Decoding Python Logic: An Interactive Session on Loops and Conditions
€ 150,00
Note for groups: If you are buying this product for multiple participants, you will be able to assign licenses after completing the order. Please select “Group” and the number of seats you require.
- 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.
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