Programming and Software Engineering
Guided Lab
GLB-PASE-CFP.v1
Control Flow in Python – Conditional & Iterative Statements Explained
This guided lab explores Python’s control flow mechanisms, including conditional and loop statements. Participants will work on hands-on coding exercises to master decision-making, iteration, and nested structures for efficient problem-solving.
This Course Includes:
3 hours on-demand video
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4 Articles
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8 Downloadable Resources
Access on mobile & TV
Free One Year Access To Live Courses*
Certificate of completion
Course Curriculum & Resources
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if, elif, and else Basics
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Nested Conditionals and Logical Operators
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Common Pitfalls in Conditional Logic
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for Loops & Iterating Over Sequences
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while Loops & Loop Control Statements
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Optimizing Loops for Performance
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Using break, continue, and pass Effectively
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Looping with List Comprehensions
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Real-World Applications & Best Practices
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Instructor Info
- Instructor Code: ABM07
- Specialty: Cloud, Data Science & GenAI Expert
- Experience: Worked with Microsoft, JO Morgan Chase, Deloitte Consulting in the USA
- Education: Holds an MS in Data Analytics Engineering from George Mason University, USA, and an MTech in Biomedical Engineering from IIT Bombay.
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Frequently Asked Questions
Basic Python knowledge is recommended, but the lab includes guided exercises for beginners.
Yes, the lab includes hands-on challenges and mini-projects based on real-world scenarios.
It will enhance your ability to write efficient, error-free control flow structures in Python.
Python, Jupyter Notebooks, online coding environments, and debugging tools.
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Control Flow in Python – Conditional & Iterative Statements Explained
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