* deps: migrate from httpx to httpx2 (pydantic's maintained fork)
Mechanical rename of httpx -> httpx2 (API-compatible fork of httpx 0.28.1):
pyproject.toml deps, PEP 723 inline-script headers, and all import/call sites.
Excludes uv.lock (the keeper's allow-list rejects .lock files); the lock
refresh needs a separate maintainer-merged PR.
Refs #15081
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* deps: drop tweepy + migrate remaining requests refs to httpx2
- maths/allocation_number.py: docstring example uses httpx2, not requests
- web_programming/get_imdbtop.py.DISABLED: import httpx2 instead of requests
- remove web_programming/get_user_tweets.py.DISABLED (a Twitter API how-to,
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the last high-level dep pulling in requests
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Refs #15081
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* fix(reddit): remove unreachable 429 check after raise_for_status()
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* Refactor age parameter to use Literal type
Updated the age parameter to use Literal for specific values.
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* docs: expand bubble sort docstrings with algorithm explanation
Add a concise description of how bubble sort works (repeated
adjacent comparisons/swaps until a pass makes no swaps) and note
time/space complexity for both the iterative and recursive
implementations. No behavior changes; all existing doctests pass.
* Fix Ruff 0.16 lint failures
* S310
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* fix covid_stats_via_xpath.py
Improve error handling.
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* fix covid_stats_via_xpath.py typo
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* Update and fix covid_stats_via_xpath.py
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* We use httpx, not requests
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* Add unit tests for factorial.py
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* uvx --python=3.12 unittest2pytest --write test_factorial.py
* Update error message in current_stock_price.py
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2025-07-05 12:58:45 +02:00
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* [pre-commit.ci] pre-commit autoupdate
updates:
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* Update maths/dual_number_automatic_differentiation.py
* Update maths/dual_number_automatic_differentiation.py
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* Update dual_number_automatic_differentiation.py
* Update dual_number_automatic_differentiation.py
* No <fin-streamer> tag with the specified data-test attribute found.
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* Empty commit
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* adding test to web_programming/current_stock_price
* adding test to web_programming/current_stock_price
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* fix: modify the depracated code and add new tests
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* Remove UP017 #noqa comments from code
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* Enable ruff S113 rule
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* Enable ruff PGH003 rule
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* Fix
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* Create get_ip_geolocation.py
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* Update instagram_pic.py
* Update instagram_pic.py
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* Update instagram_pic.py
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* Update instagram_pic.py
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* Update instagram_pic.py
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* Fast fail instead of nested ifs and PEP8: Keep try/except blocks small
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* Update current_weather.py
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* import requests
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* Move and reimplement convert_number_to_words.py
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opaque and too heavily nested
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because the original implementation only supported the Indian
numbering system
- Add extensive doctests and error handling
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* updating DIRECTORY.md
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* updating DIRECTORY.md
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* updated the url and tags for yahoo finance
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* updated to return the error text
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* Fix ruff errors
Renamed neural_network/input_data.py to neural_network/input_data.py_tf
because it should be left out of the directory for the following
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1. Its sole purpose is to be used by neural_network/gan.py_tf, which is
itself left out of the directory because of issues with TensorFlow.
2. It was taken directly from TensorFlow's codebase and is actually
already deprecated. If/when neural_network/gan.py_tf is eventually
re-added back to the directory, its implementation should be changed
to not use neural_network/input_data.py anyway.
* updating DIRECTORY.md
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* pre-commit: Upgrade psf/black for stable style 2023
Updating https://github.com/psf/black ... updating 22.12.0 -> 23.1.0 for their `2023 stable style`.
* https://github.com/psf/black/blob/main/CHANGES.md#2310
> This is the first [psf/black] release of 2023, and following our stability policy, it comes with a number of improvements to our stable style…
Also, add https://github.com/tox-dev/pyproject-fmt and https://github.com/abravalheri/validate-pyproject to pre-commit.
I only modified `.pre-commit-config.yaml` and all other files were modified by pre-commit.ci and psf/black.
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* Create convert_number_to_words.py
A Python Program to convert numerical digits to English words. An Application of this can be in a Payment Application for confirmation
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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
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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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