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    <title>Teaching Python - Episodes Tagged with “Data”</title>
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    <pubDate>Fri, 14 Jul 2023 15:00:00 -0400</pubDate>
    <description>Teaching Python is a podcast about Python programming, computer science education, AI literacy, software development, cloud computing, cybersecurity, data, and how people learn technical skills. Hosted by Kelly Schuster-Paredes, Sean Tibor, and Julian Sequeira, the show is for educators, developers, technology leaders, and lifelong learners who want to better understand how Python connects to the wider world of computing. Episodes explore not only how people learn to code, but also how they build technical judgment, understand systems, evaluate AI-generated code, work with data, think about security, and move from beginner programming into real-world software development. About the Hosts Kelly Schuster-Paredes is a teacher who codes whose work has expanded from classroom computer science into AI strategy, curriculum design, professional learning, educational technology, and responsible technology adoption. Her background in Python and computer science education shapes her focus on learning, AI literacy, computational thinking, and what people need to understand in an AI-shaped world. Sean Tibor is Vice President of Infrastructure and Cloud at Pfizer and a former computer science teacher. He brings expertise in cloud computing, infrastructure, engineering operations, and technical leadership, connecting what people learn about computing with how large-scale systems are actually built, operated, secured, and maintained. Julian Sequiera is a technologist, Fractional CTO, and Senior Program Manager with more than 20 years of experience in infrastructure, cloud, engineering operations, and large-scale technology programs. He is also the co-founder of PyBites, a Python learning platform and community that has helped thousands of developers improve their Python and software development skills. What We Cover Python Programming and Computer Science Education: Learning Python, teaching programming, computational thinking, debugging, code literacy, and helping beginners build strong mental models. AI and AI Literacy: AI-assisted programming, evaluating AI-generated code, responsible AI use, human judgment, and what learners still need to understand when AI can produce code. Cloud, Infrastructure, and Cybersecurity: Systems, networks, deployment, security, reliability, architecture, and the operational side of software. Data and Software Engineering: APIs, databases, testing, maintainability, version control, software design, and moving from simple scripts to real-world applications. Learning and Technical Growth: How people learn difficult technical concepts, get unstuck, build confidence, and develop the judgment needed to use technology well. Expert Interviews: Conversations with educators, developers, engineers, researchers, technology leaders, and others shaping the future of computing and technical education. Teaching Python remains grounded in Python, but the conversation extends beyond syntax. The podcast explores the knowledge, skills, systems, and judgment people need to learn, build, and make responsible decisions with technology.</description>
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    <itunes:subtitle>We're two computer science educators learning and teaching Python</itunes:subtitle>
    <itunes:author>Sean Tibor and Kelly Paredes</itunes:author>
    <itunes:summary>Teaching Python is a podcast about Python programming, computer science education, AI literacy, software development, cloud computing, cybersecurity, data, and how people learn technical skills. Hosted by Kelly Schuster-Paredes, Sean Tibor, and Julian Sequeira, the show is for educators, developers, technology leaders, and lifelong learners who want to better understand how Python connects to the wider world of computing. Episodes explore not only how people learn to code, but also how they build technical judgment, understand systems, evaluate AI-generated code, work with data, think about security, and move from beginner programming into real-world software development. About the Hosts Kelly Schuster-Paredes is a teacher who codes whose work has expanded from classroom computer science into AI strategy, curriculum design, professional learning, educational technology, and responsible technology adoption. Her background in Python and computer science education shapes her focus on learning, AI literacy, computational thinking, and what people need to understand in an AI-shaped world. Sean Tibor is Vice President of Infrastructure and Cloud at Pfizer and a former computer science teacher. He brings expertise in cloud computing, infrastructure, engineering operations, and technical leadership, connecting what people learn about computing with how large-scale systems are actually built, operated, secured, and maintained. Julian Sequiera is a technologist, Fractional CTO, and Senior Program Manager with more than 20 years of experience in infrastructure, cloud, engineering operations, and large-scale technology programs. He is also the co-founder of PyBites, a Python learning platform and community that has helped thousands of developers improve their Python and software development skills. What We Cover Python