Talks - Valerio Maggio: Pythonic `functional` (`iter`)tools for your data challenges

Python

Discover how to harness the power of Python's built-in functional programming tools, including `functools`, `itertools`, and `operator`, to simplify your data challenges and write more efficient code.

Key takeaways
  • Python’s built-in functools module provides several useful functions for working with iterables and iterators.
  • The reduce function is a powerful tool for aggregating the values of an iterable, and can be used to implement many common algorithms, such as summing a list of numbers.
  • The map function is used to apply a given function to each item of an iterable, and can be used to perform complex operations on data.
  • The filter function is used to filter out elements of an iterable that do not meet a certain condition, and can be used to simplify complex logic.
  • The zip function is used to combine multiple iterables into a single iterable of tuples, and can be used to process multiple data streams together.
  • Python’s itertools module provides a variety of functions for working with iterators, including cycle, permutations, and combinations.
  • The groupby function is used to group consecutive items of an iterable according to a common attribute, and can be used to process data that has been grouped together in a certain way.
  • The imap and ifilter functions are used to apply a given function to each item of an iterable, but only process the output if the function returns a truthy value.
  • The ifilterfalse function is used to inverse the behavior of the filter function, and can be used to include elements in the output that are filtered out by default.
  • Python’s operator module provides several useful functions for working with operators, including attrgetter, itemgetter, and methodcaller.
  • The attrgetter function is used to create a function that can be used to access the value of an attribute of an object, and can be used to simplify complex code that relies on object attributes.
  • The itemgetter function is used to create a function that can be used to access the value of an item of a sequence, and can be used to simplify complex code that relies on sequence items.
  • The methodcaller function is used to create a function that can be used to call a method of an object, and can be used to simplify complex code that relies on method calls.

More talks

"Getting 50,000 Companies on Board with Clojure" by Cam Saul

Talks - Sebastián Flores: Python and Data Storytelling to the Rescue: Let's Avoid More Deaths by...

Building high-performance, type-safe GraphQL APIs with Strawberry and Django

Kourlitis et al. - Scientific Python ecosystem helps answering fundamental questions of the Universe

Talks - Mridul Seth, Erik Welch: NetworkX is Fast Now: Graph Analytics Unleashed

Build an AI Document Inquiry Chat with Offline LLMs [PyCon DE & PyData Berlin 2024]

State-of-the-art image generation for the masses with Diffusers — Sayak Paul

Luca Baggi - How I used Polars to build built functime, a next gen ML forecasting library