Rodrigo Girão Serrão: Python Training, itertools, and Idioms

Rodrigo Girão Serrão: Python Training, itertools, and Idioms

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.

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Stochastic Gradient Descent and Deploying Your Python Scripts on the Web

Stochastic Gradient Descent and Deploying Your Python Scripts on the Web

Do you know the initial steps to get your Python script hosted on the web? You may have built something with Flask, but how would you stand it up so that you can share it with others? This week on the show, we have the previous guest Martin Breuss back on the show. Martin shares his recent article titled, "Python Web Applications: Deploy Your Script as a Flask App". David Amos also returns, and he's brought another batch of PyCoder's Weekly articles and projects.

19 Feb 20211h 1min

Unraveling Python's Syntax to Its Core With Brett Cannon

Unraveling Python's Syntax to Its Core With Brett Cannon

Do you feel like you understand how Python works under the hood? What is syntactic sugar, and how much of it should be in Python? This week on the show, we have Brett Cannon. Brett is a Python core developer and he's been working on a series of articles where he is unraveling the syntax of Python. His series is a fantastic resource for those wanting to learn how Python is structured and works at its core.

12 Feb 20211h 32min

C for Python Developers and Data Visualization With Dash

C for Python Developers and Data Visualization With Dash

Are you interested in building interactive dashboards with Python? How about a project that takes a flat data file all the way to a web-hosted interactive dashboard? This week on the show, David Amos is back, and he's brought another batch of PyCoder's Weekly articles and projects.

5 Feb 202144min

Processing Images in Python With Pillow

Processing Images in Python With Pillow

Are you interested in processing images in Python? Do you need to load and modify images for your Flask or Django website or CMS? Then you most likely will be working with Pillow, the friendly fork of PIL, the Python imaging library. This week on the show, we have Mike Driscoll, who is writing a new book about image processing in Python.

29 Jan 202147min

Creating an Interactive Online Python Conference for PyCascades 2021

Creating an Interactive Online Python Conference for PyCascades 2021

How do you create a virtual conference that retains the interactivity of an in-person event? What are the tools needed for talk submissions, ticketing, and live hosting? Can you find those tools written in Python? This week on the show, we have several of the organizers of the PyCascades 2021 conference. They share the process of restructuring a Python conference to meet those challenges.

22 Jan 20211h 4min

Deep Reinforcement Learning in a Notebook With Jupylet + Gaming and Synthesis

Deep Reinforcement Learning in a Notebook With Jupylet + Gaming and Synthesis

What is it like to design a Python library for three different audiences? This week on the show, we have Nir Aides, creator of Jupylet. His new library is designed for deep reinforcement learning researchers, musicians interested in live music coding, and kids interested in learning to program. Everything is designed to run inside of a Jupyter notebook.

15 Jan 20211h 2min

What Is Data Engineering and Researching 10 Million Jupyter Notebooks

What Is Data Engineering and Researching 10 Million Jupyter Notebooks

Are you familiar with the role data engineers play in the modern landscape of data science and Python? Data engineering is a sub-discipline that focuses on the transportation, transformation, and storage of data. This week on the show, David Amos is back, and he's brought another batch of PyCoder's Weekly articles and projects.

8 Jan 202155min

2020 Real Python Articles in Review

2020 Real Python Articles in Review

It's been quite the year! The Real Python team has written, edited, curated, illustrated, and produced a mountain of Python articles this year. We also upgraded the site and membership with office hours, transcripts, this podcast, and much more. We are joined by two members of the Real Python team, David Amos and Joanna Jablonski. We wanted to share a year-end wrap-up with a collection of articles that showcase a diversity of Python topics and the quality of what our team created this year.

25 Dec 202047min

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