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    <title>Teaching Python - Episodes Tagged with “Careers”</title>
    <link>https://www.teachingpython.fm/tags/careers</link>
    <pubDate>Wed, 20 Apr 2022 00:00:00 -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>
    <itunes:owner>
      <itunes:name>Sean Tibor and Kelly Paredes</itunes:name>
      <itunes:email>sean.tibor@gmail.com</itunes:email>
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<item>
  <title>Episode 89: FinTech Careers</title>
  <link>https://www.teachingpython.fm/89</link>
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  <pubDate>Wed, 20 Apr 2022 00:00:00 -0400</pubDate>
  <author>Sean Tibor and Kelly Paredes</author>
  <enclosure url="https://aphid.fireside.fm/d/1437767933/c8ea6bdf-0c80-46e7-a00a-639d7dc2be91/974a9342-d894-4160-b8a1-0336d56fc57e.mp3" length="56099563" type="audio/mpeg"/>
  <itunes:episode>89</itunes:episode>
  <itunes:title>FinTech Careers</itunes:title>
  <itunes:episodeType>full</itunes:episodeType>
  <itunes:author>Sean Tibor and Kelly Paredes</itunes:author>
  <itunes:subtitle>We welcome Xavier De Pauw Founder &amp; co-CEO of lendX, a B2B fintech that is looking to revolutionize the alternative credit sector with its SaaS Enabled Marketplace.</itunes:subtitle>
  <itunes:duration>46:44</itunes:duration>
  <itunes:explicit>no</itunes:explicit>
  <itunes:image href="https://cdn.fireside.fm/file/fireside-images-2024/podcasts/images/c/c8ea6bdf-0c80-46e7-a00a-639d7dc2be91/episodes/9/974a9342-d894-4160-b8a1-0336d56fc57e/cover.jpg?v=1"/>
  <description>&lt;p&gt;In the 2007 film, Shift Happens, Carl Fisch (later modified by Scott Mcleod) stated that  “The top 10 in-demand jobs in 2010 did not exist in 2004. We are currently preparing students for jobs that don’t exist yet, using technologies that haven’t been invented, in order to solve problems we don’t even know are problems yet.”  &lt;/p&gt;

&lt;p&gt;Although the 65% figure has been debunked quite often and the data that was used during the video cannot always be verified, it is safe to say that the jobs of today, have evolved quite a bit since 2004.  In addition, a lot of these fields are Global, rely a lot on technology and the use of code, like Python. In this podcast series, we will speak to professionals in the field that have jobs in industries including Fintech 3.0, Cybertechnology, Ethical AI, and Data Science&lt;/p&gt;

&lt;p&gt;We welcome Xavier De Pauw Founder &amp;amp; co-CEO of lendX, a B2B fintech that is looking to revolutionize the alternative credit sector with its SaaS Enabled Marketplace.&lt;/p&gt;

&lt;p&gt;Xavier started his career at Merrill Lynch in London as a Fixed income capital markets &amp;amp; structured finance banker. After 10 years, he co-founded a challenger banking group and was CEO of the digital challenger bank in the group.  Again 10 years later, Xavier joined a €75bln private bank and asset manager as their head of strategic innovation. In 2020, Xavier went back to entrepreneurship, became a member of the advisory board at several fintechs and launched lendX with two other founders.&lt;/p&gt;&lt;p&gt;Special Guest: Xavier De Pauw.&lt;/p&gt;</description>
  <itunes:keywords>finance,fintech,python,lendx</itunes:keywords>
  <content:encoded>
    <![CDATA[<p>In the 2007 film, Shift Happens, Carl Fisch (later modified by Scott Mcleod) stated that  “The top 10 in-demand jobs in 2010 did not exist in 2004. We are currently preparing students for jobs that don’t exist yet, using technologies that haven’t been invented, in order to solve problems we don’t even know are problems yet.”  </p>

<p>Although the 65% figure has been debunked quite often and the data that was used during the video cannot always be verified, it is safe to say that the jobs of today, have evolved quite a bit since 2004.  In addition, a lot of these fields are Global, rely a lot on technology and the use of code, like Python. In this podcast series, we will speak to professionals in the field that have jobs in industries including Fintech 3.0, Cybertechnology, Ethical AI, and Data Science</p>

