The Real Python Podcast
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© 2020 Real Python
Description
A weekly Python podcast hosted by Christopher Bailey with interviews, coding tips, and conversation with guests from the Python community.
The show covers a wide range of topics including Python programming best practices, career tips, and related software development topics. Join us every Friday morning to hear what's new in the world of Python programming and become a more effective Pythonista.
The show covers a wide range of topics including Python programming best practices, career tips, and related software development topics. Join us every Friday morning to hear what's new in the world of Python programming and become a more effective Pythonista.
267 Episodes
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When converting an existing REST API to the Model Context Protocol, what should you consider? What anti-patterns should you avoid to keep an AI agent’s context clean? This week on the show, Kyle Stratis returns to discuss his upcoming book, "AI Agents with MCP".
What are your options for hosting your Python application or scripts? What are the advantages of a platform as a service, container-based hosts, or setting up a virtual machine? Christopher Trudeau is back on the show this week, bringing another batch of PyCoder's Weekly articles and projects.
What's happening with the latest releases of large language models? Is the industry hitting the edge of the scaling laws, and do the current benchmarks provide reliable performance assessments? This week on the show, Jodie Burchell returns to discuss the current state of LLM releases.
What is a good way to add isolated, reusable functionality to Python classes? Christopher Trudeau is back on the show this week, bringing another batch of PyCoder's Weekly articles and projects.
1What went into developing the open-source Python tools data scientists use every day? This week on the show, we talk with Travis Oliphant about his work on SciPy, NumPy, Numba, and many other contributions to the Python scientific community.
When considering an object-oriented programming problem, should you prefer inheritance or composition? Why wouldn't it just be simpler to use functions? Christopher Trudeau is back on the show this week, bringing another batch of PyCoder's Weekly articles and projects.
What are the advantages of using Polars for your Python data projects? When should you use the lazy or eager APIs, and what are the benefits of each? This week on the show, we speak with Jeroen Janssens and Thijs Nieuwdorp about their new book, _Python Polars: The Definitive Guide_.
Do the design patterns learned in other programming languages translate to coding in Python? Christopher Trudeau is back on the show this week, bringing another batch of PyCoder's Weekly articles and projects.
What goes into supporting more than 650,000 projects and nearly a million users of the Python Package Index? This week on the show, we speak with Maria Ashna about her first year as the inaugural PyPI Support Specialist.
How does the performance of an algorithm hold up when you put it into a realistic context? Where might Python code defy Big O notation expectations when using a profiler? Christopher Trudeau is back on the show this week, bringing another batch of PyCoder's Weekly articles and projects.
What motivates someone to learn how to code as a scientist? How do you harness the excitement of solving problems quickly and make the connection to the benefits of coding in your scientific work? This week on the show, we speak with Ben Lear and Christopher Johnson about their book "Coding For Chemists."
What goes into crafting an effective Python script? How do you organize your code, manage dependencies with PEP 723, and handle command-line arguments for the best results? Christopher Trudeau is back on the show this week, bringing another batch of PyCoder's Weekly articles and projects.
What goes into scaling a web application today? What are resources for learning and practicing DevOps skills? This week on the show, Calvin Hendryx-Parker is back to discuss the tools and infrastructure for autoscaling web applications with Kubernetes and Karpenter.
Looking for a guide on getting started with marimo notebooks? How do you build a reproducible notebook for sharing or create a dashboard with interactive UI elements? Christopher Trudeau is back on the show this week, bringing another batch of PyCoder's Weekly articles and projects.
Once you've learned the vocabulary and syntax of the Python language, how do you progress into learning the right combinations to put into your code? How can Python's built-in itertools library enhance your skills? This week on the show, we speak with Rodrigo Girão Serrão about teaching Python through his blog and his passion for the itertools library.
What are the ways you can manage multithreaded code in Python? What synchronization techniques are available within Python's threading module? Christopher Trudeau is back on the show this week, bringing another batch of PyCoder's Weekly articles and projects.
What goes into making video courses at Real Python? How should you build an installable Django application? Christopher Trudeau is back on the show this week, bringing another batch of PyCoder's Weekly articles and projects.
What is the best way to record the Python dependencies for the reproducibility of your projects? What advantages will lock files provide for those projects? This week on the show, we welcome back Python Core Developer Brett Cannon to discuss his journey to bring PEP 751 and the pylock.toml file format to the community.
Are you looking for some projects where you can practice your Python skills? Would you like to experiment with building a generative AI app or an automated knowledge graph sentiment analysis tool? This week on the show, we speak with Raymond Camden about his journey into Python, his work in developer relations, and the Python projects featured on his blog.
Are you looking for a fast database that can handle large datasets in Python? What's the difference between a Python expression and a statement? Christopher Trudeau is back on the show this week, bringing another batch of PyCoder's Weekly articles and projects.
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Hello! I'll give a quick tip for those who are testing the CoolUtils PDF combine on the site "https://www.coolutils.com/PDFCombine": save the merged file lists! This is a handy feature, especially when you're collecting documents from different folders, and it makes the process much smoother. Now this is the only program I use, it really simplifies my work!
In business, PDF files are used all the time, and if you don't find convenient tools for working with PDF files, then it will take a lot of time. Among the different options, I can recommend this site https://pdfflex.com/ , where you can immediately get all the tools for working with pdf for free. You can easily compress a PDF document, merge multiple pages, sign a document, and so on.
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Before embarking on a new project, you should evaluate which language or framework is best for you to achieve the desired result. Python Django helps to implement collapsible projects and create a functional website, besides, now you can easily find experts in this field here https://coaxsoft.com/development-services/django-development-services
Great! 🫶
I'm listening to this podcast for the first time . I'm really liking the content, delivery, and style. It's engaging. Not too fast and not too slow.
Great episode! Really spoke to me, especially being a beginner looking to gradually transition from Excel.
this guest was great!
I love it very much, very helpful
tanks