MongoDB, pymongo This function randomly selects and returns a document from the specified MongoDB collection. 2024-12-16 12:16:32 MongoDB query 14 views
The code uses the nose library and its assertion features to define a test case that checks whether a randomly generated number is a positive integer. This code defines a test case function using the assertion features of the nose library to test whether a randomly generated number is a positive integer. 2024-12-16 12:16:32 The type of code 16 views
Flask-Login This function attempts to log in a user with the given username and password. It assumes that there is a user loader callback that loads the user object from the database. 2024-12-16 12:16:31 Flask-Login Function 23 views
Bokeh, Pandas, NumPy This function creates a scatter plot to show the relationship between two sets of data. It first generates some sample data using Pandas and NumPy, then passes these data to `ColumnDataSource` in the Bokeh library, and finally creates a scatter plot using Bokeh and displays it. 2024-12-16 12:16:31 Data visualization 16 views
OpenCV, NumPy This function reads an image file and rotates it by a given angle, returning the rotated image. 2024-12-16 12:16:31 Image processing 13 views
SciPy, NumPy, minimize_scalar This function utilizes the minimize_scalar function from the scipy.optimize module to find the minimum value of a given function. 2024-12-16 12:16:31 Function 16 views
The Questionary library is not used, but the Python built-in random module is used to randomly select a quote. This function randomly returns a famous quote. 2024-12-16 12:16:30 Function 21 views
PySerial This function attempts to open a serial connection with randomly specified parameters. If successful, it returns a serial object; if not, it returns None. 2024-12-16 12:16:30 Function 29 views
Python, lxml, HTML, XPath This function extracts text from a specific tag in an HTML content using the lxml library. It uses HTML parsing capabilities of lxml to query specific tags and then extract their text content. 2024-12-16 12:16:30 Function 24 views
Image processing, OpenCV, NumPy, random selection The function randomly selects one of the three possible image filters (Gaussian Blur, Median Blur, Bilateral Filter) and applies it to the input image. Parameters such as Gaussian kernel size, median kernel size, bilateral filter's radial distance, and standard deviation are randomly generated. 2024-12-16 12:16:30 Image processing 13 views