<p>We welcome Xavier De Pauw Founder &amp; co-CEO of lendX, a B2B fintech that is looking to revolutionize the alternative credit sector with its SaaS Enabled Marketplace.</p>

<p>Xavier started his career at Merrill Lynch in London as a Fixed income capital markets &amp; structured finance banker. After 10 years, he co-founded a challenger banking group and was CEO of the digital challenger bank in the group.  Again 10 years later, Xavier joined a €75bln private bank and asset manager as their head of strategic innovation. In 2020, Xavier went back to entrepreneurship, became a member of the advisory board at several fintechs and launched lendX with two other founders.</p><p>Special Guest: Xavier De Pauw.</p><p><a rel="payment" href="https://www.patreon.com/teachingpython">Support Teaching Python</a></p><p>Links:</p><ul><li><a title="LendX is now Kennek!" rel="nofollow" href="https://www.kennek.io/">LendX is now Kennek!
</a></li><li><a title="PyBites Platform | Real World Python Exercises" rel="nofollow" href="https://codechalleng.es/bites/paths/fastapi">PyBites Platform | Real World Python Exercises
</a> &mdash; In this learning path you will write a simple API to track food / calories using the awesome FastAPI framework. This takes you from complete beginner to building your first CRUD (create-read-update-delete) API. The SQLModel learning path will be more advanced adding a database with multiple tables.&nbsp;
</li><li><a title="SaaS cloud banking platform | Mambu" rel="nofollow" href="https://www.mambu.com/">SaaS cloud banking platform | Mambu
</a> &mdash; Join the trailblazers changing banking.
The best financial brands in the world are powered by Mambu's cloud banking platform.
</li><li><a title="Modulr - the digital standard for business payments." rel="nofollow" href="https://www.modulrfinance.com/">Modulr - the digital standard for business payments.
</a> &mdash; Business payments are clunky&nbsp;− costing you time, resources and customers. We provide an API payments infrastructure so you can efficiently automate and embed payments. Unlocking operational efficiency and revenue drivers.&nbsp;
</li><li><a title="Intelligent accounting integrations &amp; solutions | Validis" rel="nofollow" href="https://www.validis.com/">Intelligent accounting integrations &amp; solutions | Validis
</a> &mdash; The world's most intelligent
accounting integrations
Instantly access and interpret up-to-date financials
for your business customers
</li></ul>]]>
  </content:encoded>
  <itunes:summary>
    <![CDATA[<p>In the 2007 film, Shift Happens, Carl Fisch (later modified by Scott Mcleod) stated that  “The top 10 in-demand jobs in 2010 did not exist in 2004. We are currently preparing students for jobs that don’t exist yet, using technologies that haven’t been invented, in order to solve problems we don’t even know are problems yet.”  </p>

<p>Although the 65% figure has been debunked quite often and the data that was used during the video cannot always be verified, it is safe to say that the jobs of today, have evolved quite a bit since 2004.  In addition, a lot of these fields are Global, rely a lot on technology and the use of code, like Python. In this podcast series, we will speak to professionals in the field that have jobs in industries including Fintech 3.0, Cybertechnology, Ethical AI, and Data Science</p>

<p>We welcome Xavier De Pauw Founder &amp; co-CEO of lendX, a B2B fintech that is looking to revolutionize the alternative credit sector with its SaaS Enabled Marketplace.</p>