Programming and Computer Science Education: Learning Python, teaching programming, computational thinking, debugging, code literacy, and helping beginners build strong mental models. AI and AI Literacy: AI-assisted programming, evaluating AI-generated code, responsible AI use, human judgment, and what learners still need to understand when AI can produce code. Cloud, Infrastructure, and Cybersecurity: Systems, networks, deployment, security, reliability, architecture, and the operational side of software. Data and Software Engineering: APIs, databases, testing, maintainability, version control, software design, and moving from simple scripts to real-world applications. Learning and Technical Growth: How people learn difficult technical concepts, get unstuck, build confidence, and develop the judgment needed to use technology well. Expert Interviews: Conversations with educators, developers, engineers, researchers, technology leaders, and others shaping the future of computing and technical education. Teaching Python remains grounded in Python, but the conversation extends beyond syntax. The podcast explores the knowledge, skills, systems, and judgment people need to learn, build, and make responsible decisions with technology.</itunes:summary>
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    <itunes:keywords>Python, Python programming, learn Python, teaching Python, computer science education, coding education, programming for beginners, Python for beginners, computational thinking, code literacy, debugging, software development, software engineering, data science, artificial intelligence, AI literacy, AI-assisted coding, generative AI, machine learning, cybersecurity, cloud computing, cloud infrastructure, APIs, databases, systems thinking, technical education, STEM education, educational technology, edtech, curriculum design, instructional design, professional learning, teacher professional development, coding for students, computer science curriculum, physical computing, robotics, responsible AI, digital literacy, data literacy, technology leadership, developer education, technical coaching, lifelong learning, learning to code, teaching programming, real-world programming, coding with AI, Python podcast, computer science podcast, technology education podcast, programming podcast</itunes:keywords>
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      <itunes:name>Sean Tibor and Kelly Paredes</itunes:name>
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  <title>Episode 112: Dash, Plotly, and Learning</title>
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  <pubDate>Fri, 14 Jul 2023 15:00:00 -0400</pubDate>
  <author>Sean Tibor and Kelly Paredes</author>
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  <itunes:episode>112</itunes:episode>
  <itunes:title>Dash, Plotly, and Learning</itunes:title>
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  <itunes:author>Sean Tibor and Kelly Paredes</itunes:author>
  <itunes:subtitle>In this episode, Kelly and Sean meet with Adam Schroeder, community manager at Plotly and author of The Book of Dash. We'll talk about how teachers can use data visualization in the classroom with Dash to bring data to life for their students.</itunes:subtitle>
  <itunes:duration>45:14</itunes:duration>
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  <description>&lt;p&gt;In this episode, Kelly and Sean meet with Adam Schroeder, community manager at Plotly and author of The Book of Dash. We'll talk about how teachers can use data visualization in the classroom with Dash to bring data to life for their students.&lt;/p&gt;

&lt;p&gt;If you're not familiar with the Dash and Plotly Python libraries, you can get started here with us! Dash is a library for building web-based dashboards to visualize your Python data. It uses Plotly, a library for making beautiful visualizations of data that are highly interactive.&lt;/p&gt;

&lt;p&gt;Both libraries are open-source and maintained by the Plotly company, which provides enterprise-grade implementations of Dash and Plotly for business customers. Special Guest: Adam Schroeder.&lt;/p&gt;
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    <![CDATA[<p>In this episode, Kelly and Sean meet with Adam Schroeder, community manager at Plotly and author of The Book of Dash. We'll talk about how teachers can use data visualization in the classroom with Dash to bring data to life for their students.</p>

<p>If you're not familiar with the Dash and Plotly Python libraries, you can get started here with us! Dash is a library for building web-based dashboards to visualize your Python data. It uses Plotly, a library for making beautiful visualizations of data that are highly interactive.</p>

<p>Both libraries are open-source and maintained by the Plotly company, which provides enterprise-grade implementations of Dash and Plotly for business customers.</p><p>Special Guest: Adam Schroeder.</p><p><a rel="payment" href="https://www.patreon.com/teachingpython">Support Teaching Python</a></p><p>Links:</p><ul><li><a title="Dash in 20 Minutes Tutorial | Dash for Python Documentation | Plotly" rel="nofollow" href="https://dash.plotly.com/tutorial">Dash in 20 Minutes Tutorial | Dash for Python Documentation | Plotly
</a> &mdash; By the end of this tutorial, you will understand the basic building blocks of Dash and you will know how to build this app.
