This workshop series will present an extensive discussion on how to improve the performance of Python in data science by looking under the hood of its language/libraries and using the technologies to make Python a practical solution for the high-performance big data analytics. In the first session, we will focus on how to boost the speed of python code in an interperter level by explaining the concepts (e.g. GIL, GIT) and introducing the packages of pypy, numba, pythran, cython etc. Although no specific prerequisite is required to attend the talk, having programming experience in Python will be helpful to fully understand the lecture content.
As machine learning gains more and more popularity in science and technology in recent years, scikit-learn becomes one of the must-have libraries in the general machine learning toolbox. In this lecture we will present an in-depth introduction to scikit-learn python library. Prerequisite knowledge for the workshop includes Python programming and basic machine learning concepts.
Python is a general-purpose programming language that is easy to learn and widely used. It is one of the primary programming languages for data science, and when combined with its…
Python is a general-purpose programming language that is easy to learn and widely used. It is one of the primary programming languages for data science, and when combined with its…
Python is a general-purpose programming language that is easy to learn and widely used. It is one of the primary programming languages for data science, and when combined with its…
Please REGISTER in advance here. Workshop will be conducted in Zoom in PST time. Invites are sent out the day before the workshop. In this hands on workshop, you will…
REGISTRATION IS NOW OPEN, RSVP HERE! Wednesday October 28th, 10am (PDT): Welcome message and humanitarian map training Thursday October 29th: Continue mapping and a day of workshops9am Open Street Map…
Please RVSP here. Workshop will be conducted in Zoom in PST time. Invites are sent out the day before the workshop. This workshop is part one of a four-part workshop…
Anaconda is a popular, free, and open-source distribution of Python and R packages for scientific computing and data analysis. Many users prefer using Anaconda on the personal computer instead of…
The term “data science” has become a ubiquitous and all-encompassing term to address any field that utilizes data analytics in one form or another. Despite having such a broad mandate,…