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    <title>Teaching Python - Episodes Tagged with “Code Challenges”</title>
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    <pubDate>Thu, 21 Feb 2019 10:00:00 -0500</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 12: Intercontinental Python with Bob and Julian from PyBites</title>
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  <pubDate>Thu, 21 Feb 2019 10:00:00 -0500</pubDate>
  <author>Sean Tibor and Kelly Paredes</author>
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  <itunes:episode>12</itunes:episode>
  <itunes:title>Intercontinental Python with Bob and Julian from PyBites</itunes:title>
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  <itunes:author>Sean Tibor and Kelly Paredes</itunes:author>
  <itunes:subtitle>In this episode, Kelly and Sean meet Bob and Julian from PyBit.es to discuss strategies, and how to seek advice and motivation when learning Python.
</itunes:subtitle>
  <itunes:duration>44:45</itunes:duration>
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  <description>&lt;p&gt;In this episode, Kelly and Sean meet Bob and Julian from PyBit.es to discuss strategies, and how to seek advice and motivation when learning Python.&lt;/p&gt;

&lt;p&gt;Bob is a driven Pythonista working as a software developer at Oracle.. Bob is passionate about automation, data, web development, code quality, and mentoring other developers.”&lt;/p&gt;

&lt;p&gt;Julian is a  Data Centre Technician at Amazon Web Services. He started coding a few years ago and codes for fun and to solve everyday projects.&lt;/p&gt;

&lt;p&gt;Together they founded PyBites, a Python blog featuring code challenges, articles, and news. &lt;/p&gt;&lt;p&gt;Special Guests: Bob Belderbos and Julian Sequeira.&lt;/p&gt;</description>
  <itunes:keywords>python,code challenges, education, learning</itunes:keywords>
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    <![CDATA[<p>In this episode, Kelly and Sean meet Bob and Julian from PyBit.es to discuss strategies, and how to seek advice and motivation when learning Python.</p>

<p>Bob is a driven Pythonista working as a software developer at Oracle.. Bob is passionate about automation, data, web development, code quality, and mentoring other developers.”</p>

<p>Julian is a  Data Centre Technician at Amazon Web Services. He started coding a few years ago and codes for fun and to solve everyday projects.</p>

<p>Together they founded PyBites, a Python blog featuring code challenges, articles, and news. </p><p>Special Guests: Bob Belderbos and Julian Sequeira.</p><p><a rel="payment" href="https://www.patreon.com/teachingpython">Support Teaching Python</a></p><p>Links:</p><ul><li><a title="PyBites – Hone Your Python Skills" rel="nofollow" href="https://pybit.es/">PyBites – Hone Your Python Skills
</a> &mdash; Welcome to PyBites, a blog lovingly created by mates Bob Belderbos and Julian Sequeira.

It serves as a medium for the two of them to document the lessons and concepts they learn as they delve into the wonderful world of Python. It's their hope that they'll be able to help other Python users along the way too!
</li><li><a title="PyBites Code Challenges | Hone Your Python Skills" rel="nofollow" href="https://codechalleng.es/">PyBites Code Challenges | Hone Your Python Skills
</a> &mdash; Learn Python From the Comfort of Your Own Browser
</li><li><a title="#100DaysOfCode Official Website | #100DaysOfCode" rel="nofollow" href="https://www.100daysofcode.com/">100DaysOfCode Official Website | #100DaysOfCode
</a></li><li><a title="pandas · PyPI" rel="nofollow" href="https://pypi.org/project/pandas/">pandas · PyPI
</a> &mdash; pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with structured (tabular, multidimensional, potentially heterogeneous) and time series data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python. Additionally, it has the broader goal of becoming the most powerful and flexible open source data analysis / manipulation tool available in any language. It is already well on its way toward this goal.
</li><li><a title="Episode #140 Level up your Python with #100DaysOfCode challenge - [Talk Python To Me Podcast]" rel="nofollow" href="https://talkpython.fm/episodes/show/140/level-up-your-python-with-100daysofcode-challenge">Episode #140 Level up your Python with #100DaysOfCode challenge - [Talk Python To Me Podcast]
</a> &mdash; How do you learn libraries or parts of Python itself that you don't have actual work projects involving them? Whether that's SQLAlchemy, Slack bots, or map APIs, actually building projects (small and large) with them is really the only way to gain true competency. 

You might try a 100 days of Python code challenges. 

