PH2150 Scientific Computing Skills

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Presentation transcript:

PH2150 Scientific Computing Skills Aims and Objectives: Python: Basic understanding of the syntax of Python Plot and analyse experimental data Gain insight into some topics from 1st and 2nd year courses Preparation for final year project A walk through

PH2150 Scientific Computing Skills Course Structure: Post Exam introduction week The first 4 weeks covering the basics of Python, Variables types, operators, I/O Loop structures, Functions Modules, plotting Fitting data, errors

PH2150 Scientific Computing Skills Course Structure: Remaining 6 weeks: Writing a scientific report in Latex. Exercises related to your other Physics courses: These problems come from G Sordi(QM), S Gibson (Optics), C Lusher(EM), G Cowan (Maths)

PH2150 Scientific Computing Skills Course Structure: Every week there will be an exercise sheet that will be submitted via Turnitin at the end of the week. These will be marked in class at the beginning of the following week. These marks (plus an extended exercise at the end) will form the assessment of the course. They should start gently and build up to more complex problems as you become more proficient in Python.

PH2150 Scientific Computing Skills Why Python? More detail in this question in the moodle notes, but the essence is that: rapid development time open source (free to have at home) its easy to do easy things and possible to do really complicated things. growing user base in academia and industry.

PH2150 Scientific Computing Skills Who is using Python?

PH2150 Scientific Computing Skills

PH2150 Scientific Computing Skills Which Python? There are two variants 2.x and 3.x (not back compatible), however all the scientific libraries that exist in 2.x so that’s what we will use. Specifically Python 2.7.3 contained within Canopy. https://www.enthought.com/products/canopy/

PH2150 Scientific Computing Skills Canopy, Enthought Python Distribution Python requires two parts: Development Environment, where you edit code Interpreter, Python shell, where the computer runs the code. These can be integrated into single environment such as in Canopy

PH2150 Scientific Computing Skills Development Environment, text editor Generic text editor with support for code editing, by selecting Python from the language menu, the script will be colour coded #comments in green etc Syntax errors such as missing brackets are highlighted

PH2150 Scientific Computing Skills Interpreter, Python shell

PH2150 Scientific Computing Skills

PH2150 Scientific Computing Skills https://twiki.ph.rhul.ac.uk/twiki/bin/view/Students/UnderGraduates/PythonFirst

PH2150 Scientific Computing Skills https://twiki.ph.rhul.ac.uk/twiki/bin/view/Students/UnderGraduates/PythonFirst Introduction Course Notes Notes on packages NumPy and SciPy Problem sheets 1-3 with accompanying material During the course this material will be moved to moodle

PH2150 Scientific Computing Skills