Will Julia surpass Python in popularity?
In this year’s Stack Overflow developer survey, Julia ranked in the top 5 for the most loved languages
In this year’s Stack Overflow developer survey, Julia ranked in the top 5 for the most loved languages
Do you want to automate data analysis in your projects? LUX is an API which yields efficient and a quick data analysis. Have a look into it.
This article briefs about the process of building a custom python package that can be used to scrape data from the web by using various inbuilt functions of BeautifulSoup.
PyPI took down the malicious ctx versions soon, however, reports still indicate the presence of malicious code within all ctx versions.
The workshop covered extensively the oneAPI AI Analytics toolkit, which contained a core set of tools and libraries for developing high-performance applications on Intel® CPUs, GPUs, and FPGAs.
A user can run many popular packages of Python and the scientific stack like NumPy, pandas, scikit-learn, etc.
The trimming hack is useful for scraping unwanted data.
Brian Kernighan is the brains behind the AWK and AMPL programming languages.
The Regularized Discriminant Analysis is a combination of both Linear and Quadratic discriminant analysis which analyze the observation-based set of measurements to classify the objects into one of several groups or classes.
Python is often used as a glueing layer that relies on compiled optimised packages that it strings together to perform the target computations.
The dummy variable trap occurs when the dummy variables generated are having multicollinearity and are used for training the model.
Principal Components Regression (PCR) is a technique for analyzing multiple regression data that suffer from multicollinearity. Principal components regression reduces errors in regression estimates by adding a degree of bias
In statistics and machine learning, ordinal regression is a variant of regression models that normally gets utilized when the data has an ordinal variable. Ordinal variable means a type of variable where the values inside the variable are categorical but in order.
Intel®’s accelerated Python* packages enable scientists to take advantage of the productivity of Python while taking advantage of the ever-increasing performance of modern hardware.
Stumpy is a powerful and scalable library for modern time series analysis.
FastTreeSHAP has been widely used for explaining tree-based models.
A Pivot table is an exquisite tool to calculate, scrutinize and epitomize a large amount of data by the method of aggregation functions. These aggregation
Student’s t-test tests whether two samples belong to the same population by considering a null hypothesis that their means are equal
The Chi-square test is one of the statistical tests we can use to decide whether there is a correlation between the categorical variables.
The most comprehensive Repository of Python Libraries for Data Science Recent Tutorials EDA, Visualization & Data Handling S No. Library Year Released Release Docs Tutorials
Python for Data Science is a one-page Python cheat sheet to learn the fundamentals of this programming language.
The ggplot package of the R programming language makes the R richer on the side of data visualization. In python as well, various packages are also available for data visualization. If the features and capabilities of ggplot can be used in python, it will be a valuable advantage in many visualization specific tasks.
“Better database access modules, an integrated development environment, more documentation and more users, of course,” is what Guido van Rossum, creator of Python programming language,
AdverTorch is a tool developed by the Borealis AI research lab that employs a number of attack-and-defence tactics.
Interpretable modelling offers an alternative to common black-box modelling.
Kats stands for Kits to Analyze Time Series, which was developed by the researchers at Facebook, now Meta. One of the most important things about Kats is that it is very easy to use. Also, it is a very light weighted library of generic time series analysis in a very generalized nature.
In mathematics, especially in probability theory and statistics, probability distribution represents the values of a variable that holds the probabilities of an experiment. distribution.
The Microsoft Surface Book 2 is a fantastic option for any coders out there, as it is one of the most powerful 2-in-1 laptops available
Though Spark has APIs for both Scala and Python, let us try to understand which one you should choose for using the Apache Spark framework.
TIOBE is one of the leading trackers of language popularity.
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