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Programming and Plotting in Python for Beginners with prior knowledge

November 5 @ 9:00 am November 26 @ 1:00 pm

Offline course for four groups, each at one friday in november.

Motivation

Python is a general-purpose, versatile and popular programming language, that is becoming increasingly popular in science , for machine learning application and for general scripting and data analysis purposes. It’s great as a first language because it is concise and easy to read. However, finding motivation to learn Python or even to consolidate learned skills after joining a workshop, can be hard.

As we had more registrations than we could handle for the advanced programming course and no registrations were made for plotting only, we decided to separate all registrations into four groups instead of two groups. Consequently, we can arrange four appointments with each approx. ten participants in november for learning both, programming in Python for users with some prior knowledge and usage of some of the most useful libraries in Python for data handling and plotting.

Course Details:

This course will show you some more advanced concepts when programming with Python. We will load additional packages in Python, and install third-party packages using pip. We will further focus on loading and working with tables using pandas and plotting with seaborn and matplotlib.

Requirements

Some knowledge about basic concepts of programming is helpful for this second course.

For this course, you should already have Python installed on your machine.

Try to install Python here (basic Python):
https://www.python.org/downloads/

Or here (including some helpful packages and package managing):
https://www.anaconda.com/products/individual

You can also start getting familiar with Python, e.g. using one of these online courses:
https://www.datacamp.com/courses/intro-to-python-for-data-science
https://www.codecademy.com/learn/learn-python-3

Correspondence:

For questions write to:

Nicolas Ruffini Nicolas.ruffini@lir-mainz.de

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