# Difference: PostExamPython (1 vs. 10)

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# Course Notes:

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Lecture 4: (pdf) The Numpy Array, PH2150_lecture4.pdf
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Lecture 5: (Jupyter Notebook), Matplotlib, PostExamPython-Matplotlib_tutorial.ipynb
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Lecture 5: (Jupyter Notebook), Matplotlib, PH2150_lecture5.ipynb

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Lecture 5: (pdf), Matplotlib, PH2150_lecture5.pdf

# PH2150 Problem sheets:

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#### Revision 929 May 2019 - AndrewCasey

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# Course Notes:

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Lecture 3: (pdf),User Defined Functions, PH2150_Lecture3.pdf
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Lecture 4: (pptx) The Numpy Array, lecture4-2018.pptx
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Lecture 4: (Jupyter Notebook) The Numpy Array, PH2150_lecture4.ipynb

Lecture 4: (pdf) The Numpy Array, PH2150_lecture4.pdf

Lecture 5: (Jupyter Notebook), Matplotlib, PostExamPython-Matplotlib_tutorial.ipynb
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#### Revision 828 May 2019 - AndrewCasey

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# Course Notes:

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Lecture 2: (pdf), Variables, Modules, Control Structures, PH2150_Lecture2.pdf
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Lecture 3: (Jupyter Notebook),User Defined Functions, Lecture-2pm-userdefinedfunction.ipynb
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Lecture 3: (Jupyter Notebook),User Defined Functions, PH2150_Lecture3.ipynb

Lecture 3: (pdf),User Defined Functions, PH2150_Lecture3.pdf

Lecture 4: (pptx) The Numpy Array, lecture4-2018.pptx
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#### Revision 728 May 2019 - AndrewCasey

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# Course Notes:

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Lecture 2: (Jupyter Notebook), Variables, Modules, Control Structures, PH2150_Lecture2.ipynb
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Lecture 2: (pdf), Variables, Modules, Control Structures, Lecture-1-PH2150_Post_Exam_Scietific_Computing_and_Employabilty_Skills.html
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Lecture 2: (pdf), Variables, Modules, Control Structures, PH2150_Lecture2.pdf
Lecture 3: (Jupyter Notebook),User Defined Functions, Lecture-2pm-userdefinedfunction.ipynb

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# Post Exam Lectures:

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During the course we will be using Jupyter notebooks, that are files that can run code and contain notes. Here I have created a static pdf version of each lecture so that you can easily read the info. To run the Juypter notbook copy the file to your working directory, open Juypter notebooks in Anaconda and navigate to your file. Alternatively you can launch a slide show from the python terminal with the command:
`jupyter nbconvert *filename*.ipynb to slides --post serve`
Lecture 1 Tues AM: ( Jupyter Notebook) Course Aims, PH2150_2019_Lecture1.ipynb

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Lecture 2: (pptx), Modules, Control Structures, Functions, lecture2-2018am.pptx
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Lecture 2: (Jupyter Notebook), Variables, Modules, Control Structures, PH2150_Lecture2.ipynb

Lecture 2: (pdf), Variables, Modules, Control Structures, Lecture-1-PH2150_Post_Exam_Scietific_Computing_and_Employabilty_Skills.html

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Lecture 2-PM: (Jupyter Notebook),User Defined Functions, Lecture-2pm-userdefinedfunction.ipynb
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Lecture 3: (Jupyter Notebook),User Defined Functions, Lecture-2pm-userdefinedfunction.ipynb

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Lecture Wed AM: (pptx) The Numpy Array, lecture4-2018.pptx
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Lecture 4: (pptx) The Numpy Array, lecture4-2018.pptx

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Lecture Thursday AM: (Jupyter Notebook), Matplotlib, PostExamPython-Matplotlib_tutorial.ipynb
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Lecture 5: (Jupyter Notebook), Matplotlib, PostExamPython-Matplotlib_tutorial.ipynb

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Lecture Thursday AM: (html file), Matplotlib, PostExamPython-Matplotlib_tutorial.html
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Lecture 5: (html file), Matplotlib, PostExamPython-Matplotlib_tutorial.html

# PH2150 Problem sheets:

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#### Revision 528 May 2019 - AndrewCasey

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# Course Notes:

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Read this first Basic Python notes (written for 2.x, to be updated during the summer): ph2150_notes_2016.pdf (25 pages)
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The complete guide to Scientific Programming in Python written by the developers: ScipyLectures-simple.pdf, html version here https://www.scipy-lectures.org/
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The complete guide to Scientific Programming in Python written by the developers: ScipyLectures-simple.pdf, html version here https://scipy-lectures.org/

# Post Exam Week:

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• Starting python and getting used to the environment
• Python as a calculator
1. Functions
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• Write your own functions to do something useful