</li><li><a title="Plotly Blog - What Scientists, Engineers, Teachers, &amp;..." rel="nofollow" href="https://blog.plotly.com/post/101948363382/teachers-professors-and-students-use-plotly-and">Plotly Blog - What Scientists, Engineers, Teachers, &amp;...
</a> &mdash; Making graphs and analyzing data are essential skills for science, engineering, journalism, and data analysis of all types. Collaborating online with our team means we can work better and faster. The status quo tools–pencil and paper, desktop software, and graphing calculators–present problems.
</li><li><a title="Plotly: Low-Code Data App Development" rel="nofollow" href="https://plotly.com/">Plotly: Low-Code Data App Development
</a> &mdash; Dash Enterprise is the premier platform for
building, scaling, and deploying data apps in Python.
</li><li><a title="The Book of Dash | No Starch Press" rel="nofollow" href="https://nostarch.com/book-dash">The Book of Dash | No Starch Press
</a> &mdash; A swift and practical introduction to building interactive data visualization apps in Python, known as dashboards. You’ve seen dashboards before; think election result visualizations you can update in real time, or population maps you can filter by demographic. With the Python Dash library you’ll create analytic dashboards that present data in effective, usable, elegant ways in just a few lines of code.
</li><li><a title="Charming Data - YouTube" rel="nofollow" href="https://www.youtube.com/@CharmingData">Charming Data - YouTube
</a></li><li><a title="Minecraft EDU Digital Citizenship" rel="nofollow" href="https://education.minecraft.net/en-us/resources/digital-citizenship-subject-kit">Minecraft EDU Digital Citizenship
</a> &mdash; Minecraft is an open-world game full of possibilities, where players can create and build, solve problems together, and explore amazing worlds. Learn how Minecraft is transforming education. Minecraft is working on a series of digital literacy/cyber safety worlds and lessons. 
</li></ul>]]>
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  <itunes:summary>
    <![CDATA[<p>In this episode, Kelly and Sean meet with Adam Schroeder, community manager at Plotly and author of The Book of Dash. We'll talk about how teachers can use data visualization in the classroom with Dash to bring data to life for their students.</p>

<p>If you're not familiar with the Dash and Plotly Python libraries, you can get started here with us! Dash is a library for building web-based dashboards to visualize your Python data. It uses Plotly, a library for making beautiful visualizations of data that are highly interactive.</p>

<p>Both libraries are open-source and maintained by the Plotly company, which provides enterprise-grade implementations of Dash and Plotly for business customers.</p><p>Special Guest: Adam Schroeder.</p><p><a rel="payment" href="https://www.patreon.com/teachingpython">Support Teaching Python</a></p><p>Links:</p><ul><li><a title="Dash in 20 Minutes Tutorial | Dash for Python Documentation | Plotly" rel="nofollow" href="https://dash.plotly.com/tutorial">Dash in 20 Minutes Tutorial | Dash for Python Documentation | Plotly
</a> &mdash; By the end of this tutorial, you will understand the basic building blocks of Dash and you will know how to build this app.
</li><li><a title="Plotly Blog - What Scientists, Engineers, Teachers, &amp;..." rel="nofollow" href="https://blog.plotly.com/post/101948363382/teachers-professors-and-students-use-plotly-and">Plotly Blog - What Scientists, Engineers, Teachers, &amp;...
</a> &mdash; Making graphs and analyzing data are essential skills for science, engineering, journalism, and data analysis of all types. Collaborating online with our team means we can work better and faster. The status quo tools–pencil and paper, desktop software, and graphing calculators–present problems.
