Verwandte Themen
Der Kurs enthält
- 11 Std. 21 Min. Video
- 20 Lektionen
- Niveau: Mittelstufe
- Sprache: English
- Wir merken uns, wo du warst
- Komplett kostenlos, ohne Karte
Lektionen
2 Abschnitte · 20 Lektionen · 11 Std. 21 Min. Gesamtlänge
Lektionen 1–1010 Lektionen · 6 Std. 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 Std. 33 Min.
- SciPy Tutorial: For Physicists, Engineers, and Mathematicians1 Std. 33 Min.
- Matplotlib Tutorial: For Physicists, Engineers, and Mathematicians48 Min.
- SymPy Tutorial (2022): For Physicists, Engineers, and Mathematicians1 Std. 8 Min.
- 1st Year Calculus, But in PYTHON32 Min.
- 2nd Year Calculus, But in PYTHON47 Min.
Lektionen 11–2010 Lektionen · 4 Std. 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.
Was du brauchst
- Grundlagen helfen: der Kurs setzt hinter den Basics an.
Beschreibung
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:
Für wen dieser Kurs ist
- Alle, die die Grundlagen von Python kennen.
Diese beiden Punkte sind unsere Einschätzung aus dem Niveau. Die Beschreibung stammt vom Autor.