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Update relative links to slides in subfolder
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Lessons/AlgorithmAnalysis.md

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- Benchmark the built-in `list` and `dict` types and compare to your `LinkedList` and `HashTable` classes
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[algorithm analysis slides]: slides/AlgorithmAnalysis.pdf
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[algorithm analysis slides]: ../Slides/AlgorithmAnalysis.pdf
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[big O notation video]: https://www.youtube.com/watch?v=v4cd1O4zkGw
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[asymptotic notation video]: https://www.youtube.com/watch?v=iOq5kSKqeR4
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[computational complexity video]: https://www.youtube.com/watch?v=IM9sHGlYV5A

Lessons/ArraysLinkedLists.md

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- Read about the [doubly linked list] structure and implement it in your own `DoublyLinkedList` class. What advantages and disadvantages does this structure have over a [singly linked list][linked list article]?
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[array and linked list slides]:slides/ArraysLinkedLists.pdf
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[array and linked list slides]: ../Slides/ArraysLinkedLists.pdf
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[array and linked list video lecture]: https://www.youtube.com/watch?v=3WWuf4H61Nk
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[linked list video]: https://www.youtube.com/watch?v=njTh_OwMljA
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[array video]: https://www.youtube.com/watch?v=7EdaoE46BTI

Lessons/HashTables.md

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- Write additional test cases to expand the [hash table unit tests] to ensure your collision resolution strategy is robust
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[hash table slides]: slides/HashTables.pdf
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[hash table slides]: ../Slides/HashTables.pdf
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[hash table video lecture]: https://www.youtube.com/watch?v=nLWXJ6IDKmQ
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[hash table video]: https://www.youtube.com/watch?v=shs0KM3wKv8
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[old hash table video]: https://www.youtube.com/watch?v=h2d9b_nEzoA

Lessons/MarkovChains.md

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[Markov chains lecture]: https://www.youtube.com/watch?v=dNaJg-mLobQ
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[Markov chains slides]: slides/MarkovChains.pdf
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[Markov chains slides]: ../Slides/MarkovChains.pdf
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[visual explanation of Markov chains]: http://setosa.io/blog/2014/07/26/markov-chains/
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[Dejeu Markov article]: https://hackernoon.com/from-what-is-a-markov-model-to-here-is-how-markov-models-work-1ac5f4629b71
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[Dataiku Markov article]: https://blog.dataiku.com/2016/10/08/machine-learning-markov-chains-generate-clinton-trump-quotes

Lessons/Probability.md

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- If you're *really* stuck, read the Python Cookbook's [Randomly Picking Items with Given Probabilities], but *don't read this until you've tried to solve it yourself*
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[probability and sampling slides]:slides/Probability.pdf
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[probability and sampling slides]: ../Slides/Probability.pdf
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[Page 4: Stochastic Sampling]: https://www.makeschool.com/academy/tutorial/tweet-generator-data-structures-probability-with-python/stochastic-sampling-506e62a9-e8be-486f-8c72-486baa8c3454
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[random module]: https://docs.python.org/3/library/random.html
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[Randomly Picking Items with Given Probabilities]: https://www.safaribooksonline.com/library/view/python-cookbook-2nd/0596007973/ch04s22.html

Lessons/RandomStrings.md

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### Activity
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- Review prerequisite skills and knowledge
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- Discuss course focus and project goals in [Tweet Generator intro slides](slides/TweetGenerator.pdf)
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- Discuss course focus and project goals in [Tweet Generator intro slides]
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- Show examples of completed projects and similar websites
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### Objectives
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- Generate random integers in a range
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### Challenges
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Visit Make School's [Online Academy](https://www.makeschool.com/academy) to find the [Tweet Generator tutorial](http://make.sc/oa-tweet-generator).
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Visit Make School's [Online Academy] to find the [Tweet Generator tutorial].
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These challenges are the baseline required to complete the project and course.
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Be sure to complete these before next class session and before starting on the stretch challenges below.
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- Google's [Python class](https://developers.google.com/edu/python/) – includes lecture videos and lots of practice exercises
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[Tweet Generator intro slides]: ../Slides/TweetGenerator.pdf
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[Online Academy]: https://www.makeschool.com/academy
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[Tweet Generator tutorial]: http://make.sc/oa-tweet-generator
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[Page 1: Let’s Get Started]: https://www.makeschool.com/academy/tutorial/tweet-generator-data-structures-probability-with-python/let-s-get-started
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[Page 2: Random Dictionary Words]: https://www.makeschool.com/academy/tutorial/tweet-generator-data-structures-probability-with-python/random-dictionary-words-0f05439f-f238-4cb7-9be4-535aefaf0f2f

Lessons/RegularExpressions.md

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[regular expressions lecture]: https://www.youtube.com/watch?v=roUtBDH3Obc
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[regular expressions slides]: slides/RegularExpressions.pdf
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[regular expressions slides]: ../Slides/RegularExpressions.pdf
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[regular expressions cheat sheet]: https://www.cheatography.com/davechild/cheat-sheets/regular-expressions/
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[UBC regex lab]: http://www.ugrad.cs.ubc.ca/~cs121/2015W1/Labs/Lab8/lab8.html
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[RegExr]: https://regexr.com/
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