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Curriculum for data structures and algorithms
mandarmulherkar Dec 9, 2015
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Update data-structures-and-algorithms.md
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# Data Structures and Algorithms

## Level

Planning for all levels - folks can drop off after the basics ro continue.

## Prerequisites

Any programming language (Java preferred).

## Approach

Basics of algorithms and data structures using technical interview like questions usually asked at companies like Google or Amazon.

## Course Materials:

1. TopCoder - [TopCoder Algorithm tutorials](https://www.topcoder.com/community/data-science/data-science-tutorials/)
2. Data Structures and Algorithms:
- [MIT Open courseware](http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-046j-introduction-to-algorithms-sma-5503-fall-2005/)
- [Stanford Coursera](https://www.coursera.org/course/algo)
- [Learn Java Codeacademy](https://www.codecademy.com/courses/learn-java)
3. Topics:
- [Nick Parlante's page](http://cslibrary.stanford.edu/)
- [Linked Lists Basics](http://cslibrary.stanford.edu/103/)
- [Linked Lists Problems](http://cslibrary.stanford.edu/105/)
- [Binary Trees](http://cslibrary.stanford.edu/110/)
- [Searching]
- [Sorting]
- [Stacks and Queues]
- [Recursion]
- [Heaps]

## IDEs
1. [Eclipse](http://www.eclipse.org/downloads/)
- Offers a wide variety of plugins and therefore extensible.
2. [IntelliJ Idea](https://www.jetbrains.com/idea/download/)
- Paid IDE, offers a community edition.