Workshop 4: SORRY, FULLY BOOKED!
Introduction into Python for Scientists and Engineers
Venue: Physics Department, Jungiusstraße 9, 20355 Hamburg, Pool room 3 (No. 302), third floor
Scope
The course covers the standard data structures and the usage of their methods. It introduces control
structures and functions. Code organization in Modules and Packages is another focus of this
introduction. It also introduces techniques for numeric data processing, including efficiently
manipulating and processing large data sets using NumPy and Pandas and data visualization with
the module Matplotlib.
Content
• Basic data classes: Integers, Floats, Strings
• Other data types: Lists, Tuples, Dictionaries, Sets
• Conversions between various data types
• Reference, copy, deepcopy
• Control flow: if Statements, for and while loops, break and continue statements in loops, else statement in loops
• Functions
• Reading and writing Files
• lambda, map and filer
• List Comprehension
• Sorting
• Exception handling
• Modules as an alternative to MATLAB
• Numpy
• Matplotlib
• Pandas
Prerequisite
Some programming experience with other high-level programming languages like C/C++, Java, Perl, PHP, Tcl or others. Python knowledge is not necessary.
Trainer
Dipl.-Inf. Bernd Klein (Bodenseo, Singen, Germany)
Introduction into Python for Scientists and Engineers
Venue: Physics Department, Jungiusstraße 9, 20355 Hamburg, Pool room 3 (No. 302), third floor
Scope
The course covers the standard data structures and the usage of their methods. It introduces control
structures and functions. Code organization in Modules and Packages is another focus of this
introduction. It also introduces techniques for numeric data processing, including efficiently
manipulating and processing large data sets using NumPy and Pandas and data visualization with
the module Matplotlib.
Content
• Basic data classes: Integers, Floats, Strings
• Other data types: Lists, Tuples, Dictionaries, Sets
• Conversions between various data types
• Reference, copy, deepcopy
• Control flow: if Statements, for and while loops, break and continue statements in loops, else statement in loops
• Functions
• Reading and writing Files
• lambda, map and filer
• List Comprehension
• Sorting
• Exception handling
• Modules as an alternative to MATLAB
• Numpy
• Matplotlib
• Pandas
Prerequisite
Some programming experience with other high-level programming languages like C/C++, Java, Perl, PHP, Tcl or others. Python knowledge is not necessary.
Trainer
Dipl.-Inf. Bernd Klein (Bodenseo, Singen, Germany)