<p>Xavier started his career at Merrill Lynch in London as a Fixed income capital markets &amp; structured finance banker. After 10 years, he co-founded a challenger banking group and was CEO of the digital challenger bank in the group.  Again 10 years later, Xavier joined a €75bln private bank and asset manager as their head of strategic innovation. In 2020, Xavier went back to entrepreneurship, became a member of the advisory board at several fintechs and launched lendX with two other founders.</p><p>Special Guest: Xavier De Pauw.</p><p><a rel="payment" href="https://www.patreon.com/teachingpython">Support Teaching Python</a></p><p>Links:</p><ul><li><a title="LendX is now Kennek!" rel="nofollow" href="https://www.kennek.io/">LendX is now Kennek!
</a></li><li><a title="PyBites Platform | Real World Python Exercises" rel="nofollow" href="https://codechalleng.es/bites/paths/fastapi">PyBites Platform | Real World Python Exercises
</a> &mdash; In this learning path you will write a simple API to track food / calories using the awesome FastAPI framework. This takes you from complete beginner to building your first CRUD (create-read-update-delete) API. The SQLModel learning path will be more advanced adding a database with multiple tables.&nbsp;
</li><li><a title="SaaS cloud banking platform | Mambu" rel="nofollow" href="https://www.mambu.com/">SaaS cloud banking platform | Mambu
</a> &mdash; Join the trailblazers changing banking.
The best financial brands in the world are powered by Mambu's cloud banking platform.
</li><li><a title="Modulr - the digital standard for business payments." rel="nofollow" href="https://www.modulrfinance.com/">Modulr - the digital standard for business payments.
</a> &mdash; Business payments are clunky&nbsp;− costing you time, resources and customers. We provide an API payments infrastructure so you can efficiently automate and embed payments. Unlocking operational efficiency and revenue drivers.&nbsp;
</li><li><a title="Intelligent accounting integrations &amp; solutions | Validis" rel="nofollow" href="https://www.validis.com/">Intelligent accounting integrations &amp; solutions | Validis
</a> &mdash; The world's most intelligent
accounting integrations
Instantly access and interpret up-to-date financials
for your business customers
</li></ul>]]>
  </itunes:summary>
</item>
<item>
  <title>Episode 88: Data Science Careers</title>
  <link>https://www.teachingpython.fm/88</link>
  <guid isPermaLink="false">2bb14ba9-719d-4c53-9cd3-702b9aa9caa1</guid>
  <pubDate>Tue, 05 Apr 2022 00:00:00 -0400</pubDate>
  <author>Sean Tibor and Kelly Paredes</author>
  <enclosure url="https://aphid.fireside.fm/d/1437767933/c8ea6bdf-0c80-46e7-a00a-639d7dc2be91/2bb14ba9-719d-4c53-9cd3-702b9aa9caa1.mp3" length="57782580" type="audio/mpeg"/>
  <itunes:episode>88</itunes:episode>
  <itunes:title>Data Science Careers</itunes:title>
  <itunes:episodeType>full</itunes:episodeType>
  <itunes:author>Sean Tibor and Kelly Paredes</itunes:author>
  <itunes:subtitle>We welcome Michael Galarnyk. Michael currently teaches Python for Data Visualization for LinkedIn Learning, Data Analytics using Python for UCSD Extension, Machine Learning Fundamentals for UCSD Extension, and Machine Learning with Python for Stanford Continuing Studies. He has previously taught Essential Python for Global Knowledge and Data Science (Python) at General Assembly.</itunes:subtitle>
  <itunes:duration>48:09</itunes:duration>
  <itunes:explicit>no</itunes:explicit>
  <itunes:image href="https://cdn.fireside.fm/file/fireside-images-2024/podcasts/images/c/c8ea6bdf-0c80-46e7-a00a-639d7dc2be91/episodes/2/2bb14ba9-719d-4c53-9cd3-702b9aa9caa1/cover.jpg?v=1"/>
  <description>&lt;p&gt;In the 2007 film, Shift Happens, Carl Fisch (later modified by Scott Mcleod) stated that  “The top 10 in-demand jobs in 2010 did not exist in 2004. We are currently preparing students for jobs that don’t exist yet, using technologies that haven’t been invented, in order to solve problems we don’t even know are problems yet.”  &lt;/p&gt;

&lt;p&gt;Although the 65% figure has been debunked quite often and the data that was used during the video cannot always be verified, it is safe to say that the jobs of today, have evolved quite a bit since 2004.  In addition, a lot of these fields are Global, rely a lot on technology and the use of code, like Python. In this podcast series, we will speak to professionals in the field that have jobs in industries including Fintech 3.0, Cybertechnology, Ethical AI, and Data Science&lt;/p&gt;

