* converting generator object to a list object
* Refactor: converting generator object to a list object
* fixup! Format Python code with psf/black push
* Adding new file to the machine_learning directory
* Adding initial documentation
* importing modules
* Adding Normal_gen function
* Adding Y_gen function
* Adding mean_calc function
* Adding prob_calc function
* Adding var_calc function
* Adding predict function
* Adding accuracy function
* Adding main function
* Renaming LDA file
* Adding requested changes
* Renaming some of functions
* Refactoring str.format() statements to f-string
* Removing unnecessary list objects inside two functions
* changing code style in some lines
* Fixing y_generator function
* Refactoring 'predict_y_values' function by using list comprehensions
* Changing code style in import statements
* Refactoring CLI code block
* fixup! Format Python code with psf/black push
* No lines longer than 88 characters
* Update singly_linked_list.py
printing current.data rather than node address in __repr__ for a more readable print statement
* eval(repr(c)) == c
The output of `__repr__()` _should look like a valid Python expression that could be used to recreate an object with the same value_.
https://docs.python.org/3.4/reference/datamodel.html#object.__repr__
* += --> +
* Update gaussian_filter.py
Changed embedded for loops with product. This way range(dst_height) is called only once, instead of being called $dst_height.
* Update gaussian_filter.py
fixed missing width
* Fix out of range error in bellman_ford.py
* Update bellman_ford.py
* fixup! Format Python code with psf/black push
* Enhance the print function
* fixup! Format Python code with psf/black push
* Adds, append, len, print operations for circular linked list
* Adds, prepend support
* Adds, delete from front of the list
* Adds, delete_rear support
* Adds, method documentations
* Adds, type checking and doctests
* Updates doctest for delete ops
* Addressing requested changes
* Removes unused import
* Fixes failing doctests
* Minor modifications...
* Remove code with side effects from main
When running tests withy pytest, some modules execute code in main scope
and open plot or browser windows.
Moves such code under `if __name__ == "__main__"`.
* fixup! Format Python code with psf/black push
I revised my implementation and found out that I have miss a inner loop for t. x and y should be recalculated everytime when t is divisble by 2. I have also included a more readble source for this algorithm.
* Add sol3 for project_euler proble_03
* Update sol3.py
add type hint
remove unused variable
* Format code with psf/black
* add sol3 to project_euler/problem_08, modify the stepsize of the loop,will be faster than sol1
* Python Program that fetches top trending news
* Python Program that fetches top trending news
* Revisions in Fetch BBC News
* psf/black Changes
* Python Program to send slack message to a channel
* Slack Message Revision Changes
* Python Program to check Palindrome String
* Doctest Added
* Python Program to check whether a String is Panagram or not
* Python Program to check whether a String is Panagram or not
* Check Panagram Script Added
* Panagram Script Added
* Anagram Script Changes
* Anagram Alphabet Check Added
* Python Program to fetch github info
* Python Program that fetches top trending news
* Python Program that fetches top trending news
* Revisions in Fetch BBC News
* psf/black Changes
* Python Program to send slack message to a channel
* Slack Message Revision Changes
* Improved Singly Linked List
Added String Representations of Nodes and Linked Lists
Added support for indexing and changing of Node data using indices.
* Added a few comments to Linked Lists
* Reformatted to conform to PEP8
* Added from_sequence.py
Convert a Python List to Linked List comprising of Nodes and return head.
* Added print_reverse.py
Recursive program to print the elements of a Linked List in reverse.
* Change 'is not None' for more Pythonicness
* added RSA_factorization.py
This algorithm can effectively factor RSA large prime N given public key e and private key d.
* Rename RSA_factorization.py to rsa_factorization.py
* Add definitions for d, e, and N
* travis test
* travis pull ID test
* get pr branch test
* retry pr build
* test pushing back - probable git error for origin 'not found'
* github auth?
* add .sh
* chmod
* add index update for permission fix
* run sh for script
* add all
* add pull directory
* fetch pr branch
* swap placement of adding commits
* rotate
* quit trying to update Travis
* formatting leftovers
* Travis CI: Write & print DIRECTORY.md on one line
* Simplified DES
* Add files via upload
Diffie Hellman algorithm to generate a secret key.
* Update sdes.py
* Format code with psf/black and add doctests
