1.
Scientific Computing with
Python
An Introduction to Data Analysis &
High Performance Computing
Topics:
 Basics
 Introduction to Programming
 Introducing IDE: Wing IDE, PyScripter, Ninja IDE, Spyder, PyCharm
 Interactive computing with IPython
 Basics of Python Programming (lists, tuples, dictionaries, loops,
data types, operators, if statements, functions, try-catch, …)
 Python Object Oriented Programming
 Input and Output (I/O)
 Packages and applications
 Advanced
 Manipulating numerical data with NumPy
 Plotting with Matplotlib in details
 Data Analysis with Pandas
 Network Analysis with NetworkX
 Introduction to HPC
Term: 16 hours
Location: Condensed Matter Lab, Floor 5, Physics Department, IUT
Course Start Date: Sunday 13 February 2015
Lecturer: Mojtaba Khodadadi
If you have any further questions about this course please contact us.
python.course.iut@gmail.com