Python Module that Extracts the Browsers History: https://www.reddit.com/r/Python/comments/98vbur/python_module_that_extracts_the_browsers_history/
reddit
Python Module that Extracts the Browsers History • r/Python
Hello everyone, I've created a Python module that extracts browsers history from local computers. If you can give me a feedback, it would be...
win10toast no longer works in latest Windows update?: https://www.reddit.com/r/Python/comments/98v4aj/win10toast_no_longer_works_in_latest_windows/
reddit
r/Python - win10toast no longer works in latest Windows update?
1 vote and 0 comments so far on Reddit
Python - Create a web app to analyze and visualize IoT device data: https://www.reddit.com/r/Python/comments/98vfq4/python_create_a_web_app_to_analyze_and_visualize/
reddit
r/Python - Python - Create a web app to analyze and visualize IoT device data
0 votes and 0 comments so far on Reddit
How to generate random points in an irregular polygon oriented in 3D?: https://www.reddit.com/r/Python/comments/98vm28/how_to_generate_random_points_in_an_irregular/
reddit
r/Python - How to generate random points in an irregular polygon oriented in 3D?
2 votes and 0 comments so far on Reddit
An Asyncio socket tutorial; How to build an ASGI web server: https://www.reddit.com/r/Python/comments/98vj2r/an_asyncio_socket_tutorial_how_to_build_an_asgi/
reddit
r/Python - An Asyncio socket tutorial; How to build an ASGI web server
3 votes and 0 comments so far on Reddit
nuFHE: Fully Homomorphic Encryption on GPUs using Python: https://www.reddit.com/r/Python/comments/98w5ll/nufhe_fully_homomorphic_encryption_on_gpus_using/
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r/Python - nuFHE: Fully Homomorphic Encryption on GPUs using Python
1 vote and 0 comments so far on Reddit
Weatherly - View Detailed Weather Data about Large Cities in the USA (Built w/ Python
Really f you parentheses after print in 3, f u a lotttt: https://www.reddit.com/r/Python/comments/98we70/really_f_you_parentheses_after_print_in_3_f_u_a/
reddit
r/Python - Really f you parentheses after print in 3, f u a lotttt
0 votes and 2 comments so far on Reddit
How to write an API in 3 lines of code with Django REST framework: https://www.reddit.com/r/Python/comments/98w0hp/how_to_write_an_api_in_3_lines_of_code_with/
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r/Python - How to write an API in 3 lines of code with Django REST framework
1 vote and 0 comments so far on Reddit
CEF Python v66.0 released (Desktop GUI). A web browser control based on Chromium.: https://www.reddit.com/r/Python/comments/98wbx7/cef_python_v660_released_desktop_gui_a_web/
reddit
CEF Python v66.0 released (Desktop GUI). A web browser control...
CEF Python is a GUI framework that lets you embed a web browser control based on Chromium (CEF) in a desktop application. This release updates...
Dependencies of a nodejs program are installed to node_modules/ directory which allows caching between CI jobs. How can you do this with python.: https://www.reddit.com/r/Python/comments/98x6zd/dependencies_of_a_nodejs_program_are_installed_to/
reddit
r/Python - Dependencies of a nodejs program are installed to node_modules/ directory which allows caching between CI jobs. How…
1 vote and 1 comment so far on Reddit
Group/Cluster K-Fold CV with Sklearn: https://stackoverflow.com/questions/51883762/group-cluster-k-fold-cv-with-sklearn
Stack Overflow
Group/Cluster K-Fold CV with Sklearn
I need to do a K-fold CV on some models, but I need to ensure the validation (test) data set is clustered together by a group and t number of years. GroupKFold is close, but it still splits up the
Finding Kneighbors in sklearn using KDtree with multiple target variables with multiple search criteria: https://stackoverflow.com/questions/51907340/finding-kneighbors-in-sklearn-using-kdtree-with-multiple-target-variables-with-m
Stack Overflow
Finding Kneighbors in sklearn using KDtree with multiple target variables with multiple search criteria
Lets say this is my simple KD tree alogrithm that I am implementing
def Test():
features = np.random.random((10, 2))
X = np.array(features[0:2])
print(X)
tree = KDTree(features,
def Test():
features = np.random.random((10, 2))
X = np.array(features[0:2])
print(X)
tree = KDTree(features,