
|
solutions trying to understand them). In particular, in some exercises I, on
|
|
purpose, require using more functionalities of Julia ecosystem that is covered
|
|
in the book. This is meant to teach you how to use help and documentation,
|
|
as this is a very important skill to master.
|
|
|
|
The files containing exercises have a naming convention `exercisesDD.md`, where
|
|
`DD` is book chapter number for which the exercises were prepared.
|
|
|
|
All the exercises should be possible to solve using project environment setting
|
|
that is used in the whole book (please check the global README.md file of this
|
|
repository for details).
|
|
|
|
---
|
|
|
|
*Preparation of these exercises have been supported by the Polish National Agency for Academic Exchange under the Strategic Partnerships programme, grant number BPI/PST/2021/1/00069/U/00001.*
|
|
|
|

|