#133: Productivity for developers
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.
11 Loka 20171h 4min
#132: Contributing to open source
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?
4 Loka 20171h 4min
#131: Top 10 machine learning libraries
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.
26 Syys 201754min
#130: 10 books Python developers should be reading
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.
19 Syys 201752min
#129: Falcon: The bare-metal Python web framework
Full featured web frameworks such as Django are great. But sometimes, living closer to the network layer is just the thing you need.
14 Syys 201759min
#128: Pythonic Networks with NAPALM
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.
7 Syys 201756min
#127: Shipping software to users
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.
31 Elo 20171h 15min
#126: Kubernetes for Pythonistas
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.
22 Elo 201759min
