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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

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Active Learning Strategies (in short ALS).pdf
 

Announcement of the Course "Scientific Computing with Python: An Introduction to Data Analysis & High Performance Computing"

  • 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