Python for Engineers

Learn Python basics for engineers, including integers, floats, complex numbers, booleans, strings, and type conversions; master variables, control flow, and common data structures, then simulate a one-dimensional particle trajectory.

Learn practical pandas techniques for engineers, from creating and inspecting data frames to handling missing data with drop, fill, rolling mean, and linear or quadratic interpolation.

Explore plotting with matplotlib by creating line plots, scatter plots colored by species, and histograms from the iris data. Compare Altair’s declarative, interactive approach with tooltips for exploratory data analysis.

Explore object oriented programming in Python by modeling real world objects with classes and instances, using constructors, inheritance, and methods such as area and color.

simulate and visualize a frictionless spring-mass system using Python and pi game, starting from a 500 position with 100 displacement, updating x, velocity, and acceleration under F = -k x.

Explore mnist digit classification with scikit-learn, using svm with linear, radial, and polynomial kernels, train-test splits, and the option to switch to an mlp classifier for improved accuracy.