&lt;p&gt;We welcome Michael Galarnyk. Michael currently teaches Python for Data Visualization for LinkedIn Learning, Data Analytics using Python for UCSD Extension, Machine Learning Fundamentals for UCSD Extension, and Machine Learning with Python for Stanford Continuing Studies. I have previously taught Essential Python for Global Knowledge and Data Science (Python) at General Assembly.&lt;/p&gt;&lt;p&gt;Special Guest: Michael Galarnyk.&lt;/p&gt;</description>
  <itunes:keywords>python,data science,teaching,careers</itunes:keywords>
  <content:encoded>
    <![CDATA[<p>In the 2007 film, Shift Happens, Carl Fisch (later modified by Scott Mcleod) stated that  “The top 10 in-demand jobs in 2010 did not exist in 2004. We are currently preparing students for jobs that don’t exist yet, using technologies that haven’t been invented, in order to solve problems we don’t even know are problems yet.”  </p>

<p>Although the 65% figure has been debunked quite often and the data that was used during the video cannot always be verified, it is safe to say that the jobs of today, have evolved quite a bit since 2004.  In addition, a lot of these fields are Global, rely a lot on technology and the use of code, like Python. In this podcast series, we will speak to professionals in the field that have jobs in industries including Fintech 3.0, Cybertechnology, Ethical AI, and Data Science</p>

<p>We welcome Michael Galarnyk. Michael currently teaches Python for Data Visualization for LinkedIn Learning, Data Analytics using Python for UCSD Extension, Machine Learning Fundamentals for UCSD Extension, and Machine Learning with Python for Stanford Continuing Studies. I have previously taught Essential Python for Global Knowledge and Data Science (Python) at General Assembly.</p><p>Special Guest: Michael Galarnyk.</p><p><a rel="payment" href="https://www.patreon.com/teachingpython">Support Teaching Python</a></p><p>Links:</p><ul><li><a title="Python for Data Visualization" rel="nofollow" href="https://www.linkedin.com/learning/python-for-data-visualization">Python for Data Visualization
</a> &mdash; Data visualization is incredibly important for data scientists, as it helps them communicate their insights to nontechnical peers. But you don’t need to be a design pro. Python is a popular, easy-to-use programming language that offers a number of libraries specifically built for data visualization.
</li><li><a title="Data Analytics Using Python | UC San Diego Extension" rel="nofollow" href="https://extension.ucsd.edu/courses-and-programs/data-analytics-using-python">Data Analytics Using Python | UC San Diego Extension
</a> &mdash; In this course, you will learn the rich set of tools, libraries, and packages that comprise the highly popular and practical Python data analysis ecosystem. This course is primarily taught via screen sharing programming videos. Topics taught range from basic Python syntax all the way to more advanced topics like supervised and unsupervised machine learning techniques.
</li><li><a title="Machine Learning Fundamentals | UC San Diego Extension" rel="nofollow" href="https://extension.ucsd.edu/courses-and-programs/machine-learning-fundamentals">Machine Learning Fundamentals | UC San Diego Extension
</a> &mdash; Utilizing machine learning to apply algorithms to their data has helped companies maximize efficiencies, pursue new markets, and create new products. This trend has prompted many industries to recognize the value of machine learning, creating a high demand for knowledge in this field. Understanding the theory of how machine learning algorithms work is not only important skill for being able to apply and debug code, but also an important skill for interviewing.
</li><li><a title="How Charts Lie: Getting Smarter about Visual Information: Cairo, Alberto: 9780393358421: Amazon.com: Books" rel="nofollow" href="https://www.amazon.com/dp/0393358429/ref=nosim?tag=teachingpython-20">How Charts Lie: Getting Smarter about Visual Information: Cairo, Alberto: 9780393358421: Amazon.com: Books
</a> &mdash; A leading data visualization expert explores the negative―and positive―influences that charts have on our perception of truth.

Today, public conversations are increasingly driven by numbers. While charts, infographics, and diagrams can make us smarter, they can also deceive―intentionally or unintentionally. 
</li><li><a title="Dogsheep" rel="nofollow" href="https://github.com/dogsheep">Dogsheep
</a> &mdash; Tools for personal analytics, powered by Datasette
</li><li><a title="PyCon 2022" rel="nofollow" href="https://us.pycon.org/2022/schedule/presentation/42/">PyCon 2022
</a> &mdash; Sean &amp; Kelly's PyCon talk: Learn Python Like a 12-year-old
</li></ul>]]>
  </content:encoded>
  <itunes:summary>
    <![CDATA[<p>In the 2007 film, Shift Happens, Carl Fisch (later modified by Scott Mcleod) stated that  “The top 10 in-demand jobs in 2010 did not exist in 2004. We are currently preparing students for jobs that don’t exist yet, using technologies that haven’t been invented, in order to solve problems we don’t even know are problems yet.”  </p>

