Talk Python To Me

Have you noticed that web development is kind of hard? If you've been doing it for a long time, this is easy to forget. It probably sounds easy enough

Design has become a critical element in software. Back in the 90's, it was fine to produce or sell "battleship grey" apps that worked by did not do much to delight. Today, design is table stakes. And knowing how to design applications yourself and work with designers is a key still.

Do run any code that listens on an open port on the internet? This could be a website, a RESTful web service, or (gasp) even a database endpoint.

We all have smartphones these days. And we take them with us everywhere we go. How much could you infer about a person (their stage in life, their driving style, their work / life balance) based on just a phone's motion and GPS data?

What is the biggest challenge facing human civilization right now? Fake news, poverty, hunger? Yes, all of those are huge problems right now. Well, if climate change kicks in, you can bet it will amplify these problems and more. That's why it's critical that we get answers and fundamental models to help understand where we are, where we are going, and how we can improve things.

This episode is all about developer productivity. From continuous learning, to git source control tips, to tools and books for developers, Jay Miller from the Productivity in Tech podcast is here to share his experiences.

Are you new to open source? Maybe been using it for a long time and never got around to contributing to it? Wondering how to get started?

Data science has been one of the major driving forces behind the explosion of Python in recent years. It's now used for AI research, controls some of the most powerful telescopes in the world, tracks crop growth and prediction and so much more.

One of the hallmarks of successful developers is continuous learning. The best developers I know don't just keep learning, it's one of the things that drives them. That's why I'm excited to bring you this episode on 10 books Python developers should read.

Full featured web frameworks such as Django are great. But sometimes, living closer to the network layer is just the thing you need.

When you think of networks, you probably think of physic things: Routers, switches, firewalls, and more. But increasingly, network engineers are managing massive networks that are better managed with software than via admin applications.

To make software useful, honestly, to even make it real, you have to ship it. Building a web app? Then deploy that next version. Building a toolset for data scientists? Send them that application. Managed to get a cool GUI going in Python with Togo or PySide? Time to have your users start downloading it.

Containers are revolutionizing the way we deploy and manage applications. These containers allow us to build, develop, test, and even deploy on the exact same system. We can build layered systems that fill in our dependencies. They even can play a crucial role in zero-downtime upgrades.

APIs were once the new and enabling thing in technology. Today they are table- stakes. And getting them right is important. Today we'll talk about one of the most popular and mature API frameworks in Django REST Framework. You'll meet the creator, Tom Christie and talk about the framework, API design, and even his successful take on funding open source projects.

We all know that Python is a major player in the application of Machine Learning and AI. That often involves grabbing Keras or TensorFlow and applying it to a problem. But what about AI research? When you're actually trying to create something that has yet to be created? How do researchers use Python here?