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Why NumPy is the Foundation of Python Data Analysis

These simple operations and others are why NumPy is a building block for statistical analysis with Python. NumPy also makes ...
InfoWorld

7 newer data science tools you should be using with Python

Already using NumPy, Pandas, and Scikit-learn? Here are seven more powerful data wrangling tools that deserve a place in your ...
CIO

Google Cloud adds features to Colab to boost data scientists’ productivity

Google Cloud is adding new features to Colab in BigQuery that, it said, will boost the productivity of data scientists.
Analytics Insight

NumPy vs. PyTorch: What’s Best for Your Numerical Computation Needs?

Overview: NumPy is ideal for data analysis, scientific computing, and basic ML tasks.PyTorch excels in deep learning, GPU ...
VentureBeat

Anthropic releases Model Context Protocol to standardize AI-data integration

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now One decision many enterprises have to make ...
FinanceFeeds

Sourcetable Launches Advanced Multi-Asset Analysis Solution for Retail Investors

Sourcetable has introduced Sourcetable Quant, a finance-focused extension of its AI spreadsheet that packages macro models, portfolio balancing, and advanced ...
InfoWorld

Java or Python for building agents?

The surest way to value with AI is to use the tools that leverage your organization’s hard-won expertise and that integrate ...
Nature

A framework for parameter estimation and model selection from experimental data in systems biology using approximate Bayesian computation

Experimental data and mathematical models are beginning to take equal billing in systems biology. Experimental observations without a framework in which to link them offer researchers only limited ...