<p>Although the 65% figure has been debunked quite often and the data that was used during the video cannot always be verified, it is safe to say that the jobs of today, have evolved quite a bit since 2004.  In addition, a lot of these fields are Global, rely a lot on technology and the use of code, like Python. In this podcast series, we will speak to professionals in the field that have jobs in industries including Fintech 3.0, Cybertechnology, Ethical AI, and Data Science</p>

<p>We welcome Michael Galarnyk. Michael currently teaches Python for Data Visualization for LinkedIn Learning, Data Analytics using Python for UCSD Extension, Machine Learning Fundamentals for UCSD Extension, and Machine Learning with Python for Stanford Continuing Studies. I have previously taught Essential Python for Global Knowledge and Data Science (Python) at General Assembly.</p><p>Special Guest: Michael Galarnyk.</p><p><a rel="payment" href="https://www.patreon.com/teachingpython">Support Teaching Python</a></p><p>Links:</p><ul><li><a title="Python for Data Visualization" rel="nofollow" href="https://www.linkedin.com/learning/python-for-data-visualization">Python for Data Visualization
</a> &mdash; Data visualization is incredibly important for data scientists, as it helps them communicate their insights to nontechnical peers. But you don’t need to be a design pro. Python is a popular, easy-to-use programming language that offers a number of libraries specifically built for data visualization.
</li><li><a title="Data Analytics Using Python | UC San Diego Extension" rel="nofollow" href="https://extension.ucsd.edu/courses-and-programs/data-analytics-using-python">Data Analytics Using Python | UC San Diego Extension
</a> &mdash; In this course, you will learn the rich set of tools, libraries, and packages that comprise the highly popular and practical Python data analysis ecosystem. This course is primarily taught via screen sharing programming videos. Topics taught range from basic Python syntax all the way to more advanced topics like supervised and unsupervised machine learning techniques.
</li><li><a title="Machine Learning Fundamentals | UC San Diego Extension" rel="nofollow" href="https://extension.ucsd.edu/courses-and-programs/machine-learning-fundamentals">Machine Learning Fundamentals | UC San Diego Extension
</a> &mdash; Utilizing machine learning to apply algorithms to their data has helped companies maximize efficiencies, pursue new markets, and create new products. This trend has prompted many industries to recognize the value of machine learning, creating a high demand for knowledge in this field. Understanding the theory of how machine learning algorithms work is not only important skill for being able to apply and debug code, but also an important skill for interviewing.
</li><li><a title="How Charts Lie: Getting Smarter about Visual Information: Cairo, Alberto: 9780393358421: Amazon.com: Books" rel="nofollow" href="https://www.amazon.com/dp/0393358429/ref=nosim?tag=teachingpython-20">How Charts Lie: Getting Smarter about Visual Information: Cairo, Alberto: 9780393358421: Amazon.com: Books
</a> &mdash; A leading data visualization expert explores the negative―and positive―influences that charts have on our perception of truth.

