* Create fetch_amazon_product_data.py
This file provides a function which will take
a product name as input from the user,and fetch the necessary
information about that kind of products from Amazon like the product
title,link to that product,price of the product,the ratings of
the product and the discount available on the product
in the form of a csv file,this will help the users by improving searchability
and navigability and find the right product easily and in a short period of time,
it will also be beneficial for performing better analysis on products
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* Update fetch_amazon_product_data.py
Added type hints and modified files to pass precommit test
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* Update fetch_amazon_product_data.py
Added type hints and made changes to pass the precommit
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* Update fetch_amazon_product_data.py
Modified function to return the data in the form of Pandas Dataframe,modified type hints and added a functionality to let the user determine if they need the data in a csv file
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* Update fetch_amazon_product_data.py
Made some bug fixes
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* Update and rename fetch_amazon_product_data.py to get_amazon_product_data.py
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* Implemented Swish Function
* Added more description and return hint in def
* Changed the name and added more descrition including test for sigmoid function
* Added * in front of links
* Adopt Python >= 3.8 assignment expressions using auto-walrus
* updating DIRECTORY.md
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* feat: Implement binary tree path sum (#7135)
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* Update data_structures/binary_tree/binary_tree_path_sum.py
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* refactor: Rename `dfs` to `depth_first_search`
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* Refactoring the syntax using list comprehension
* Update detecting_english_programmatically.py
* Update detecting_english_programmatically.py
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* Remove unnecessary else statement
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* Spheres union
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* Update volume.py
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* Update volume.py
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* f-strings
* Update maths/volume.py
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* more tests
* fix non negative
* fix 0 radius
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* fix tests
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* fix tests
* fix print
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* fix comment
* fix comment
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* Update volume.py
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* Create malus_law.py
Finding the intensity of light transmitted through a polariser using Malus Law and by taking initial intensity and angle between polariser and axis as input
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* Update physics/malus_law.py
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* Update physics/malus_law.py
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* Update physics/malus_law.py
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* Update malus_law.py
Made some changes in the error messages and the docstring testcases
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* Calculate GST Amount
The program helps to get the net amount after GST is added to it.
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* Update financial/calculating GST.py
Thanks!
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* Update and rename calculating GST.py to price_plus_tax.py
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* Update price_plus_tax.py
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* Create minimums_squares_to_represent_a_number.py
added a dynamic programming approach of finding the minimum number of square to represent a number.
eg :
25 = 5*5
37 = 6*6 + 1*1
21 = 4*4 + 2*2 + 1*1
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* Update and rename minimums_squares_to_represent_a_number.py to minimum_squares_to_represent_a_number.py
updated the code
* Update minimum_squares_to_represent_a_number.py
I have added the appropriate checks for 0 and 12.34.
It would be great if you could suggest a name for the dp array
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updated
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updated
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* added support for inverse of 3x3 matrix
* Modified Docstring and improved code
* fixed an error
* Modified docstring
* Apply all suggestions from code review
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* Added function that checks if a string is an isogram.
* Added wiki reference and fixed comments.
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* Made function name more self-documenting. Raise ValueError if string contains 1 or more digits. Renamed file. Lowercase string inside function.
* Removed check_isogram.py (file renamed).
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* Fixed test failure.
* Raise ValueError when string has non-alpha characters. Removed import.
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* Included area of n sided regular polygon
Added a function to calculate the area of n sided regular polygons
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* code standard fixes as per PR comments
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* added script for solving system of linear equations in two variables
* implemented all the suggested changes
* changed RuntimeError to ValueError
* Update matrix/system_of_linear_equation_in_2_variables.py
* Update matrix/system_of_linear_equation_in_2_variables.py
* Update and rename system_of_linear_equation_in_2_variables.py to cramers_rule_2x2.py
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* Updated documentation of cnn_classification.py for much better understanding
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* Update computer_vision/cnn_classification.py
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* Added Implementation for XNOR gate
* Added Implementation for OR gate
* Added implementation of NAND gate
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* Added Implementation of NAND gate
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* Updated nand_gate.py
* updated xnor_gate.py after some changes
* Delete due to duplicate file
* Updated xnor_gate.py
* Added Implementation of NOT gate in python
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* fixed a typo error
* Updated to a new logic
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* Updated nand_gate.py file
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* Create decimal_conversions.py
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* Create arc_length.py
* Delete decimal_conversions.py
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* Removed redundant statement, fixed line overflow
* Update arc_length.py
Changed rad to radius as not to get confused with radians
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* Update arc_length.py
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* Create kinetic_energy.py
Finding the kinetic energy of an object,by taking its mass and velocity as input
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* Update kinetic_energy.py
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* Add function for xor gate
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* Add test case for xor functions
* Update boolean_algebra/xor_gate.py
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* Update boolean_algebra/xor_gate.py
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* Split long comment line into two lines
* 88 characters per line
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* Add Spain National ID validator (#7574)
* is_spain_national_id()
* Update is_spain_national_id.py
* Some systems add a dash
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* Update count_number_of_one_bits.py
removed the modulo operator as it is very time consuming in comparison to the and operator
* Update count_number_of_one_bits.py
Updated with the timeit library to compare. Moreover I have updated my code which helps us in reaching the output comparatively faster.
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* Update bit_manipulation/count_number_of_one_bits.py
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* Update count_number_of_one_bits.py
Updated the code
* Update count_number_of_one_bits.py
Updated code
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* Run the tests before running the benchmarks
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* consistently
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* Update knapsack.py
* Update dynamic_programming/knapsack.py
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* Update knapsack.py
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* Update comments in check_pangram.py script
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* Add web program to fetch top 10 realtime billioners using forbes API.
* Provide return type to function.
* Use rich for tables and minor refactors.
* Fix tiny typo.
* Add the top {LIMIT} in rich table title.
* Update web_programming/get_top_billioners.py
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* Change the API path.
* Update get_top_billioners.py
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* Create superdense_coding.py
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* Reduced Time Complexity to O(sqrt(n))
* Added testmod
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* Fixes: #{6551}
* Fixes: #{6551}
* Update xgboostclassifier.py
* Delete xgboostclassifier.py
* Update xgboostregressor.py
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* Fixes : {#6551}
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* Update and rename xgboostregressor.py to xgboost_regressor.py
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