Datalore

In this article, we'll dive deep into the numbers behind some of the biggest layoffs in recent tech history. Our mission? To uncover whether these workforce reductions truly allowed these behemoths to become more profitable.

Despite the promising stats, data professionals are struggling to find jobs. AI is also shaking things up with capable LLMs, coding assistants, and loads of smart tools for data analytics.

Previously, neXDos prototyped, backtested, and future-proofed their trading algorithms by hosting JupyterLab and JupyterHub. But this approach was problematic due to complexity in many areas, including managing the server environment, carrying out frequent updates, and handling the associated plugins within JupyterLab.

In this post we’ll discuss how AI-driven data science can accelerate investment strategy implementation, enhance client relationships, and make investment management firms more agile.

Following a feature-rich 2024.2 release, we’ve focused on enhancing the quality and reliability of Datalore in our 2024.3 update.

Like many financial organizations, Venerable faced hurdles due to its dependence on Excel. Changes in a single spreadsheet often triggered a chain reaction of adjustments across countless others, leading to mistakes and a lot of manual work.

To scale data science operations and provide valuable insights to both clients and internal stakeholders, Constellation needed a way to streamline collaboration and enhance agility. Learn how Constellation accelerated data science R&D and reporting by 50% with Datalore.

In this article, we'll explore a case study where we perform a Monte Carlo analysis for Value at Risk (VaR) on a stock portfolio, leveraging the power of Python, Datalore, and AI Assistant.

The financial ecosystem relies heavily on Excel, but as data grows, it's showing its limitations. It's time for a change. Enter Python, a game-changer in finance. In this article, I'll guide you through financial data analysis and visualization using Python. We'll explore how this powerful tool can uncover valuable insights, empowering smarter decisions.

The new version brings AI Assistant to on-premises installations and features the evolution of Datalore AI, a revamped homepage design, support for variables in Markdown cells, and more.

I’ve collected some of the most important data points around climate change, and I’ll share with you the status quo through the lens of a data nerd. We’ll also debunk some misconceptions about climate change, explain why there is hope, and how AI, among other technologies, can help us tackle climate challenges (or make them worse).

In this article, I'll walk through the process of backtesting a daily Dow Jones mean reversion strategy using Python in Datalore notebooks. To make it accessible even for those with limited coding experience, I'll leverage Datalore's AI Assistant capabilities.