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محتوای ارائه شده توسط Data Archives - Software Engineering Daily. تمام محتوای پادکست شامل قسمتها، گرافیکها و توضیحات پادکست مستقیماً توسط Data Archives - Software Engineering Daily یا شریک پلتفرم پادکست آنها آپلود و ارائه میشوند. اگر فکر میکنید شخصی بدون اجازه شما از اثر دارای حق نسخهبرداری شما استفاده میکند، میتوانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
Player FM - برنامه پادکست
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Streamlit with Amanda Kelly
Manage episode 380680500 series 1437556
محتوای ارائه شده توسط Data Archives - Software Engineering Daily. تمام محتوای پادکست شامل قسمتها، گرافیکها و توضیحات پادکست مستقیماً توسط Data Archives - Software Engineering Daily یا شریک پلتفرم پادکست آنها آپلود و ارائه میشوند. اگر فکر میکنید شخصی بدون اجازه شما از اثر دارای حق نسخهبرداری شما استفاده میکند، میتوانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
The importance of data teams is undeniable. Most companies today use data to drive decision-making on anything from software feature development to product strategy, hiring and marketing. In some companies data is the product, which can make data teams even more vital. But there’s a common problem – analyzing data is hard and time consuming. Lots of people have questions they want to answer with data, but data teams often don’t have the resources to move quickly. This can create a pernicious effect where organizations stop asking questions about their own data.
Amanda Kelly thinks a lot about data and the dynamics of data teams inside organizations. She’s worked at Google X, and on self-driving cars and cybersecurity. Her experiences on data teams inspired her to co-found Streamlit, which is an open source Python library that gives primitives to assemble a data app for rapid data visualization and interaction. Her goal was to accelerate the iteration loop to go from a question to a data-driven answer. Amanda is currently the COO of Streamlit and a Product Director at Snowflake, and she joins us today to talk all about data and how she’s building Streamlit.

Please click here to view this show’s transcript.
Sponsorship inquiries: [email protected]
The post Streamlit with Amanda Kelly appeared first on Software Engineering Daily.
228 قسمت
Manage episode 380680500 series 1437556
محتوای ارائه شده توسط Data Archives - Software Engineering Daily. تمام محتوای پادکست شامل قسمتها، گرافیکها و توضیحات پادکست مستقیماً توسط Data Archives - Software Engineering Daily یا شریک پلتفرم پادکست آنها آپلود و ارائه میشوند. اگر فکر میکنید شخصی بدون اجازه شما از اثر دارای حق نسخهبرداری شما استفاده میکند، میتوانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
The importance of data teams is undeniable. Most companies today use data to drive decision-making on anything from software feature development to product strategy, hiring and marketing. In some companies data is the product, which can make data teams even more vital. But there’s a common problem – analyzing data is hard and time consuming. Lots of people have questions they want to answer with data, but data teams often don’t have the resources to move quickly. This can create a pernicious effect where organizations stop asking questions about their own data.
Amanda Kelly thinks a lot about data and the dynamics of data teams inside organizations. She’s worked at Google X, and on self-driving cars and cybersecurity. Her experiences on data teams inspired her to co-found Streamlit, which is an open source Python library that gives primitives to assemble a data app for rapid data visualization and interaction. Her goal was to accelerate the iteration loop to go from a question to a data-driven answer. Amanda is currently the COO of Streamlit and a Product Director at Snowflake, and she joins us today to talk all about data and how she’s building Streamlit.

Please click here to view this show’s transcript.
Sponsorship inquiries: [email protected]
The post Streamlit with Amanda Kelly appeared first on Software Engineering Daily.
228 قسمت
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