* add surface area class
* add new line to end of file
* move surface area class into area class
* add missing import
* added pi import
* fix typo
* added blank line
* fixed more import issues
* comment fix
* comment fixes
* created perfect_cube.py
To find whether a number is a perfect cube or not.
* Update perfect_cube.py
* Update perfect_cube.py
* Update perfect_cube.py
* Added Lstm example for stock predection
* Changes after review
* changes after build failed
* Add Kiera’s to requirements.txt
* requirements.txt: Add keras and tensorflow
* psf/black
* haris corner detection
* fixup! Format Python code with psf/black push
* changes after review
* changes after review
* fixup! Format Python code with psf/black push
Co-authored-by: Christian Clauss <cclauss@me.com>
Co-authored-by: github-actions <${GITHUB_ACTOR}@users.noreply.github.com>
* create sum_of_digits.py
create sum_of_digits.py to find the sum of digits of a number
digit_sum(12345) ---> 15
digit_sum(12345) ---> 10
* Update sum_of_digits.py
* Update maths/sum_of_digits.py
Co-authored-by: Christian Clauss <cclauss@me.com>
* Update maths/sum_of_digits.py
Co-authored-by: Christian Clauss <cclauss@me.com>
* Update sum_of_digits.py
Co-authored-by: Christian Clauss <cclauss@me.com>
* Create number_of_digits.py
A python program to find the number of digits in a number.
* Update number_of_digits.py
* Update number_of_digits.py
* Add #1976 to get Travis CI to pass
#1976
* Add type hints as discussed in CONTRIBUTING.md
Co-authored-by: Christian Clauss <cclauss@me.com>
* Tighten up psf/black and flake8
* Fix some tests
* Fix some E741
* Fix some E741
* updating DIRECTORY.md
Co-authored-by: github-actions <${GITHUB_ACTOR}@users.noreply.github.com>
* Precision must be a nonnegative integer
* fixup! Format Python code with psf/black push
Co-authored-by: github-actions <${GITHUB_ACTOR}@users.noreply.github.com>
* consists of area of various geometrical shapes
In this program it consists of various area calculation of different geometrical shapes such as (square,rectangle) and many other shapes.
* print(f'Rectangle: {area_rectangle(10, 20)=}')
* Update area.py
* Areas of various geometric shapes:
Co-authored-by: Christian Clauss <cclauss@me.com>
* Added file aliquot_sum.py containing a function to find theo
* Added parameter type info to aliquot_sum.py
* Update maths/aliquot_sum.py
Co-authored-by: Christian Clauss <cclauss@me.com>
* Update maths/aliquot_sum.py
Co-authored-by: Christian Clauss <cclauss@me.com>
* Updated code to raise ValueErrors if input is bad
* Fixed logical operators
* Removed unnecessary import
* Updated aliquot_sum.py
* fixed formatting
* fixed documentation
Co-authored-by: Christian Clauss <cclauss@me.com>
* improved prime number generator to check only up to sqrt(n) instead of n
* added old version as slow_primes() and named new, faster version primes()
* fixed docstring in slow_primes
* Add a timeit benchmark
* Update prime_numbers.py
Co-authored-by: Christian Clauss <cclauss@me.com>
* Fix astar
Single character variable names are old school.
* fixup! Format Python code with psf/black push
* Tuple
* updating DIRECTORY.md
Co-authored-by: github-actions <${GITHUB_ACTOR}@users.noreply.github.com>
* Deal with maps
Try with the search term "pizza" to see why this was done in #1932
* fixup! Format Python code with psf/black push
* Update armstrong_numbers.py
* updating DIRECTORY.md
* Update crawl_google_results.py
Co-authored-by: github-actions <${GITHUB_ACTOR}@users.noreply.github.com>
* Rename math/add.py to maths/add.py
* fixup! Format Python code with psf/black push
* Fix sum to add
* updating DIRECTORY.md
Co-authored-by: github-actions <${GITHUB_ACTOR}@users.noreply.github.com>
Co-authored-by: John Law <johnlaw.po@gmail.com>
* Add Monte Carlo estimation of PI
* Add type annotations for Monte Carlo estimation of PI
* Compare the PI estimate to PI from the math lib
* accuracy -> error
* Update pi_monte_carlo_estimation.py
Co-authored-by: John Law <johnlaw.po@gmail.com>
* spelling corrections
* review
* improved documentation, removed redundant variables, added testing
* added type hint
* camel case to snake case
* spelling fix
* review
* python --> Python # it is a brand name, not a snake
* explicit cast to int
* spaces in int list
* "!= None" to "is not None"
* Update comb_sort.py
* various spelling corrections in documentation & several variables naming conventions fix
* + char in file name
* import dependency - bug fix
Co-authored-by: John Law <johnlaw.po@gmail.com>
* estimate area under a curve defined by non-negative real-valued continuous function within a continuous interval using monte-carlo
* run black; update comments
* Use f”strings” and drop unnecessary returns
Co-authored-by: Christian Clauss <cclauss@me.com>
* add example to estimate area under line using montecarlo
* separate estimate func and print statements
* use mean from stats package
* avoid creating extra variable
* min_value: float=0.0, max_value: float=1.0
* Update montecarlo.py
* Update montecarlo.py
* Rename montecarlo.py to monte_carlo.py
* Update monte_carlo.py
Co-authored-by: Christian Clauss <cclauss@me.com>
* Add Chudnovskys algorithm for calculating many digits of pi
* Update return value type hint
* Initialize partial sum to be of type Decimal
* Update chudnovsky_algorithm.py
Co-authored-by: Christian Clauss <cclauss@me.com>
* Create Bisection.py
Find root of
* Update Bisection.py
* Update Bisection.py
i changed the given function with one that i could make the doctests.
* Rename Bisection.py to bisection.py
* Update bisection.py
* Update bisection.py
* Update bisection.py
* Update bisection.py
* Update bisection.py
Made the changes that were requested
* Update bisection.py
* Update bisection.py
* Add wiki url
Co-authored-by: Christian Clauss <cclauss@me.com>
* Added montecarlo.py
This algorithm uses a Monte Carlo simulation to estimate the value of pi.
* Rename montecarlo.py to maths/montecarlo.py
* Add files via upload
* Delete montecarlo.py
* Rename montecarlo.py to maths/montecarlo.py
* Update montecarlo.py
- Add more doctests and type checking to make sure only natural
numbers are used
- Simplified the algorithm slightly
This new verison is also between 10-15% faster for really
long sequences
