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Video: Supernova Cosmology with Python

In this video from PyData Seattle 2015, Rahul Biswas from the University of Washington presents: Supernova Cosmology with Python.

Video: High-Throughput Processing of Space Debris Data

“Space Debris are defunct objects in space, including old space vehicles (such as satellites or rocket stages) or fragments from collisions. Space debris can cause great damage to functional space ships and satellites. Thus detection of space debris and prediction of their orbital paths are essential for today’s operation of space missions. The talk shows the Python-based infrastructures BACARDI for gathering and storing space debris data from sensors and Skynet for high-throughput data processing and orbital collision detection.”

Computation at the Edges from PyData Seattle

In this video from PyData Seattle 2015, Van Lindberg from Rackspace presents: Computation at the Edges.

Video: An Intuitive Introduction to the Fourier Transform and FFT

“The fast fourier transform (FFT) algorithm is a powerful tool for looking at time-based measurements in an interesting way, but do you understand what it does? This talk will start from basic geometry and explain what the fourier transform is, how to understand it, why it’s useful and show examples. If you’re collecting time-series data (e.g. heart rate, stock prices, server usage, temperature) the fourier transform can be a useful tool for analyzing the underlying periodic nature of the data.”

Video: Faster Data Processing in Python

In this video from PyCon SG 2015, Anand S. presents: Faster Data Processing in Python. This talk covers methods to process and analyze visualize data faster in Python. The primary focus is on the technique (should you optimize? what to optimize? how to optimize?) while covering libraries that help with this (line_profiler, Pandas, Numba, etc.)

Call for Papers: Workshop on Python for High Performance & Scientific Computing

The 4th Workshop on Python for High Performance and Scientific Computing (PyHPC 2014) has extended its Call for Papers deadline to Sept. 12. The event takes place Nov. 17 in conjunction with SC14.

Announcing the Ceemple Tool for C++ Technical Computing

Programmers have a new tool for technical computing in Windows. Ceemple is an innovative solution enabling rapid C++ based scientific computing.

Python’s Role in Big Data Analytics: Past, Present, and Future

In this video from EuroPython 2014, Travis Oliphant from Continuum Analytics presents: Python’s Role in Big Data Analytics: Past, Present, and Future.

Online Course Breaks New Ground: Practical Numerical Methods with Python

George Washington University is launching a groundbreaking example of inter-institutional collaboration in open education through a Massive Open Online Course (MOOC) entitled “Practical Numerical Methods with Python.”

Lorena Barba on Why She Pushes Python

“Using Python has improved the effectiveness of our computer science program for all students … More students leave the course with the ability to create meaningful programs and with the positive attitude toward the experience of programming that this engenders.”