Temas relacionados
Este curso incluye
- 11 h 21 min de vídeo
- 20 lecciones
- Nivel: Intermedio
- Idioma: English
- Recordamos dónde lo dejaste
- Gratis por completo, sin tarjeta
Lecciones
2 secciones · 20 lecciones · 11 h 21 min duración total
Lecciones 1 a 1010 lecciones · 6 h 58 min
- Basics of Python: Part 1 - Introduction5 min
- Basics of Python: Part 2 - Lists, Tuples, Arrays13 min
- Basics of Python: Part 3 - Loops, If Statements11 min
- Basics of Python: Part 4 - Sample Problems8 min
- NumPy Tutorial: For Physicists, Engineers, and Mathematicians1 h 33 min
- SciPy Tutorial: For Physicists, Engineers, and Mathematicians1 h 33 min
- Matplotlib Tutorial: For Physicists, Engineers, and Mathematicians48 min
- SymPy Tutorial (2022): For Physicists, Engineers, and Mathematicians1 h 8 min
- 1st Year Calculus, But in PYTHON32 min
- 2nd Year Calculus, But in PYTHON47 min
Lecciones 11 a 2010 lecciones · 4 h 23 min
- Derivatives In PYTHON (Symbolic AND Numeric)18 min
- Integration in PYTHON (Symbolic AND Numeric)15 min
- How to Solve Differential Equations in PYTHON24 min
- All Types of Fourier Transforms in PYTHON31 min
- How To Interpolate Data In Python15 min
- Curve Fitting in Python (2022)25 min
- How to: Monte Carlo Simulation in Python (Introduction)27 min
- Spectral Analysis in Python (Introduction)42 min
- You Should Be Using This For Work/Research in Python | OOP Tutorial34 min
- SciPy curve_fit: What is "pcov"?31 min
Qué necesitas
- Ayuda tener base: el curso sigue a partir de lo básico.
Descripción
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:
Para quién es este curso
- Quien ya conoce lo básico de Python.
Esos dos puntos son nuestra lectura del nivel. La descripción es del autor.