Why this school?

This school aims to integrate all domains of natural science (Physics, Chemistry, Biology) students (bachelor and master’s level) to give a common platform to learn python programming from basic to intermediate level. This school is designed to foster the professional development of undergraduate and graduate students based around Nepal. We will cover some useful modern statistical and data analysis tools as well in scientific research. For this year, we will be hosting the program via ZOOM. Also, no prior knowledge of programming language is required. 

Registration

Registration

To formalize the participation you must fill the registration form. Click the register button on right side to open registration form. Selected candidates will be notified about Payment. If bank transfer or eSewa is chosen, you have to state clearly the name and the reference received by email.

Registration fee: The registration before the deadline is 3000 NPR.

 

Topics
Register

Topics

This school aims to integrate all domains of natural science (Physics, Chemistry, Biology) students (bachelor and master’s level) to give a common platform to learn python programming from basic to intermediate level. This school is designed to foster the professional development of undergraduate and graduate students based around Nepal. We will cover some useful modern statistical and data analysis tools as well in scientific research. For this year, we will be hosting the program via ZOOM. Also, no prior knowledge of programming language is required.
01. Introduction to Python
02. Data visualization and analysis with Matplotlib, Seaborn, Scip.
03. Monte Carlo Simulation
04. Git and GitHub
Important dates

Important dates

  • Application Deadline: May 31

  • Application deadline for financial support: May 20

  • Program start date: June 1

Posters

Contact

Raj Kumar Pradhan 

All participants should have a laptop or desktop available and good internet speed. 
In order to full advantage of all sessions, we encourage all participants to  use unix based OS (linux). 
Also, we would like to suggest all to install anaconda. In this system, you can create a virtual environment of  Anaconda Distribution, once you have installed anaconda in your laptop then create a conda environment and test it:
https://github.com/school-of-scientific-computing