Speaker: Giacomo Debidda

PyData and Super Python Talks are back with another accessible data science tutorial, this time by Giacomo Debidda and at the LMU Biozentrum in Planegg! HDF5 is a file format and a data model designed to store large amounts of data used by many top universities, agencies …

PyData and Super Python Talks are back with another accessible data science tutorial, this time by Parastou Kohvaei and at the JetBrains Event Space! Today, we'll be reviewing one of Python's most powerful machine learning packages, Scikit-Learn. During this introductory-level tutorial, we'll learn how to use this package to perform …

PyData and Super Python Talks are back with another accessible data science tutorial! There is a lot of data out there on the internet, but it's not always in an easy-to-consume format. Luckily, there are a lot of "web scraping" tools out there to help us! These tools take the …

PyData and Super Python Talks are back online! To kick off the new semester, we'll be reviewing DataFrames with Pandas and showing how using long-format tables can simplify complex data filtering and grouping operations, which we'll demonstrate to make elegant data visualization and statistics code with the Seaborn and Statsmodels …

Speaker: Andreas Kist

Talk Description: Numpy is more than just an elaborate math library; data can be structured and analyzed faster, easier and with greater flexibility. In this lecture, we will cover advantages and disadvantages of numpy, when you should use it, and how to utilize the library on your …

Speaker: Michael Volkmore

Python is a powerful "glue" language for controlling external programs from the command line and a potent(ial) substitute as well complement to UNIX shell scripts. I will talk about calling command line programs using the subprocess module, working with stdin/stdout, the file system and explain …

This talk, given by Nick Del Grosso, will review object-oriented programming (OOP) in Python and will explore how understanding Python's internal object model helps us to understand other intermediate features of the language, including generator functions and context managers.

Topics include:

• Introduction to OOP

• Python's Magic Methods

• Staying OOP: Properties …

As our little community grows and needs more and more infrastructure, I though a centralized web site (written with Python, of course) might make for a nice info spot for new members, organizers, and sponsors.

My hope is that this site will be useful for advertising and summarizing events, as …

Speaker:

Roman Prytuliak

The talk will consist of introduction into parallel programming with simple application examples in Python. After the talk, the participants will be able to practice the coding, while getting assistance from the tutor(s) and other participants.

The topics covered:

• Understanding the concurrency
• Race conditions and how …

Speaker: Vilim Stih

The topic of the talk will be good practices in information design for scientific figures, and how to implement them with standard Python tools. I will cover more advanced methods of visualising 1, 2 and 3-dimesional data using matplotlib (with an emphasis on the object-oriented interface) and …