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The Real Python Podcast

The Real Python Podcast
Author: Real Python
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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.
255 Episodes
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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.
Do you want to learn deeper concepts in Python? Would the accountability of scheduled group classes help you get past the basics? This week, five Real Python Intermediate Deep Dive workshop members discuss their experiences.
What are the current Python graphical user interface libraries? Should you build everything in the terminal and create a text-based user interface instead? Christopher Trudeau is back on the show this week, bringing another batch of PyCoder's Weekly articles and projects.
What goes into updating one of the most popular books about working with Python? After a decade of changes in the Python landscape, what projects, libraries, and skills are relevant to an office worker? This week on the show, we speak with previous guest Al Sweigart about the third edition of "Automate the Boring Stuff With Python."
How can you simplify the management of your Python projects with one file? What are the advantages of using LazyFrames in Polars? Christopher Trudeau is back on the show this week, bringing another batch of PyCoder's Weekly articles and projects.
Should you always start testing your code with unit tests? When does it make sense to look at integration or end-to-end testing as a first step instead? This week on the show, we speak with previous guest Eric Matthes about where to begin testing your code.
How do you learn the terms commonly used when speaking about Python? How is the jargon similar to other programming languages? Christopher Trudeau is back on the show this week, bringing another batch of PyCoder's Weekly articles and projects.
How do you make compelling visualizations that best convey the story of your data? What methods can you employ within popular Python tools to improve your plots and graphs? This week on the show, Matt Harrison returns to discuss his new book "Effective Visualization: Exploiting Matplotlib & Pandas."
What is behavior-driven development, and how does it work alongside test-driven development? How do you communicate requirements between teams in an organization? Christopher Trudeau is back on the show this week, bringing another batch of PyCoder's Weekly articles and projects.
Are you looking for fast tools to lint your code and manage your projects? How is the Rust programming language being used to speed up Python tools? This week on the show, we speak with Charlie Marsh about his company, Astral, and their tools, uv and Ruff.
What goes into creating automated tests for your Python code? Should you focus on testing the individual code sections or on how the entire system runs? Christopher Trudeau is back on the show this week, bringing another batch of PyCoder's Weekly articles and projects.
What are the current large language model (LLM) tools you can use to develop Python? What prompting techniques and strategies produce better results? This week on the show, we speak with Simon Willison about his LLM research and his exploration of writing Python code with these rapidly evolving tools.
What are the principles you should consider when making decisions about which Python tools to use? What anti-patterns get in the way of making the right choices for your team? 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