Talk Python to Me is a weekly podcast hosted by Michael Kennedy. The show covers a wide array of Python topics as well as many related topics. Our goal is to bring you the human story behind the Python packages and frameworks you know and love.
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Best Michael Kennedy Mkennedy podcasts we could find (updated June 2020)
Best Michael Kennedy Mkennedy podcasts we could find
Updated June 2020
Updated June 2020
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#266 Refactoring your code, like magic with Sourcery
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Refactoring your code is a fundamental step on the path to professional and maintainable software. We rarely have the perfect picture of what we need to build when we start writing code and attempts to over plan and overdesign software often lead to analysis paralysis rather than ideal outcomes. Join me as I discuss refactoring with Brendan Maginni…
The debate about whether Python is fast or slow is never-ending. It depends on what you're optimizing for: Server CPU consumption? Developer time? Maintainability? There are many factors. But if we keep our eye on pure computational speed in the Python layer, then yes, Python is slow. In this episode, we invite Anthony Shaw back on the show. He's h…
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#264 10 tips every Flask developer should know
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Are you a web developer who uses Flask? It has become the most popular Python web framework. Even if you have used it for years, I bet we cover at least one thing that will surprise you and make your Flask code better. Join me as I speak with Miguel Grinberg about his top 10 list for tips and tricks in the Flask world. They're great! The 10 tips No…
As developers and technologists, it's easy to think that powerful and unique ideas will percolate to the top. If we build something amazing, enthusiastic users will find and share our creations. Sometimes this happens. But more often, success is an iceberg, on so many levels. We are going to look at one of those icebergs on this episode. Join me an…
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#262 Build a career in data science
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Has anyone told you that you should get into data science? Have you heard it's a great career? In fact, data scientist is the best job in America according to Glassdoor's 2018 rankings. That's great. But how do you get a career in data science? Once you land that first job, how do you find the right fit? How do you find the right company? And how d…
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#261 Monitoring and auditing machine learning
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Traditionally, when we have depended upon software to make a decision with real-world implications, that software was deterministic. It had some inputs, a few if statements, and we could point to the exact line of code where the decision was made. And the same inputs lead to the same decisions. Nowadays, with the rise of machine learning and neural…
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#260 From basic script to interactive data sci app with Streamlit
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If you work on the data science or data visualization side of Python, you may have come to it from a scripting side of things. Writing just a little Python, using its magical libraries, with little structure or formalism to build a powerful analysis tool that runs in the terminal or maybe a jupyter notebook. What if you could take that same code, s…
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#259 From Academia to Tech Industry and Python
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Did you come to Python from the academic side of the world? Maybe got into working with code for research or lab work and found you liked coding more than your first field of study. Whatever the reason, many people make the transition from the academic world over to tech and industry. On this episode, you'll meet three women who have made this tran…
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#258 Thriving in a remote developer environment
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If you are listening to this episode when it came out, April 4th, 2020, there's a good chance you are listening at home, or on a walk. But it's probably not while commuting to an office as much of the world is practicing social distancing and working from home. Maybe this is a new experience, brought upon quickly by the global lockdowns, or maybe i…
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#257 Exploring the galaxy with the fastest supercomputer, Python, and radio astronomy
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With radio astronomy, we can look across many light-years of distance and see incredible details such as the chemical makeup of a given region. Kevin Vinsen and Rodrigo Tobar from ICRAR are using the world's fastest supercomputer along with some sweet Python to process the equivalent of 1,600 hours of standard-definition YouTube video per second. L…
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#256 Click to run your notebook with Binder
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Have you come across a GitHub repo with a Jupyter notebook that has a "Run in Binder" button? It seems magical. How does it know what dependencies and external libraries you might need? Where does it run anyway? Like all technology, it's not magic. It's the result of hard work by the people behind mybinder.org. On this episode, you'll meet Tim Head…
Modern cars have become mobile computer systems with many small computers running millions of lines of code. On this episode, we plug a little Python into those data streams. You'll meet Shea Newton, who is a Python developer who has worked on autonomous cars and is currently at ActiveState. Links from the show Shea on Twitter: shnewto Video presen…
