24BSE2113D- Partial Differential Equation, Transform and Optimization
Computational Methods for Electronics & Robotics Lab
1 Welcome to the Computational Methods Lab
This interactive lab manual is designed for third-semester B.Tech students in Electronics and Robotics. The goal of this course is to introduce powerful computational techniques for solving common engineering problems using the Python programming language.
1.1 Do you really need to be a successful Robotics Engineer?
1.2 How do you approach learning coding in 2025?
1.3 Why Python?
While MATLAB is a traditional tool in engineering, Python has become the industry standard in modern robotics, machine learning, and data science. By learning Python, you are acquiring a versatile skill that is highly sought after in today’s tech landscape. It’s free, open-source, and has a vast ecosystem of libraries that we will leverage throughout this course.
1.4 Software Setup
Before you begin, please ensure you have the following installed on your system. We highly recommend installing the Anaconda Distribution, which packages Python and all the necessary libraries together.
- Python 3.8+
- NumPy: For numerical operations.
- Matplotlib: For plotting and visualization.
- SymPy: For symbolic mathematics (algebra and calculus).
- SciPy: For scientific computing, including optimization.
You can run the code in this book interactively by using a Jupyter Notebook or an IDE like Spyder or VS Code with Python extensions.