# Practice Coding

## ‌Notes

* Big O
* trees, graphs, lists, sorting
* data structure
* algorithm

## Links <a href="#links" id="links"></a>

### practice online coding <a href="#practice-online-coding" id="practice-online-coding"></a>

* ​[leetcode](https://app.gitbook.com/@stephan-osterburg/s/coding/practice-coding/~/settings/www.leetcode.com)​
* ​[codesignal](https://app.gitbook.com/@stephan-osterburg/s/coding/practice-coding/~/settings/www.codesignal.com)​
* ​[codewars](https://app.gitbook.com/@stephan-osterburg/s/coding/practice-coding/~/settings/www.codewars.com)​
* ​[hackerrank](https://www.hackerrank.com/)​
* ​[Daily Coding Problem](https://dailycodingproblem.com/)​

### reference <a href="#reference" id="reference"></a>

* ​[realpython](https://realpython.com/)​
* ​[Dan Bader](https://app.gitbook.com/@stephan-osterburg/s/coding/practice-coding/~/settings/www.dbader.org)​
* ​[geeks for geeks](https://app.gitbook.com/@stephan-osterburg/s/coding/practice-coding/~/settings/www.geeksforgeeks.org)​
* ​[programiz](https://www.programiz.com/)​
* ​[rosettacode](https://rosettacode.org/)​
* ​[tutorialpoint](https://www.tutorialspoint.com/)​
* ​[adventures in machine learning](https://adventuresinmachinelearning.com/)​
* ​[programcreek](https://www.programcreek.com/python/)​

### docs (offline) <a href="#docs-offline" id="docs-offline"></a>

* ​[devdocs](https://devdocs.io/)​
* ​[dash](https://kapeli.com/dash)​
* ​[kite](https://app.gitbook.com/@stephan-osterburg/s/coding/practice-coding/~/settings/www.kite.com)​

## Books‌ <a href="#books" id="books"></a>

* ​[Cracking the Coding Interview](http://www.crackingthecodinginterview.com/)​
* ​[Bioinformatics Algorithms](http://bioinformaticsalgorithms.com/)​
* ​[Deep Learning with Python](https://github.com/fchollet/deep-learning-with-python-notebooks) by [Francois Chollet](https://blog.keras.io/author/francois-chollet.html)​
* Neural Network Math
* Python Machine Learning by [Sebastian Raschke](https://sebastianraschka.com/)​
* Python for Data Analysis
* Python Data Science Handbook
* Introduction to Machine Learning with Python by [Andreas Mueller](https://amueller.github.io/)​
* ​[The Nature of Code](https://natureofcode.com/) by Daniel Shiffman
* ​[From Math to Generic Programming](https://play.google.com/books/reader?id=UqxYBQAAQBAJ\&pg=GBS.PP1)​
* ​[Python Tricks](https://dbader.org/) by Dan Bader

## Tutorials <a href="#tutorials" id="tutorials"></a>

{% embed url="https://realpython.com/tutorials/machine-learning/" %}





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