#455: Land Your First Data Job
Talk Python To Me4 Huhti 2024

#455: Land Your First Data Job

Interested in data science but you're not quite working in it yet? In software, getting that very first job can truly be the hardest one to land. On this episode, we have Avery Smith from Data Career Jumpstart here to share his advice for getting your first data job.

Jaksot(517)

#60: Scaling Python to 1000's of cores with Ufora

#60: Scaling Python to 1000's of cores with Ufora

You've heard me talk previously about scaling Python and Python performance on this show. But on this episode I'm bringing you a very interesting project pushing the upper bound of Python performance for a certain class of applications.

24 Touko 20161h 7min

#59: SageMath - Open source is ready to compete in the classroom

#59: SageMath - Open source is ready to compete in the classroom

What do you do when you are a high caliber mathematician or scientist and you want share your algorithms and code? This sounds like a job for github, but the problem is often this work is done on proprietary platforms such as Magma, Matlab, Mathematica or others.

18 Touko 201659min

#58: Create better Python programs with concurrency, libraries, and patterns

#58: Create better Python programs with concurrency, libraries, and patterns

What do you focus on once you've learned the core concepts of the Python programming language and ecosystem?

10 Touko 201654min

#57: Python performance from the inside-out at Intel

#57: Python performance from the inside-out at Intel

When you think about the performance of your software, there is nothing more low level and fundamental than how your code executes on the CPU itself. Many of us study and try to understand how to maximize performance at this low level. But few are in a position to define what happens at this level.

5 Touko 201656min

#56: Data Science from Scratch

#56: Data Science from Scratch

You likely know that Python is one of the fastest growing languages for data science. This is a discipline that combines the scientific inquiry of hypotheses and tests, the mathematical intuition of probability and statistics, the AI foundations of machine learning, a fluency in big data processing, and the Python language itself. That is a very broad set of skills we need to be good data scientists and yet each one is deep and often hard to understand.

27 Huhti 201651min

#55: How our engineering environments are killing diversity (and how we can fix it)

#55: How our engineering environments are killing diversity (and how we can fix it)

In the software field, we pride ourselves on fairness, openness and the fact that our workplaces are largely meritocracies. And compared to other environments, I would say this is certainly true. It's one of the reasons I love being a developer. And yet, if we look at programming jobs in Silicon Valley, you'll see that over 85% of them are filled by men and less than 15% women.

21 Huhti 20161h 1min

#54: Enterprise Software with Python

#54: Enterprise Software with Python

How often have people asked what language / technology you work in and when you answered Python they got a little confused and asked, what can you actually build with Python? What type of apps? The implication being Python is just a notch above Bash scripts. That real things aren't built with Python but rather Java, C#, Objective-C and so on.

14 Huhti 20161h 7min

#53: Python in Visual Studio

#53: Python in Visual Studio

What's your favorite Python editor? That is one of the questions I always ask at the end of the episode. This week I want to shine a light on a fantastic answer to that question for Windows developers: Visual Studio.

6 Huhti 201650min