课时
2 个部分 · 20 节课 · 11小时21分钟 总时长
第 1 至 10 节10 节课 · 6小时58分钟
- Basics of Python: Part 1 - Introduction5分钟
- Basics of Python: Part 2 - Lists, Tuples, Arrays13分钟
- Basics of Python: Part 3 - Loops, If Statements11分钟
- Basics of Python: Part 4 - Sample Problems8分钟
- NumPy Tutorial: For Physicists, Engineers, and Mathematicians1小时33分钟
- SciPy Tutorial: For Physicists, Engineers, and Mathematicians1小时33分钟
- Matplotlib Tutorial: For Physicists, Engineers, and Mathematicians48分钟
- SymPy Tutorial (2022): For Physicists, Engineers, and Mathematicians1小时8分钟
- 1st Year Calculus, But in PYTHON32分钟
- 2nd Year Calculus, But in PYTHON47分钟
第 11 至 20 节10 节课 · 4小时23分钟
- Derivatives In PYTHON (Symbolic AND Numeric)18分钟
- Integration in PYTHON (Symbolic AND Numeric)15分钟
- How to Solve Differential Equations in PYTHON24分钟
- All Types of Fourier Transforms in PYTHON31分钟
- How To Interpolate Data In Python15分钟
- Curve Fitting in Python (2022)25分钟
- How to: Monte Carlo Simulation in Python (Introduction)27分钟
- Spectral Analysis in Python (Introduction)42分钟
- You Should Be Using This For Work/Research in Python | OOP Tutorial34分钟
- SciPy curve_fit: What is "pcov"?31分钟
需要什么
- 有基础更好:课程从基础之后讲起。
课程介绍
In a series of tutorial videos. we will go from knowing a little bit about python/programming to being able to derive, analyze, and solve complicated mathematical models using libraries such as numpy, scipy, sympy, and so much more. This is a HANDS ON TUTORIAL. You need to open yourself up an interactive notebook, and not only code along, but experiment with various things. ENSURE that you understand something fully before moving on. All code located here:
适合谁
- 已掌握Python基础、想更进一步的人。
这两项是我们根据课程难度得出的判断,课程介绍是作者本人写的。