Intro to Python – Part 1
Python is a popular language in academia and industry for developing software and data science applications. Compared to the other generic programming languages like C, C++, or Java, learning Python … Read More
Python is a popular language in academia and industry for developing software and data science applications. Compared to the other generic programming languages like C, C++, or Java, learning Python … Read More
Python is a popular language in academia and industry for developing software and data science applications. Compared to the other generic programming languages like C, C++, or Java, learning Python … Read More
Each maintenance period is expected to begin at about 08:00 ET on the first day and end by about 19:00 ET on the 2nd day. 2022 anticipated maintenance schedule (all … Read More
OARC in collaboration with Chemical Computing Group (CCG), continue MOE training sessions. Session 1 was completed at the end of May, 2022. Session 2 is scheduled for Tuesday, Oct 25, … Read More
Workshop content: This workshop provides hands-on training on how to utilize packages like numpy, pandas, matplotlib, plotly, etc. to store, process, and visualize data. If you have questions or need … Read More
Workshop content: This workshop provides hands-on training on how to utilize packages like numpy, pandas, matplotlib, plotly, etc. to store, process, and visualize data. If you have questions or need … Read More
Workshop content: In recent years, Python has become one of the top programming languages for doing data analysis due to its inherent advantages such as simplicity, readability, portability, etc., However, … Read More
Mapathon on GIS (geographic information systems) Day during National Geography Awareness Week, allows students to help create maps of high vulnerability areas where data is scarce, enabling disaster responders to … Read More
Workshop content: In recent years, Python has become one of the top programming languages for doing data analysis due to its inherent advantages such as simplicity, readability, portability, etc., However, … Read More
Machine learning (ML) methods are widely adopted by the academia and industry for applications in science, engineering, healthcare, and humanities. One of the greatest advantages of ML is that they … Read More