How do you go from poking around at Python code to actually solving real problems, the right way? There are many paths. The longest one probably is to get a 4-year CS degree. Maybe faster, but pricy as well, is a solid in-person developer bootcamp. Have you considered reaching out to the community to find a mentor? Many Python meetups have project …
This episode is a unique one. On this episode, I've invited Richard Campbell and developer and podcaster who also dives deep into science and tech topics. We are going to dig into his geekout series and spend some time talking realistically about moonbases and space travel. I think you're really going to enjoy the conversation. But I would love to …
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#252 What scientific computing can learn from CS
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Did you come into Python from a computational science side of things? Were you just looking for something better than Excel or Matlab and got pulled in by all the Python has to offer? That's great! But following that path often means some of the more formal practices from software development weren't part of the journey. On this episode, you'll mee…
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#251 Building and UX Testing Azure's Python SDK
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What does it take to build a Python library that will be used by a large number of developers? This happens all the in open source. Projects take off and become wildly successful. What if you could sit down with developers using your library and see how they take to it? Well, over on the Azure team, Kate Olszewska and Johan Stenberg do incredible u…
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#250 Capture over 400x C02 as trees with AI and Python
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As the popularity of Python grows, we see it popping up in all sorts of interesting places and projects. On this episode, you'll meet C.K. Sample and Nathan Papapietro from HyperGiant. They are using Python and AI to develop the EOS Bioreactor. This is a fridge sized box containing water and algae which sequesters a huge amount of C02, as much as 4…
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#249 Capture the Staff of Pythonic Knowledge in TwilioQuest
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Are you learning or helping someone else learn Python, why not make a game out of it? TwilioQuest is a game that doesn't treat you with kid-gloves while teaching you Python. Using your editor of choice, write code on your machine, and still play the game to solve Python challenges. In this episode, you'll meet Kevin Whinnery and Ryan Kubik from Twi…
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#248 Climate change and your Python code
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The most critical issue of our time is climate change. Yet, when you think about our carbon impact in the software industry, what comes to mind? Business travel? Commuting to the office so you don't miss filing that TPS report? Yeah, those are bad. But data centers, servers, and our apps consume a substantial portion of the total energy used by mod…
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#247 Solo maintainer of open-source in academia
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Do you run an open-source project? Does it seem like you never have enough time to support it? Have you considered starting one but are unsure you can commit to it? It's a real challenge. On this episode, we welcome back Philip Guo, who has been a solo maintainer of the very popular PythonTutor.com project for over 10 years. He has some non-traditi…
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#246 Practices of the Python Pro
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When you can call yourself a professional developer? Sure, getting paid to write code is probably part of the formula. But when is your skillset up to that level? Many folks in the industry suffer from imposter syndrome and other types of uncertainty. Yet, there are real techniques and skills you should know before you meet this bar. Dane Hillard i…
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#245 Python packaging landscape in 2020
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Python is growing incredibly quickly and has found its place in many facets of the developer and computational space. But one area that is still shaky and uncertain is packaging and shipping software to users. I'm not talking about building reusable libraries and hosting them on PyPI. I'm talking about shipping executable software to non-developers…
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#244 Top 10 Real Python Articles of 2019
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We've come to the end of 2019. Python 2 has just a handful of days before it goes unsupported. And I've met up with Dan Bader from RealPython.com to look back at the year of Python articles on his website. We dive into the details behind 10 of his most important articles from the past year. Links from the show Dan Bader: @dbader_org The 10 Articles…
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#243 Python on Windows is OK, actually
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We all love the Python language. But it's the 200,000+ packages that actually make Python incredibly useful and productive. But installing these libraries and sometimes even Python itself can vary across platforms. In particular, Windows has had a hard time. Many of the library authors don't use Windows and so don't test their packages on that plat…
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#242 Your education will be live-streamed
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Online education has certainly gone mainstream. Developers and companies have finally gotten comfortable taking online courses. Sometimes these are recorded, self-paced courses like we have at Talk Python Training. Other times, they are more like live events in webcast format. In this episode, you'll meet two guys who are taking the interactivity o…
