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Python for total Beginners

May 6, 2022 @ 9:00 am 1:00 pm

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.

Thus, we want to offer a weekly Hands-On programming course in Python, to start with basic programming concepts for total beginners and then tackle more advanced topics in the following three appointments.

Course Details:

This course will show you how to install Python on your machine and together we aim to understand the basic concepts of programming in Python. We will have a look into some basic objects in programming such as integers, floats, strings and will cover some concepts such as loops and if-else conditions.

Requirements

No deeper knowledge about programming is necessary for the first course. If you have some preferences and / or  are already familiar with some concepts  of Python or programming in general, join form the second/ third/ fourth course on, or just tell us, so we can shift our focus if many of you are interested in a specific topic.

If you already want to prepare some more, 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

Registration:

Registration is available after login – if you do not have an ISyN-Account yet, create one, using the “Become a member”-Button in the top

Registrations are closed for this event

Nicolas Ruffini

LIR Mainz

Wallstraße 7
Mainz, 55122 Germany