This year, Taipy Sponsors PyData NYC 2023. The 2023 edition of this conference was a star-studded event that saw the participation of Taipy, with a dedicated team of experts. Alexandre Sajus, Florian Jacta, and Marine Gosselin took center stage, representing Taipy, and made sure that the event lived up to its reputation as one of the most inclusive and respectful conferences in the Data and Python community. In this article, we'll explore Taipy's involvement in PyData NYC (New York City) and its significant contributions to the event.

What is PyData NYC?

PyData NYC is more than just a conference; it's a commitment to creating an inclusive and respectful environment that welcomes participation from people of all backgrounds. The conference fosters deeper discussions and aims to build a stronger community by encouraging diversity and inclusivity.

PyData NYC's diversity statement reflects its dedication to promoting a culture of mutual respect, tolerance, and learning. A diverse community, where individuals treat each other respectfully, holds the potential for more contributors, a wider array of ideas, and fewer shared assumptions that can sometimes hinder development or research.

The conference recognizes that certain identities may be disproportionately impacted by systemic discrimination and marginalization. Regardless of identity or background, PyData NYC and the NumFOCUS community are open to welcoming all individuals.

Taipy sponsors PyData NYC 2023

At PyData NYC, Taipy made a significant impact through its booth and a talk. The Taipy team introduced attendees to Taipy's latest features through its 3.0 release, which aired just a few days before. But the excitement didn't stop there; Taipy also presented TalkToTaipy, the latest additions to their toolkit.

You met us at the Booth:

The Taipy booth at PyData NYC served as a hub for engaging with conference participants. Marine Gosselin, a key member of the Taipy team, interacted with attendees, providing insights into Taipy's capabilities, and answering questions. The booth was abuzz with discussions on how Taipy is simplifying web development and data analysis.

You joined us at the Talk:

The highlight of Taipy's presence at PyData NYC was the talk presented by Alexandre Sajus and Florian Jacta. The dynamic duo showcased Taipy, clarifying that you don't need to be a web development expert to create highly interactive applications. They discussed how Taipy fills the gap in the Python backend stack, offering powerful solutions for data-driven applications, especially with its new release, which aired just a few days earlier. This 3.0 offers many new features to go further in the simplification of Taipy usage a Python API, a Scheduler API, an application versioning, data broadcasting, templates... and so on, Check the whole list HERE

TalkToTaipy:

In addition to the existing Taipy features, PyData NYC attendees got a sneak peek into TalkTo aipy.

TalkToTaipy:

Taipy has developed its own LLM application. This Large Language Model tool is a groundbreaking Python Web App designed to revolutionize how you interact with data. Here's why this tool is a game-changer:

📈 𝗘𝗳𝗳𝗼𝗿𝘁𝗹𝗲𝘀𝘀 𝗗𝗮𝘁𝗮 𝗜𝗻𝘀𝗶𝗴𝗵𝘁𝘀: With TalkToTaipy, querying your dataset becomes a breeze. It delivers results in the form of tables and plots effortlessly. Want to create a pie chart to visualize sales by product line or pinpoint the top five most profitable cities? It's as simple as having a conversation!

💡𝗧𝗵𝗲 𝗠𝗮𝗴𝗶𝗰 𝗕𝗲𝗵𝗶𝗻𝗱 𝘁𝗵𝗲 𝗦𝗰𝗲𝗻𝗲𝘀: TalkToTaipy harnesses the power of an 8Gb quantized version of StarCoder, the renowned Hugging Face Language Model, hosted on Microsoft Azure. Utilizing the brilliance of few-shot learning, it processes your queries and provides precise, data-driven answers.

🌐 𝗦𝗲𝗮𝗺𝗹𝗲𝘀𝘀 𝗨𝘀𝗲𝗿 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲: Our web domain taipy.io ensure a smooth and reliable experience every time you use TalkToTaipy

In conclusion, Taipy's presence at PyData NYC 2023 added a layer of innovation and excitement to an already vibrant conference. With its commitment to making web development and data analysis accessible to all, Taipy left a lasting impression on attendees and reinforced its place as a key player in the data and Python community.

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