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Product Overview

Decoding Python Logic: An Interactive Session on Loops and Conditions

 150,00

In stock

  • Scope: 1,5h interactive session on Loops and Conditions
  • Level: All
  • Format: Online

This training is available on demand. Please contact Rosina Preis via rosina.preis@eitmanufacturing.eu for further information.

In stock

Description

Dive into the dynamic world of Python programming with our online training “Decoding Python Logic: An Interactive Session on Loops and Conditions”. Join us for an engaging session where we unravel the intricacies of Python’s looping structures and conditions, empowering you to optimize your code for maximum efficiency. Through real-time examples, hands-on exercises, and expert insights, this webinar is designed to elevate your coding prowess, ensuring you leave with a comprehensive understanding of how to implement and leverage loops and conditions in Python, one of the most important main building blocks in the programming environment. This session promises an immersive experience that will transform your approach to Python programming.

This training is part of the learning path “Industrial Data Science” and may be combined with other sessions.

Main learning outcomes:

  • Demonstrate proficiency in implementing various Python looping structures, including ‘for’ and ‘while’ loops, effectively applying them to solve diverse programming challenges. 
  • Gain a deep understanding of Python’s conditional statements, such as ‘if,’ ‘else,’ and ‘elif,’ and exhibit the ability to construct logical expressions for effective decision-making in their code. 
  • Learn to use loops and conditions strategically to optimize code efficiency, enhancing their ability to write concise and effective Python programs
  • Develop the skills to apply looping structures and conditions to solve real-world programming challenges, fostering a problem-solving mindset

Who is this training for:

  • Business analysts
  • Industrial, mechanical and civil engineering students and alumni
  • Practitioners without knowledge of data science

Programme

“Decoding Python Logic: An Interactive Session on Loops and Conditions” is a 1,5h online training which will include the following topics:

  • Introduction to Loops and Conditions – 30 minutes
  • Practice Section supported by industry experts – 60 minutes

After the training, the course materials and training will be available on demand. For on-demand training and further information, please contact Rosina Preis via rosina.preis@eitmanufacturing.eu.

Lecturers

Traner 1: Dipl.-Ing. Linus Kohl

Linus Kohl works as a research associate at TU Wien and Project Manager at Fraunhofer Austria. He has experience in leading and managing research projects involving topics related to predictive and prescriptive maintenance, data analytics and developing novel machine learning solutions.

Trainer 2: Dipl.-Ing. Theresa Madreiter

Theresa Madreiter works as a research associate at TU Wien and Fraunhofer Austria. She has experience in leading and managing research projects. Her focus is on utilizing data for improved maintenance solutions, with a specialty in predictive maintenance and the analysis of unstructured data.

Contact

Rosina Preis
Rosina PreisCompetence and Knowledge Manager for EU Projects CLC East

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