Today, public conversations are increasingly driven by numbers. While charts, infographics, and diagrams can make us smarter, they can also deceive―intentionally or unintentionally. 
</li><li><a title="Dogsheep" rel="nofollow" href="https://github.com/dogsheep">Dogsheep
</a> &mdash; Tools for personal analytics, powered by Datasette
</li><li><a title="PyCon 2022" rel="nofollow" href="https://us.pycon.org/2022/schedule/presentation/42/">PyCon 2022
</a> &mdash; Sean &amp; Kelly's PyCon talk: Learn Python Like a 12-year-old
</li></ul>]]>
  </itunes:summary>
</item>
<item>
  <title>Episode 87: Cybersecurity Careers</title>
  <link>https://www.teachingpython.fm/87</link>
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  <pubDate>Wed, 23 Mar 2022 00:00:00 -0400</pubDate>
  <author>Sean Tibor and Kelly Paredes</author>
  <enclosure url="https://aphid.fireside.fm/d/1437767933/c8ea6bdf-0c80-46e7-a00a-639d7dc2be91/57ffec6c-74d8-49bc-bcb4-bcee74f3cd51.mp3" length="40922747" type="audio/mpeg"/>
  <itunes:episode>87</itunes:episode>
  <itunes:title>Cybersecurity Careers</itunes:title>
  <itunes:episodeType>full</itunes:episodeType>
  <itunes:author>Sean Tibor and Kelly Paredes</itunes:author>
  <itunes:subtitle></itunes:subtitle>
  <itunes:duration>42:37</itunes:duration>
  <itunes:explicit>no</itunes:explicit>
  <itunes:image href="https://cdn.fireside.fm/file/fireside-images-2024/podcasts/images/c/c8ea6bdf-0c80-46e7-a00a-639d7dc2be91/episodes/5/57ffec6c-74d8-49bc-bcb4-bcee74f3cd51/cover.jpg?v=1"/>
  <description>&lt;p&gt;In the 2007 film, Shift Happens, Carl Fisch stated that  “The top 10 in-demand jobs in 2010 did not exist in 2004. We are currently preparing students for jobs that don’t exist yet, using technologies that haven’t been invented, in order to solve problems we don’t even know are problems yet.”  &lt;/p&gt;

&lt;p&gt;While the data that was used during the video cannot be completely verifiable, it is safe to say that the jobs of today have evolved quite a bit since 2004.  In addition, a lot of these fields are global, rely heavily on technology and the use of code skills like Python programming. In this podcast series, we will speak to professionals in the field that have jobs in industries including Fintech 3.0, Cybertechnology, and Data Science.&lt;/p&gt;

&lt;p&gt;We welcome Michele Darayanani, Nevena Lazarevic and Joe Farajallah to discuss the basics of Cybersecurity, what it is, what all does it involve, and how Python can be used to secure platforms from cyber attacks. &lt;/p&gt;

&lt;p&gt;Michele leads the Cyber offerings for Pharmaceutical, Life Sciences, and Medical Device Manufacturing clients. An avid advocate for usable security that drives business value through Cyber; he supports clients as a sounding board for the CISO, CISO coaching, Secure Cloud Transformations, Cyber Due Diligence, and Security Architecture.&lt;/p&gt;

&lt;p&gt;Nevena is a passionate and proactive Cyber Security consultant with a Software Engineering background. Her focus within this area has been Cyber Defense, Security Transformation and Information Security. &lt;/p&gt;

&lt;p&gt;Joe is a Cyber Security consultant focusing on ethical hacking and red team testing. He has a background in electrical engineering and networks.&lt;/p&gt;&lt;p&gt;Special Guests: Joe Farajallah, Michele Daryanani, and Nevena Lazarevic.&lt;/p&gt;</description>
  <itunes:keywords>python,cybersecurity,careers</itunes:keywords>
  <content:encoded>
    <![CDATA[<p>In the 2007 film, Shift Happens, Carl Fisch stated that  “The top 10 in-demand jobs in 2010 did not exist in 2004. We are currently preparing students for jobs that don’t exist yet, using technologies that haven’t been invented, in order to solve problems we don’t even know are problems yet.”  </p>

<p>While the data that was used during the video cannot be completely verifiable, it is safe to say that the jobs of today have evolved quite a bit since 2004.  In addition, a lot of these fields are global, rely heavily on technology and the use of code skills like Python programming. In this podcast series, we will speak to professionals in the field that have jobs in industries including Fintech 3.0, Cybertechnology, and Data Science.</p>

<p>We welcome Michele Darayanani, Nevena Lazarevic and Joe Farajallah to discuss the basics of Cybersecurity, what it is, what all does it involve, and how Python can be used to secure platforms from cyber attacks. </p>

<p>Michele leads the Cyber offerings for Pharmaceutical, Life Sciences, and Medical Device Manufacturing clients. An avid advocate for usable security that drives business value through Cyber; he supports clients as a sounding board for the CISO, CISO coaching, Secure Cloud Transformations, Cyber Due Diligence, and Security Architecture.</p>

<p>Nevena is a passionate and proactive Cyber Security consultant with a Software Engineering background. Her focus within this area has been Cyber Defense, Security Transformation and Information Security. </p>

