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All Algorithms implemented in Python
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* 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 * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Update fetch_amazon_product_data.py Added type hints and modified files to pass precommit test * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Update fetch_amazon_product_data.py Added type hints and made changes to pass the precommit * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * 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 * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Update fetch_amazon_product_data.py Made some bug fixes * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Update and rename fetch_amazon_product_data.py to get_amazon_product_data.py * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Update get_amazon_product_data.py Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Christian Clauss <cclauss@me.com> |
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| .github | ||
| arithmetic_analysis | ||
| audio_filters | ||
| backtracking | ||
| bit_manipulation | ||
| blockchain | ||
| boolean_algebra | ||
| cellular_automata | ||
| ciphers | ||
| compression | ||
| computer_vision | ||
| conversions | ||
| data_structures | ||
| digital_image_processing | ||
| divide_and_conquer | ||
| dynamic_programming | ||
| electronics | ||
| file_transfer | ||
| financial | ||
| fractals | ||
| fuzzy_logic | ||
| genetic_algorithm | ||
| geodesy | ||
| graphics | ||
| graphs | ||
| greedy_methods | ||
| hashes | ||
| knapsack | ||
| linear_algebra | ||
| machine_learning | ||
| maths | ||
| matrix | ||
| networking_flow | ||
| neural_network | ||
| other | ||
| physics | ||
| project_euler | ||
| quantum | ||
| scheduling | ||
| scripts | ||
| searches | ||
| sorts | ||
| strings | ||
| web_programming | ||
| .coveragerc | ||
| .flake8 | ||
| .gitattributes | ||
| .gitignore | ||
| .gitpod.yml | ||
| .pre-commit-config.yaml | ||
| CONTRIBUTING.md | ||
| DIRECTORY.md | ||
| LICENSE.md | ||
| pytest.ini | ||
| README.md | ||
| requirements.txt | ||
Implementations are for learning purposes only. They may be less efficient than the implementations in the Python standard library. Use them at your discretion.
Getting Started
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List of Algorithms
See our directory for easier navigation and a better overview of the project.