中Whether you’re a scientist, engineer, student, or industry professional working with data or quantitative tasks, this course is your gateway to solving real-world problems with Python. Designed for beginners, no prior programming experience is required. We start with the basics and build up to powerful tools and techniques used every day in research and industry. You’ll learn how to fit data to custom models, automate repetitive tasks, create clear and professional visualizations, work efficiently with arrays, solve optimization problems, integrate and differentiate mathematical functions, and more using essential libraries like NumPy and SciPy.
Introduction to Python for Scientific Computing
您将学到什么
Apply Python programming concepts to develop structured, efficient code for scientific analysis
Perform numerical and symbolic computations using Python libraries to solve real-world scientific problems
Visualize data effectively using Python’s plotting libraries
Select and apply appropriate Python tools and techniques to model, analyze, and solve scientific problems
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最近已更新！
July 2025
作业
4 项作业
授课语言：英语（English）
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该课程共有4个模块
This module lays the groundwork for using Python in scientific computing. You’ll get familiar with Python's syntax and basic concepts, including variables, data types, type conversions, and how to use Python as a powerful calculator. We’ll also introduce you to objects, methods, attributes, and basic plotting so you can begin working with data early in your journey.
涵盖的内容
14个视频1篇阅读材料1个作业1个编程作业1个讨论话题1个非评分实验室
Building on the basics, this module introduces programming logic and modular thinking. You’ll explore Python’s control flow tools—like loops and conditionals—and learn how to write reusable, well-structured functions. We’ll also discuss debugging strategies to help you troubleshoot your code more effectively.
涵盖的内容
11个视频1个作业1个编程作业1个非评分实验室
This module focuses on working with structured numerical data. You’ll learn how to manipulate arrays using NumPy, perform matrix operations, and fit mathematical models to data. You’ll also explore Python’s visualization capabilities to create effective 2D and 3D plots for scientific communication.
涵盖的内容
8个视频1个作业1个编程作业1个非评分实验室
In this final module, you’ll explore powerful numerical and symbolic tools in Python. Topics include solving equations, optimization, curve fitting, and numerical integration. These skills are essential for tackling complex scientific problems and performing high-level data analysis.
涵盖的内容
9个视频1个作业1个编程作业1个非评分实验室
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