Data analysis is no longer a specialist skill reserved for analysts. It now supports finance, trading, ecommerce, marketing, ...

For most Excel analysts, the hardest part of learning Python was never the language — it was the tooling. Python in Excel removes that barrier entirely. Understanding its architecture is what ...

Microsoft’s research arm has long been fascinated with working with large amounts of data at scale. Projects like TerraServer explored how to search and display geospatial data, mixing mapping and ...

To use AI, you can start with AI chatbots like ChatGPT and Gemini. You can ask questions in natural language and it responds right away. You can also use AI to generate images, videos, and music. For ...

Since its November 2022 launch, ChatGPT has become synonymous with general AI capabilities. Now OpenAI is extending its influence toward a new frontier: ecommerce. OpenAI has officially transformed ...

Unlock deeper analytical capabilities by integrating BQL, Bloomberg’s most advanced data API,  with Python via the BQL Object Model. This session will feature practical demonstrations, code examples, ...

This package contains Python bindings for parasail. Parasail is a SIMD C (C99) library containing implementations of the Smith-Waterman (local), Needleman-Wunsch (global), and semi-global pairwise ...

Have you ever found yourself endlessly clicking through repetitive steps in Excel, wishing there was a way to make the process smarter and faster? While Power Query is a fantastic option for ...

With the vast amount of data generated by the world, the need for an efficient and accurate platform and tool to manage, analyze, and extract value from data is increasing. In 2025, many companies ...

Loading and working with data is a critical task in data science and machine learning. Python, with its powerful pandas library, makes it easier to handle various data formats such as CSV, Excel, JSON ...

Code embeddings are a transformative way to represent code snippets as dense vectors in a continuous space. These embeddings capture the semantic and functional relationships between code snippets, ...

We show that a neural network originally designed for language processing can learn the dynamical rules of a stochastic system by observation of a single dynamical trajectory of the system, and can ...