Bottom-up pedagogical approach: Start with concrete examples and build general principles for effective learning
No prior programming experience required: Accessible to beginners and students new to coding
Comprehensive coverage of Python basics: Includes syntax, data structures, input/output, functions, and visualization
Hands-on with JupyterLab and Spyder: Learn Python interactively using two popular IDEs
Major scientific libraries included: Explore NumPy, SciPy, Matplotlib, Pandas, and Numba for real-world applications
Summarized by Shop
Introduction to Python for Science and Engineering offers a quick and incisive introduction to the Python programming language for use in any science or engineering discipline. The approach is pedagogical and “bottom up,” which means starting with examples and extracting more general principles from that experience. No prior programming e
Format
E-Book
Language
English
Target Audience
All ages, suitable for science and engineering disciplines