March - Time to Slash and Dash

Mar 2, 2018 · New York, United States of America

Attention PyData NYC Community! Our second meetup of 2018 is THIS Friday! Our apologies for the late notice, but everything is now in order, and we expect it to be a great event. In General Assembly's big space, we have 3 excellent speakers lined up, with food and drinks provided by Bloomberg.
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Rough schedule:

• 6:00pm - Doors open
• 6:30pm - Speakers
• 8:30pm - Reception
• 9:00pm - Scatter to local bars.


Charley Ferrari, Head of Application Engineering at Plotly - Intro to Plotly Dash
A new library for creating analytic web applications in Python, with no Javascript required, Dash simplifies web application development through two simple but powerful abstractions: A declarative Python interface to rich web components rendered with React.js, and Interactivity between components through a functional reactive interface where we write code from the perspective of the “outputs” rather than from the “inputs”. In this talk, we’ll give a brief overview of Dash’s interface and architecture. Then, we’ll discuss the ways that the Dash community has been using the library and what’s to come in 2018.

Victor Olex, Founder and CEO, SlashDB - REST APIs as an alternative to DBAPI and ODBC for database access
Data sleep in databases, and come to life in the hands of data scientists. First they have to locate, extract and transform the data into format suitable for analysis and reporting. Using SQL, DBAPI and ODBC that process can be quite tedious and sometimes downright impossible, especially if the database is on the other side of the firewall. Using Jupyter Notebook and SlashDB we will demonstrate a RESTful API alternative, which solves all those issues quickly, securely and in a user friendly manner.

Alex Samuel, Quant Developer at Tudor - It's About Time
Time is a tricky concept. Humans complicate it further by imposing intricate geographical, social, political, astronomical, and business units and rules. Many software systems have attempted to model various facets of time measurement and computation. The Python ecosystem is no exception, and provides a wide range of libraries and tools, each with its own features and tradeoffs. In this talk, I'll discuss some of them: classic "epoch seconds"; the standard library datetime module; numpy's datetime64; and various old and new third-party libraries. I'll examine each from a number of angles, such as the features it provides, the special cases it addresses, convenience, and performance in scalar and vector contexts. No one time representation is the universal winner. My goal is to help you choose the one that fits your specific needs.

Event organizers
  • PyData NYC

    PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to)

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