</li><li><a title="Plotly: Low-Code Data App Development" rel="nofollow" href="https://plotly.com/">Plotly: Low-Code Data App Development
</a> &mdash; Dash Enterprise is the premier platform for
building, scaling, and deploying data apps in Python.
</li><li><a title="The Book of Dash | No Starch Press" rel="nofollow" href="https://nostarch.com/book-dash">The Book of Dash | No Starch Press
</a> &mdash; A swift and practical introduction to building interactive data visualization apps in Python, known as dashboards. You’ve seen dashboards before; think election result visualizations you can update in real time, or population maps you can filter by demographic. With the Python Dash library you’ll create analytic dashboards that present data in effective, usable, elegant ways in just a few lines of code.
</li><li><a title="Charming Data - YouTube" rel="nofollow" href="https://www.youtube.com/@CharmingData">Charming Data - YouTube
</a></li><li><a title="Minecraft EDU Digital Citizenship" rel="nofollow" href="https://education.minecraft.net/en-us/resources/digital-citizenship-subject-kit">Minecraft EDU Digital Citizenship
</a> &mdash; Minecraft is an open-world game full of possibilities, where players can create and build, solve problems together, and explore amazing worlds. Learn how Minecraft is transforming education. Minecraft is working on a series of digital literacy/cyber safety worlds and lessons. 
</li></ul>]]>
  </itunes:summary>
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  <title>Episode 79: Working with Student Data</title>
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  <pubDate>Thu, 18 Nov 2021 00:00:00 -0500</pubDate>
  <author>Sean Tibor and Kelly Paredes</author>
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  <itunes:episode>79</itunes:episode>
  <itunes:title>Working with Student Data</itunes:title>
  <itunes:episodeType>full</itunes:episodeType>
  <itunes:author>Sean Tibor and Kelly Paredes</itunes:author>
  <itunes:subtitle>This episode is all about working with the data we generate for students, whether it's in the classroom, your school, or your district. Special guest star Rusti Gregory joins us to talk about his transition from the classroom to the data manager role.</itunes:subtitle>
  <itunes:duration>39:58</itunes:duration>
  <itunes:explicit>no</itunes:explicit>
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  <description>&lt;p&gt;This episode is all about working with the data we generate for students, whether it's in the classroom, your school, or your district. Special guest star Rusti Gregory joins us to talk about his transition from the classroom to the data manager role. Special Guest: Rusti Gregory.&lt;/p&gt;
</description>
  <itunes:keywords>data, classroom,students,education,python</itunes:keywords>
  <content:encoded>
    <![CDATA[<p>This episode is all about working with the data we generate for students, whether it's in the classroom, your school, or your district. Special guest star Rusti Gregory joins us to talk about his transition from the classroom to the data manager role.</p><p>Special Guest: Rusti Gregory.</p><p><a rel="payment" href="https://www.patreon.com/teachingpython">Support Teaching Python</a></p><p>Links:</p><ul><li><a title="Trick or Treat for Programmers" rel="nofollow" href="https://i.redd.it/opxvipn7lav51.png">Trick or Treat for Programmers
</a> &mdash; Sure, you know Trick OR Treat, but how about Trick XNOR Treat?
</li></ul>]]>
  </content:encoded>
  <itunes:summary>
    <![CDATA[<p>This episode is all about working with the data we generate for students, whether it's in the classroom, your school, or your district. Special guest star Rusti Gregory joins us to talk about his transition from the classroom to the data manager role.</p><p>Special Guest: Rusti Gregory.</p><p><a rel="payment" href="https://www.patreon.com/teachingpython">Support Teaching Python</a></p><p>Links:</p><ul><li><a title="Trick or Treat for Programmers" rel="nofollow" href="https://i.redd.it/opxvipn7lav51.png">Trick or Treat for Programmers
</a> &mdash; Sure, you know Trick OR Treat, but how about Trick XNOR Treat?
</li></ul>]]>
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