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Confident Queries & Stronger SQL

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“SQL: good enough for 1986.Good enough for 2022.”—Let’s bring our SQL knowledge into the modern era!

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Confident Queries & Stronger SQL: (BONUS²!!) What makes PostgreSQL so cool?
Thu, Mar 31, 9:30 AM EDT
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Confident Queries & Stronger SQL: ③ Designing for Easy selects
Thu, Mar 24, 9:30 AM EDT
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Confident Queries & Stronger SQL: (BONUS!) pandas vs SQL
Fri, Mar 18, 1:00 PM EDT
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Coding at the Speed of Thought - a 3-part series!

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Do you want to explore how to better design and iterate through the designs of your programs? Do you like watching a complex program emerge from a simple, yet methodical sequence of considerations and decisions? If so, join us for this 3-part series!

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The "Correctness" seminar series offers an in-depth exploration of Python programming with a strong emphasis on ensuring accuracy and reliability.

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In this seminar series, we will share with you some of the hardest problems we have had to solve in pandas and NumPy (and, in our bonus session, hard problems that we have had to solve in Matplotlib!).

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Investigate the Hype

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The "Investigate the Hype" seminar series offers an in-depth exploration of different software that will help make your code more efficient. We'll dive into Textual, DuckDB, Polars, and Apache Arrow and see if they're really worth all the hype!

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Data scientists often need to build dashboards or other web-based interactive tools to present their results and analyses. Even if your organization has a development team, sometimes if you want something done right, you need to do it yourself!

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Performance: A Training Seminar Series

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Looking to enhance your Python skills? If so, join us for this unique seminar series presented in a “lab-style” format, wherein our experienced instructors will live-code solutions to pre-written problems. In our “Python: How the experts do it!”

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Take a bug-hunting journey to identify common pitfalls, edge-cases, and anti-patterns in your code! These mistakes will transcend simple typos and syntax errors, instead pointing to deep conceptual and knowledge gaps when using common tools and libraries.

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