Difference: PythonFirst (1 vs. 10)

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Revision 902 Jun 2016 - AndrewCasey

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Lecture 3: Lecture_3.pptx
 
  1. Introduction
    • Starting python and getting used to the environment
    • Python as a calculator
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Revision 801 Jun 2016 - AndrewCasey

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Lecture 2: lecture2-2016.ppt
 
  1. Introduction
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    • Python as a calculator
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Revision 731 May 2016 - AndrewCasey

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Course notes
Numpy/Scipy notes
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Course Notes - read first : ph2150_notes_2016.pdf (25 pages)

Additional more comphrensive notes (reference, 300 pages) Numpy/Scipy notes

In the post exam week the introduction will cover the following topics:

Lecture 1: Lecture1.pptx

 
  1. Introduction
    • Starting python and getting used to the environment
    • Python as a calculator
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  1. Functions
    • Write your own functions to do something useful
    • Use functions already defined in python or python libraries
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    • Problem sheet 1, due beginning of first python session in the Autumn term PH2150-2015-PS1.pdf
 
  1. Lists
    • Lists to store data
    • Functions on lists
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    • Conditionals (==, etc)
    • if, for, while
    • Arrays
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    • Data and mathematical data structures
  1. Plotting
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  1. Advanced plotting
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-- StewartBoogert - 03 Jun 2013
 
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Revision 601 Jun 2015 - AndrewCasey

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  1. Functions
    • Write your own functions to do something useful
    • Use functions already defined in python or python libraries
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    • Problem sheet 1, due beginning of first python session in the Autumn term PH2150-2015-PS1.pdf
 
  1. Lists
    • Lists to store data
    • Functions on lists
  2. Control structures
    • Conditionals (==, etc)
    • if, for, while
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  1. Arrays
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    • Data and mathematical data structures
  1. Plotting
  2. Advanced plotting
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  -- StewartBoogert - 03 Jun 2013
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Revision 529 May 2014 - StewartBoogert

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  1. Plotting
    • Scatter plot
    • Axis labels
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  1. Advanced plotting
-- StewartBoogert - 03 Jun 2013
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Revision 427 May 2014 - AndrewCasey

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    • Functions on lists
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Revision 203 Jun 2013 - StewartBoogert

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Numpy/Scipy notes
 
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    • Starting python and getting used to the environment
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    • Use functions already defined in python or python libraries
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    • if, for, while
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  1. Arrays
    • Data and mathematical data structures
  2. Plotting
    • Scatter plot
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  3. Advanced plotting
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    • [[][Problems 3]]
    • Star data
    • STM data
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 -- StewartBoogert - 03 Jun 2013
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Revision 103 Jun 2013 - StewartBoogert

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Python 1st year after exam

Course notes
Numpy/Scipy notes

  1. Introduction
    • Starting python and getting used to the environment
    • Python as a calculator
  2. Functions
    • Write your own functions to do something useful
    • Use functions already defined in python or python libraries
    • [[][Problems 1]]
  3. Lists
    • Lists to store data
    • Functions on lists
  4. Control structures
    • Conditionals (==, etc)
    • if, for, while
    • [[][Problems 2]]
  5. Arrays
    • Data and mathematical data structures
  6. Plotting
    • Scatter plot
    • Axis labels
  7. Advanced plotting
    • [[][Problems 3]]
    • Star data
    • STM data
-- StewartBoogert - 03 Jun 2013
 
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