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Course curriculum and delivery absolutely goal-oriented very understandable. Highly recommended!!!

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Good course. Very competent trainer for this introduction. The course offers wide spectrum of topics and goes into depth were participants need it most.

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I highly recommend these courses. The trainer is superb.

Dr. Kai Irschik, Ocean Breeze Energy GmbH & Co. KG about the courses "Python for Programmers" and "Python for Scientists and Engineers" more...


[The trainer] knows well what scientists need, so his hints are very practical and valuable. The hands-on course [..] covers a wide range of examples and will be very helpful in my daily work. ..

Dorota Jarecka, University of Warsaw, Poland about the course "Python for Scientists and Engineers" more...


The course "Python for Scientists and Engineers" is a very useful introduction to Python programming for scientific applications ...

Dr. Mihai Duta, Oxford Supercomputing Centre, UK more...


Course: Python for Programmers

Dates for Open Courses

Location Date Course Language
Leipzig March 09 - 12, 2021 Python for Programmers English register
Remote March 09 - 12, 2021 Python for Programmers English register

Course also available as in-house training. Please ask us at info@python-academy.de

Intended Audience

This course is designed for participants with (some) programming experience. Have you written programs in Java, C# or even Basic, or FORTRAN? Even if you haven't written any code for several years, this course is for you. A basic understanding of programming is required. Terms such as variable, data type or loop should be familiar.

Alternatively: If you already took the course Python for Non-Programmers this course will be the logical next step.

Course Content

The course covers all basics of Python programming including:

  • Python in comparison with other languages
  • Python syntax
  • Statements and expressions
  • Control flow
  • Loops
  • Data types
  • Sequences
  • Dictionaries and sets
  • Functions
  • Generators and iterators
  • Classes
  • Exception handling
  • Input / output
  • Complex example
  • Modules and Packages
  • Namespaces and scoping
  • Text processing
  • System functions

In addition to this systematic overview, the training uses a complex example that contains all important parts of a Python program. This example showcases several best practices for efficient Python programming. Participants will learn how to read and understand Python code written by other programmers.

Course Duration

4 days

Exercises

Course Material

Every participant receives comprehensive printed materials that cover the whole course content as wells as all source codes and used software.

Costs

See prices.

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