• Use functions already defined in python or python libraries
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• Write your own functions to do something useful

1. Lists
• Lists to store data
• Functions on lists
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• Scatter plot
• Axis labels
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# Post Exam Lectures:

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Lecture 1: ( Jupyter Notebook) Course Aims, Lecture-1-PH2150_Post_Exam_Scietific_Computing_and_Employabilty_Skills.ipynb
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Lecture 1 Tues AM: ( Jupyter Notebook) Course Aims, PH2150_2019_Lecture1.ipynb

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Lecture 1: (html file, runs in browser) Course Aims, Lecture-1-PH2150_Post_Exam_Scietific_Computing_and_Employabilty_Skills.html
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# PH2150 Problem sheets:

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PS1: (Due in after the first session in the Autumn term) PH2150-2019-PS1.pdf

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PS2: (Due in after 2nd session in the Autumn term) PH2150-2018-PS2.pdf
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PS2: (Due in after 2nd session in the Autumn term) PH2150-2019-PS2.pdf

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PS3: (Due in before 3rd session in the Autumn term) PH2150-2018-PS3.pdf
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PS3: (Due in before 3rd session in the Autumn term) PH2150-2019-PS3.pdf

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# Course Notes:

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Lecture 2-PM: (Jupyter Notebook),User Defined Functions, Lecture-2pm-userdefinedfunction.ipynb

Lecture Wed AM: (pptx) The Numpy Array, lecture4-2018.pptx

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Lecture Thursday AM: (Jupyter Notebook), Matplotlib, PostExamPython-Matplotlib_tutorial.ipynb

Lecture Thursday AM: (html file), Matplotlib, PostExamPython-Matplotlib_tutorial.html

# PH2150 Problem sheets:

PS1: (Due in after the first session in the Autumn term) PH2150-2018-PS1.pdf

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#### Revision 323 May 2018 - AndrewCasey

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# Course Notes:

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1. Introduction
• Starting python and getting used to the environment
• Python as a calculator
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• Problem sheet 1

1. Functions
• Write your own functions to do something useful
• Use functions already defined in python or python libraries
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Lecture 2-PM: (Jupyter Notebook),User Defined Functions, Lecture-2pm-userdefinedfunction.ipynb
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Lecture Wed AM: (pptx) The Numpy Array, lecture4-2018.pptx

# PH2150 Problem sheets:

PS1: (Due in after the first session in the Autumn term) PH2150-2018-PS1.pdf

PS2: (Due in after 2nd session in the Autumn term) PH2150-2018-PS2.pdf

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PS3: (Due in before 3rd session in the Autumn term) PH2150-2018-PS3.pdf

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# Course Notes:

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Lecture 1: (html file, runs in browser) Course Aims, Lecture-1-PH2150_Post_Exam_Scietific_Computing_and_Employabilty_Skills.html
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Lecture 2: (pptx), Modules, Control Structures, Functions, lecture2-2018am.pptx

Lecture 2-PM: (Jupyter Notebook),User Defined Functions, Lecture-2pm-userdefinedfunction.ipynb

# PH2150 Problem sheets:

PS1: (Due in after the first session in the Autumn term) PH2150-2018-PS1.pdf

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PS2: (Due in after 2nd session in the Autumn term) PH2150-2018-PS2.pdf

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#### Revision 121 May 2018 - AndrewCasey

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# Course Notes:

PH2150 - Post Exam Python (to be moved onto the PH2150 Moodle page during the summer moodle rol-over)

Read this first Basic Python notes (written for 2.x, to be updated during the summer): ph2150_notes_2016.pdf (25 pages)

The complete guide to Scientific Programming in Python written by the developers: ScipyLectures-simple.pdf, html version here https://www.scipy-lectures.org/

# Post Exam Week:

1. Introduction
• Starting python and getting used to the environment
• Python as a calculator
• Problem sheet 1
2. Functions
• Write your own functions to do something useful
• Use functions already defined in python or python libraries
3. Lists
• Lists to store data
• Functions on lists
4. Control structures
• Conditionals (==, etc)
• if, for, while
5. Arrays
• Data and mathematical data structures
6. Plotting
• Scatter plot
• Axis labels

# Post Exam Lectures:

Lecture 1: ( Jupyter Notebook) Course Aims, Lecture-1-PH2150_Post_Exam_Scietific_Computing_and_Employabilty_Skills.ipynb

Lecture 1: (html file, runs in browser) Course Aims, Lecture-1-PH2150_Post_Exam_Scietific_Computing_and_Employabilty_Skills.html

# PH2150 Problem sheets:

PS1: (Due in after the first session in the Autumn term) PH2150-2018-PS1.pdf

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