Modern business intelligence demands speed, and utilizing AI tools for Excel is the ultimate way to hyper-charge your data workflows this year.
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These 7 Python libraries are useful even if you're not a developer
Every Python developer knows some or all of these libraries, because they’re stable, reliable, and excellent at what they do.
The only setup required is to download an OAuth 2.0 Client ID file from Google that will authorize your application. This can be done at: https://console.developers ...
Supported Releases: These releases have been certified by Bloomberg’s Enterprise Products team for use by Bloomberg customers. Experimental Releases: These releases have not yet been certified for use ...
Ollama has become the standard for running Large Language Models (LLMs) locally. In this tutorial, I want to show you the most important things you should know about Ollama. Ollama is an open-source ...
ReportLab and fpdf2 are the top choices for flexible and efficient Python PDF generation. HTML-to-PDF tools like WeasyPrint and PDFKit simplify web-to-document workflows. Python PDF generator ...
In a breakthrough announcement, OpenAI recently introduced the ChatGPT API to developers and the public. Particularly, the new “gpt-3.5-turbo” model, which powers ChatGPT Plus has been released at a ...
In our earlier article, we demonstrated how to build an AI chatbot with the ChatGPT API and assign a role to personalize it. But what if you want to train the AI on your own data? For example, you may ...
This code example demonstrates how to secure an Azure Function with Azure AD when the function uses HTTPTrigger and exposes a Web API. The Web API is written using python. This readme walks you ...
Python lets you parallelize workloads using threads, subprocesses, or both. Here's what you need to know about Python's thread and process pools and Python threads after Python 3.13. By default, ...
As developers and dta scientists, we often find ourselves needing to interact with these powerful models through APIs. However, as our applications grow in complexity and scale, the need for efficient ...
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