Python Scientific Computing Course

##Topics:

Basics
- Introduction to Programming
- Introducing IDE: Wing IDE, PyScripter, Ninja IDE, Spider, PyCharm
- IPython: interactive computing
- 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
- Introduction to HPC

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.ipynb_checkpoints		.ipynb_checkpoints
1-Introduction to Pandas.ipynb		1-Introduction to Pandas.ipynb
2-Data Wrangling with Pandas.ipynb		2-Data Wrangling with Pandas.ipynb
Lecture-1-Introduction-to-Python-Programming.ipynb		Lecture-1-Introduction-to-Python-Programming.ipynb
Lecture-2-Basics-of-Python-Programming.ipynb		Lecture-2-Basics-of-Python-Programming.ipynb
Lecture-3-Basics-of-Python-Programming.ipynb		Lecture-3-Basics-of-Python-Programming.ipynb
Lecture-4-Basics-of-Python-Programming.ipynb		Lecture-4-Basics-of-Python-Programming.ipynb
Lecture-5-Numpy-Arrays.ipynb		Lecture-5-Numpy-Arrays.ipynb
Lecture-6-Plotting-with-Matplotlib.ipynb		Lecture-6-Plotting-with-Matplotlib.ipynb
Lecture-7-Network-Analysis-with-NetworkX.ipynb		Lecture-7-Network-Analysis-with-NetworkX.ipynb
Lecture-8-Data-Analysis-with-Pandas.ipynb		Lecture-8-Data-Analysis-with-Pandas.ipynb
README.md		README.md
Thumbs.db		Thumbs.db
Topics.ipynb		Topics.ipynb
data.txt		data.txt
graph.json		graph.json
graph.png		graph.png
test.png		test.png
test2.png		test2.png
test3.png		test3.png

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