Code Library | Explore Python and Multi-Language Function Collections

gensim

This function uses Word2Vec or Doc2Vec models from the gensim library to generate a sentence with random words. The user can specify the model type (dbow or doc2vec) and the number of words to generate.

2024-12-16 12:18:02 Text generation 32 views

The nltk library, including word_tokenize, stopwords, and WordNetLemmatizer.

This function takes a text and a language parameter, then uses the nltk library for tokenization, stop word removal, and lemmatization.

2024-12-16 12:18:01 Function 32 views

PyNFC

This function uses a reader object from the PyNFC library to read data from an NFC tag. It connects to the NFC reader, reads the tag, and then returns the data read from the tag. If an error occurs, it returns the error message.

2024-12-16 12:18:01 NFC Tag Reader Function 24 views

Flask, Jinja2

This function creates a Flask application with two routes: one for handling POST requests and returning a JSON response, and another for rendering an HTML template.

2024-12-16 12:18:01 Web Application 31 views

SHAP, Numpy

This function uses the SHAP library to visualize the SHAP values for a given model and data. It takes input features, target variable, model, and feature names as inputs and generates a visualization of the SHAP values.

2024-12-16 12:18:00 The type of code 37 views

matplotlib, Counter, datetime, collections

The function takes a text as input and generates a word count histogram using the matplotlib library, showing the 20 most common words and their frequencies in the text.

2024-12-16 12:18:00 Custom function 35 views

Altair library, Python programming language

This function randomly selects a chart type from the Altair library, then randomly selects a data field, color scale, and mark type to generate a random chart.

2024-12-16 12:18:00 The type of code 43 views

Pillow

This function takes an image path and brightness and contrast factors to adjust the brightness and contrast of the image, and saves the adjusted image.

2024-12-16 12:17:59 Image processing 23 views

Scikit-learn

This function uses the RandomForestClassifier from Scikit-learn to fit a model on the training data, make predictions on the test data, and then calculate and return the accuracy of the predictions.

2024-12-16 12:17:59 Machine learning classification 33 views

Python, PyMongo

This function randomly selects and returns a document from the specified MongoDB collection. If a filter condition is provided, it will only select documents that match the condition.

2024-12-16 12:17:59 The type of code 37 views

Code

This function uses Word2Vec or Doc2Vec models from the gensim library to generate a sentence with random words. The user can specify the model type (dbow or doc2vec) and the number of words to generate.

This function takes a text and a language parameter, then uses the nltk library for tokenization, stop word removal, and lemmatization.

This function uses a reader object from the PyNFC library to read data from an NFC tag. It connects to the NFC reader, reads the tag, and then returns the data read from the tag. If an error occurs, it returns the error message.

This function creates a Flask application with two routes: one for handling POST requests and returning a JSON response, and another for rendering an HTML template.

This function uses the SHAP library to visualize the SHAP values for a given model and data. It takes input features, target variable, model, and feature names as inputs and generates a visualization of the SHAP values.

The function takes a text as input and generates a word count histogram using the matplotlib library, showing the 20 most common words and their frequencies in the text.

This function randomly selects a chart type from the Altair library, then randomly selects a data field, color scale, and mark type to generate a random chart.

This function takes an image path and brightness and contrast factors to adjust the brightness and contrast of the image, and saves the adjusted image.

This function uses the RandomForestClassifier from Scikit-learn to fit a model on the training data, make predictions on the test data, and then calculate and return the accuracy of the predictions.

This function randomly selects and returns a document from the specified MongoDB collection. If a filter condition is provided, it will only select documents that match the condition.

Code Search

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1 . The function takes multiple iterable objects as input and returns an iterator that produces tuples, each containing the next value from each input iterable. If an iterable is exhausted first, the value at that position is filled with the specified `fillvalue`.

2 . This function takes a list as input and then uses the sample method from the random module to shuffle the order of the elements in the list and return it.

3 . This function merges two lists and sorts them using the sorted function

4 . This function calculates the square root of the input number.

5 . This function takes a string argument and returns a dictionary containing the count of each English letter (case insensitive) in the string.

6 . This function takes a list of strings as input and returns all unique palindromes in the list.

7 . This function uses the BeautifulSoup library to extract all links from the given HTML content. It can specify the tag to search for and the attributes to filter the links.

8 . This function combines multiple iterable objects into a tuple. If one of the iterable objects is longer than the others, it fills the remaining positions with `fillvalue`.

9 . The function is used to merge multiple iterable objects into one iterator. If the iterables are of uneven length, the specified value is used to fill in the shorter iterables.

10 . This function first generates a random string of a specified length, then retrieves the current time and current directory, converts the string to JSON format, calculates its MD5 hash, checks if it contains a digit, and finally calculates the length of the string and prints all results.