Measuring Bias, Toxicity, and Truthfulness in LLMs With Python

Measuring Bias, Toxicity, and Truthfulness in LLMs With Python

How can you measure the quality of a large language model? What tools can measure bias, toxicity, and truthfulness levels in a model using Python? This week on the show, Jodie Burchell, developer advocate for data science at JetBrains, returns to discuss techniques and tools for evaluating LLMs With Python.

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Improving Classification Models With XGBoost

Improving Classification Models With XGBoost

How can you improve a classification model while avoiding overfitting? Once you have a model, what tools can you use to explain it to others? This week on the show, we talk with author and Python trainer Matt Harrison about his new book Effective XGBoost: Tuning, Understanding, and Deploying Classification Models.

25 Elo 20231h 5min

Common Python Stumbling Blocks & Quirky Behaviors

Common Python Stumbling Blocks & Quirky Behaviors

Have you ever encountered strange behavior when trying something new in Python? What are common quirks hiding within the language? This week on the show, Christopher Trudeau is here, bringing another batch of PyCoder's Weekly articles and projects.

11 Elo 202349min

Exploring pandas 2.0 & Targets for Apache Arrow

Exploring pandas 2.0 & Targets for Apache Arrow

What are the new ways to describe your data in pandas 2.0? Will the addition of Apache Arrow to the data back end foster the growth of data interoperability? This week on the show, we talk with pandas core developer Marc Garcia about the release of pandas 2.0.

4 Elo 20231h 14min

Differentiating the Versions of Python & Unlocking IPython's Magic

Differentiating the Versions of Python & Unlocking IPython's Magic

What are all the different versions of Python? You may have heard of Cython, Brython, PyPy, or others and wondered where they fit into the Python landscape. This week on the show, Christopher Trudeau is here, bringing another batch of PyCoder's Weekly articles and projects.

28 Heinä 202346min

Leveraging the Features of Your Database With Postgres and Python

Leveraging the Features of Your Database With Postgres and Python

Are you getting the most out of your Postgres database? What features could you leverage to improve your Python project? This week on the show, Craig Kerstiens from Crunchy Data is here to discuss getting the most out of Postgres.

21 Heinä 20231h

Constructing Python Library APIs & Tackling Jinja Templating

Constructing Python Library APIs & Tackling Jinja Templating

What principles should you consider when designing a Python library? How do you construct a library API that's understandable and easy to use? This week on the show, Christopher Trudeau is here, bringing another batch of PyCoder's Weekly articles and projects.

14 Heinä 202350min

Python Crash Course & Learning Enough to Start Creating

Python Crash Course & Learning Enough to Start Creating

How much Python do you need to learn to start creating projects? What's a good balance of information and hands-on practice? This week on the show, Eric Matthes is here to discuss his book Python Crash Course.

7 Heinä 20231h 13min

Exploring the Zen of Python & pandas Features for Finance

Exploring the Zen of Python & pandas Features for Finance

What advice can you extract from the Zen of Python? How can these nineteen guiding principles help you write more idiomatic Python? This week on the show, Christopher Trudeau is here, bringing another batch of PyCoder's Weekly articles and projects.

30 Kesä 202350min