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What customers say ...


For beginners, it is an ideal course/introduction. Good teacher, very good teaching materials and nice practical examples.

Dauwe Kristof about the course "Python for Programmers" more...


Dr. Müller is (a) very good teacher .. (I) would highly recommend this course and also Dr. Müller for this course.

Dhiraj Surve, Suzlon.com about the course "Python for Programmers" more...


Very good course, excellent content. Does require a strong python background which I lacked so perhaps my experience was not typical. Still I learned a very great deal.

Keith Bord, Oracle about the course "Advanced Python" more...


I can absolutely recommend this course to everybody who wants to become productive with Python very quickly. ...

Dr. med. Beat Meister, Bern, Switzerland more...


Mike is a great professor. He has an amazing knowledge of Python. It has been a pleasure to be his student for 3 days!

David Doblas about the course "Python for Scientists and Engineers" more...


Advanced Python Training at PyConLT 2019

Registration

The registration is open.

Motivation

Want a warm-up to PyCon LT? We are delighted to announce an advanced Python one-day workshop run by Mike Müller of Python Academy.

Intended Audience

The workshop is for intermediate Python programmers who would like to make it onto the advanced level and learn how to take full advantage of this powerful language.

Course Content

Python offers several advanced concepts. It is possible to write useful Python programs without them. But if you want to really understand how Python works and how to write really pythonic programs, you should know about these topics:

  • Comprehensions
  • Iterators and generators
  • Decorators
  • Context managers

Comprehensions

The principle comes from the functional language Haskell but integrates very well into Python. After list comprehension came generator expressions followed by dictionary and set comprehensions.

The course introduces this style of programming with examples focusing on advantages and disadvantages for certain tasks.

Iterators and Generators

Iterators and generator make lazy evaluation, that is generating an object just when it is needed, very convenient. The concept of yielding instead of returning plays a central role. The course shows how to use generators to simplify programming tasks. Furthermore, coroutines will be used to implement concurrent solutions. An overview over the itertools module shows how to elegantly solve iteration tasks.

Decorators

Decorator provide a very useful method to add functionality to existing functions and classes. The course uses examples for caching, proxying, and checking of arguments to demonstrate how decorators can improve code readability and can simplify solutions.

Context Managers

The with statement helps to make code more robust by simplifying exception handling. The course shows how to use the with statement with the standard library and how to write your own objects that take advantage of with. The contextlib from the standard library helps to make this easier.

Methodology

The workshop covers all topics in detail using code examples that will be immediately useful for your daily work. Carefully crafted exercises help you to experience the learnt material. You will get detailed solutions for all exercises after the training.

The Trainer

The workshop content and teaching concept is based on numerous advanced Python classes taught by Dr. Mike Müller including in-house courses and the successful courses at EuroPython 2012 and 2013, PyConPL 2012, PyCon DE 2013 and 2017, PyCon IE 2013, 2014, 2016, 2018 and PyCon North America in Montrèal, Canada 2014 as well as PyUnConf 2015.

Mike taught more than 380 Python classes with well over 960 training days.

Prerequisites

Bring your laptop with Python 3.7 installed for an intensive, hands-on workshop with real-life examples. The course will use the Jupyter Notebook. It is recommend to install it for a better course experience. You can also use your favorite (interactive) Python environment and editor. The easiest was is to install Miniconda and than:

conda install jupyterlab

Course Duration

1 day, 24th May 2019

Course Location

SMK Socialinių mokslų kolegija, Kalvarijų gatvė, Vilnius, Lietuva

Exercises

The participants can follow all steps directly on their computers. There are exercises at the end of each unit providing ample opportunity to apply the freshly learned knowledge.

Course Material

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

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The Python Academy is sponsor of PyCon.DE 2019.

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The Python Academy is sponsor of PythonCamp Köln 2018.

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The Python Academy is sponsor of PyCon US 2017.

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The Python Academy is sponsor of EuroPython 2015.

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The Python Academy is sponsor of PyConDE 2013.

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The Python Academy is sponsor of PyConPL 2012.

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