* Doctest and comment for maximum sub-array problem
More examples and description for max_sub_array.py
* Update max_sub_array.py
* Update max_sub_array.py
* Fix doctest
* function for the knapsack problem which returns one of the optimal subsets
* function for the knapsack problem which returns one of the optimal subsets
* function for the knapsack problem which returns one of the optimal subsets
* function for the knapsack problem which returns one of the optimal subsets
* function for the knapsack problem which returns one of the optimal subsets
* some pep8 cleanup too
* ENH: refactored longest common subsequence, also fixed a bug with the sequence returned
* renamed function
* function for the knapsack problem which returns one of the optimal subsets
* function for the knapsack problem which returns one of the optimal subsets
* function for the knapsack problem which returns one of the optimal subsets
* function for the knapsack problem which returns one of the optimal subsets
* function for the knapsack problem which returns one of the optimal subsets
* some pep8 cleanup too
* Pytest the entire repo
* Do each directory for now...
* YAML files hate tabs
* Add more requirements
* pip install opencv-python
* Comment out FTP
* Add pandas and sklearn to requirements
* Comment out FTP, graphs, machine_learning, maths, neural_network, project_euler
* Update .travis.yml
* Comment out Data structures
* if __name__ == "__main__":
* pytest --ignore=
* pytest .
* Update .travis.yml
* pytest . --doctest-modules --ignore=${IGNORE}
* Ignore --ignore because it just hangs
* subset_generation
generate all possible subset of size n of a given array of size r
* Rename subset_generation to subset_generation.py
* Update subset_generation.py
I made all changes I could . What I mean is I removed all the empty space .......
There some comment extra if you feel removing those comments please do so yourself pls provide spacing as it should be
* Create morse_Code_implementation.py
* Any more changes pls let me know
Added a function which implements knapsack using memory functions. Also I updated the test cases to include test cases for the memory function implementation.
