#261: Monitoring and auditing machine learning

#261: Monitoring and auditing machine learning

Traditionally, when we have depended upon software to make a decision with real-world implications, that software was deterministic. It had some inputs, a few if statements, and we could point to the exact line of code where the decision was made. And the same inputs lead to the same decisions.

Episoder(544)

#39: Getting your first dev job as a Python developer (part 1)

#39: Getting your first dev job as a Python developer (part 1)

How often do you meet people who are looking to get into the software development space? Do they ask you for advice? Maybe they want to know your story of how you got started and landed that first big...

22 Des 201550min

#38: Continuous Integration and Delivery at Codeship

#38: Continuous Integration and Delivery at Codeship

Have you heard about the works on my machine certification program? It's a really awesome certification for developers. It was created by Joseph Cooney and enhanced by Jeff Atwood (of stackoverflow fa...

15 Des 20151h 2min

#37: Python Cybersecurity and Penetration Testing

#37: Python Cybersecurity and Penetration Testing

How secure is your application? Do you know the main vulnerabilities that most apps suffer from? How would you even start answer these questions? On this episode of Talk Python To Me, Justin Seitz is ...

8 Des 20151h 4min

#36: Python IDEs with the PyCharm team

#36: Python IDEs with the PyCharm team

As a software developer, what's the most important application on your computer? If your answer is Microsoft Outlook, my heart goes out to you - stay strong! But for most of us, it's probably a toss u...

1 Des 201559min

#35: Turbogears and the future of Python web frameworks

#35: Turbogears and the future of Python web frameworks

Do you have a new web project coming up? Are you thinking of choosing Django or maybe Flask? Those are excellent frameworks, but you might also want to check out TurboGears.

24 Nov 20151h 1min

#34: Continuum: Scientific Python and The Business of Open Source

#34: Continuum: Scientific Python and The Business of Open Source

What if you built a product that dramatically improved how hundreds of free, open source Python libraries worked together, gave it to the world for free, and then built a thriving business on it? It's...

17 Nov 201559min

#33: OpenStack: Cloud computing built on Python

#33: OpenStack: Cloud computing built on Python

You've probably heard of Infrastructure-as-a-services (IaaS) cloud providers such as Amazon's AWS, with EC2 in particular, and to a lesser degree Microsoft's Azure cloud platform. But have you hear of...

10 Nov 201556min

#32: PyPy.js - PyPy Python in Your Browser

#32: PyPy.js - PyPy Python in Your Browser

Imagine a future where you are building that rich, client-side web app. You start by creating some backend services in Flask or Node, an HTML page, throw in a few divs and uls, and then you type [scri...

3 Nov 201559min

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