Course topics

[ecwu]

What will we teach?

• [x] Basic knowledge in Python

• [x] The Type of Data and Data Structure in Python

• [x] Function

• [x] Regular Expression

• [x] numpy and scipy

• [x] pandas

• [x] matplotlib

• [ ] Linear Regression

• What they can get?

• How much they can receive? ( the percentage)

[TerenceLiu98]

Linear Regression is too specialised, in Statistics, we have this course in year three. We can advice them to take the FE course ,like Calculus , modelling and etc. to improve their mathematics

[ecwu]

• [ ] IO
• [ ] Object Oriented Programming

[ecwu]

Basic knowledge in Python

• [x] Introduction: History, Definition, Advantage/Disadvantage, Application
• [x] Basic: Environment (Python or Anaconda), Run your first line of Python code (Interactive, Script)
• [x] Variable & Identifier, Reserved words, Indentation, Input/Print

The Type of Data and Data Structure in Python

• [x] Data Types
• [x] List/Tuple
• [x] Set/Frozenset
• [x] Dictionary

Function

• [x] Operators
• [x] Control flow
• [x] Function/Class/Object
• [x] Module/Library
• [x] Exception
• [x] I/O

[TerenceLiu98]

I think They have to learn all the knowledge on the list. If they have basic programming foundation, it will be very easy for them. If not, these are very important for their programming.

[TerenceLiu98]

Also, we can combine The Type of Data and Data Structure in Python into the first item: Basic knowledge in Python. Is that alright ?

[ecwu]

@TerenceLiu98 I reorganized those items.

[ecwu]

@TerenceLiu98 Regular Expression should not list with the function part, place it in a separate category is a better arrangement.

[TerenceLiu98]

numpy

• [ ] overview
• [ ] basic matplotlib
• [ ] arrays in numpy
• [ ] sorting arrays in numpy
• [ ] diagonals
• [ ] shape
• [ ] data and string
• [ ] function creation
• [ ] matrix
• [ ] specific function in numpy
• [ ] vectoring your function
• [ ] operator
• [ ] universal-functions
• [ ] 'choose' function
• [ ] array broadcasting
• [ ] read and write arrays
• [ ] compare with MATLAB

scipy

• [ ] overview
• [ ] interpolation with scipy
• [ ] stats
• [ ] cerve fitting
• [ ] function minimisation
• [ ] integration
• [ ] solving differential equation
• [ ] sparse in DE(differential equation)
• [ ] matrix
• [ ] Linear Algebra
• [ ] sparse in LA (Linear Algebra

matplotlib

• [ ] pyplot
• [ ] text in plot
• [ ] image
• [ ] annotate
• [ ] legend
• [ ] figures & subplot & axes & ticks

pandas

• [ ] introduction
• [ ] one dimensional data
• [ ] two dimensional data

[ecwu]

Let's pick an "easy" one for the first workshop topic. I suggest requests.

[TerenceLiu98]

According to the reliable information, Dr.Zhao from the DST will not open the Python in Finance to other major students, which means the Python course can be put back on the agenda. Any suggestion ? @ecwu @lmy441900 @billzhonggz

[ecwu]

@TerenceLiu98 The content is a big problem, Those we had discussed were a bit too much and not interesting enough.