<p>Joe is a Cyber Security consultant focusing on ethical hacking and red team testing. He has a background in electrical engineering and networks.</p><p>Special Guests: Joe Farajallah, Michele Daryanani, and Nevena Lazarevic.</p><p><a rel="payment" href="https://www.patreon.com/teachingpython">Support Teaching Python</a></p><p>Links:</p><ul><li><a title="Jobs - KPMG Switzerland" rel="nofollow" href="https://home.kpmg/ch/en/home/careers/job-search.html?&amp;text=cyber&amp;filter=90:1085741">Jobs - KPMG Switzerland
</a> &mdash; KPMG offers you excellent career prospects and a great corporate culture. We employ over 2100 talented people from 55 countries. Find out who we are, what we do, what we find important and what day-to-day work at KPMG is really like. We are seeking people who have a “dare to do” attitude, for our company prospers with the help of courageous people. Choose your level of experience and take a look at our job vacancies.
</li><li><a title="python-ldap · PyPI" rel="nofollow" href="https://pypi.org/project/python-ldap/">python-ldap · PyPI
</a> &mdash; python-ldap provides an object-oriented API to access LDAP directory servers from Python programs. Mainly it wraps the OpenLDAP 2.x libs for that purpose. Additionally the package contains modules for other LDAP-related stuff (e.g. processing LDIF, LDAPURLs, LDAPv3 schema, LDAPv3 extended operations and controls, etc.).
</li></ul>]]>
  </content:encoded>
  <itunes:summary>
    <![CDATA[<p>In the 2007 film, Shift Happens, Carl Fisch stated that  “The top 10 in-demand jobs in 2010 did not exist in 2004. We are currently preparing students for jobs that don’t exist yet, using technologies that haven’t been invented, in order to solve problems we don’t even know are problems yet.”  </p>

<p>While the data that was used during the video cannot be completely verifiable, it is safe to say that the jobs of today have evolved quite a bit since 2004.  In addition, a lot of these fields are global, rely heavily on technology and the use of code skills like Python programming. In this podcast series, we will speak to professionals in the field that have jobs in industries including Fintech 3.0, Cybertechnology, and Data Science.</p>

<p>We welcome Michele Darayanani, Nevena Lazarevic and Joe Farajallah to discuss the basics of Cybersecurity, what it is, what all does it involve, and how Python can be used to secure platforms from cyber attacks. </p>

<p>Michele leads the Cyber offerings for Pharmaceutical, Life Sciences, and Medical Device Manufacturing clients. An avid advocate for usable security that drives business value through Cyber; he supports clients as a sounding board for the CISO, CISO coaching, Secure Cloud Transformations, Cyber Due Diligence, and Security Architecture.</p>

<p>Nevena is a passionate and proactive Cyber Security consultant with a Software Engineering background. Her focus within this area has been Cyber Defense, Security Transformation and Information Security. </p>

<p>Joe is a Cyber Security consultant focusing on ethical hacking and red team testing. He has a background in electrical engineering and networks.</p><p>Special Guests: Joe Farajallah, Michele Daryanani, and Nevena Lazarevic.</p><p><a rel="payment" href="https://www.patreon.com/teachingpython">Support Teaching Python</a></p><p>Links:</p><ul><li><a title="Jobs - KPMG Switzerland" rel="nofollow" href="https://home.kpmg/ch/en/home/careers/job-search.html?&amp;text=cyber&amp;filter=90:1085741">Jobs - KPMG Switzerland
</a> &mdash; KPMG offers you excellent career prospects and a great corporate culture. We employ over 2100 talented people from 55 countries. Find out who we are, what we do, what we find important and what day-to-day work at KPMG is really like. We are seeking people who have a “dare to do” attitude, for our company prospers with the help of courageous people. Choose your level of experience and take a look at our job vacancies.
</li><li><a title="python-ldap · PyPI" rel="nofollow" href="https://pypi.org/project/python-ldap/">python-ldap · PyPI
</a> &mdash; python-ldap provides an object-oriented API to access LDAP directory servers from Python programs. Mainly it wraps the OpenLDAP 2.x libs for that purpose. Additionally the package contains modules for other LDAP-related stuff (e.g. processing LDIF, LDAPURLs, LDAPv3 schema, LDAPv3 extended operations and controls, etc.).
</li></ul>]]>
  </itunes:summary>
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