This week you'll meet Bob Belderbos and Julian Sequeira who created PyBites. The have done a few 100 days of code challenges and are here to share their experience and some concrete examples. 
</li><li><a title="pytest · PyPI" rel="nofollow" href="https://pypi.org/project/pytest/">pytest · PyPI
</a> &mdash; The pytest framework makes it easy to write small tests, yet scales to support complex functional testing for applications and libraries.
</li><li><a title="requests · PyPI" rel="nofollow" href="https://pypi.org/project/requests/">requests · PyPI
</a></li><li><a title="Flask · PyPI" rel="nofollow" href="https://pypi.org/project/Flask/">Flask · PyPI
</a></li><li><a title="Teaching AI: Exploring New Frontiers for Learning: Michelle Zimmerman: 9781564847058: Amazon.com: Books" rel="nofollow" href="https://www.amazon.com/dp/1564847055/ref=nosim?tag=teachingpython-20">Teaching AI: Exploring New Frontiers for Learning: Michelle Zimmerman: 9781564847058: Amazon.com: Books
</a> &mdash; Kelly's reading this book about machine learning and AI right now.
</li></ul>]]>
  </content:encoded>
  <itunes:summary>
    <![CDATA[<p>In this episode, Kelly and Sean meet Bob and Julian from PyBit.es to discuss strategies, and how to seek advice and motivation when learning Python.</p>

<p>Bob is a driven Pythonista working as a software developer at Oracle.. Bob is passionate about automation, data, web development, code quality, and mentoring other developers.”</p>

<p>Julian is a  Data Centre Technician at Amazon Web Services. He started coding a few years ago and codes for fun and to solve everyday projects.</p>

<p>Together they founded PyBites, a Python blog featuring code challenges, articles, and news. </p><p>Special Guests: Bob Belderbos and Julian Sequeira.</p><p><a rel="payment" href="https://www.patreon.com/teachingpython">Support Teaching Python</a></p><p>Links:</p><ul><li><a title="PyBites – Hone Your Python Skills" rel="nofollow" href="https://pybit.es/">PyBites – Hone Your Python Skills
</a> &mdash; Welcome to PyBites, a blog lovingly created by mates Bob Belderbos and Julian Sequeira.

It serves as a medium for the two of them to document the lessons and concepts they learn as they delve into the wonderful world of Python. It's their hope that they'll be able to help other Python users along the way too!
</li><li><a title="PyBites Code Challenges | Hone Your Python Skills" rel="nofollow" href="https://codechalleng.es/">PyBites Code Challenges | Hone Your Python Skills
</a> &mdash; Learn Python From the Comfort of Your Own Browser
</li><li><a title="#100DaysOfCode Official Website | #100DaysOfCode" rel="nofollow" href="https://www.100daysofcode.com/">100DaysOfCode Official Website | #100DaysOfCode
</a></li><li><a title="pandas · PyPI" rel="nofollow" href="https://pypi.org/project/pandas/">pandas · PyPI
</a> &mdash; pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with structured (tabular, multidimensional, potentially heterogeneous) and time series data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python. Additionally, it has the broader goal of becoming the most powerful and flexible open source data analysis / manipulation tool available in any language. It is already well on its way toward this goal.
</li><li><a title="Episode #140 Level up your Python with #100DaysOfCode challenge - [Talk Python To Me Podcast]" rel="nofollow" href="https://talkpython.fm/episodes/show/140/level-up-your-python-with-100daysofcode-challenge">Episode #140 Level up your Python with #100DaysOfCode challenge - [Talk Python To Me Podcast]
</a> &mdash; How do you learn libraries or parts of Python itself that you don't have actual work projects involving them? Whether that's SQLAlchemy, Slack bots, or map APIs, actually building projects (small and large) with them is really the only way to gain true competency. 

You might try a 100 days of Python code challenges. 

This week you'll meet Bob Belderbos and Julian Sequeira who created PyBites. The have done a few 100 days of code challenges and are here to share their experience and some concrete examples. 
</li><li><a title="pytest · PyPI" rel="nofollow" href="https://pypi.org/project/pytest/">pytest · PyPI
</a> &mdash; The pytest framework makes it easy to write small tests, yet scales to support complex functional testing for applications and libraries.
</li><li><a title="requests · PyPI" rel="nofollow" href="https://pypi.org/project/requests/">requests · PyPI
</a></li><li><a title="Flask · PyPI" rel="nofollow" href="https://pypi.org/project/Flask/">Flask · PyPI
</a></li><li><a title="Teaching AI: Exploring New Frontiers for Learning: Michelle Zimmerman: 9781564847058: Amazon.com: Books" rel="nofollow" href="https://www.amazon.com/dp/1564847055/ref=nosim?tag=teachingpython-20">Teaching AI: Exploring New Frontiers for Learning: Michelle Zimmerman: 9781564847058: Amazon.com: Books
</a> &mdash; Kelly's reading this book about machine learning and AI right now.
</li></ul>]]>
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