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This course includes
- 11h 21m of video
- 20 lessons
- Level: Intermediate
- Spoken in English
- Your place is remembered
- Free in full, no card
Lessons
2 sections · 20 lessons · 11h 21m total length
Lessons 1 to 1010 lessons · 6h 58m
- Basics of Python: Part 1 - Introduction5m
- Basics of Python: Part 2 - Lists, Tuples, Arrays13m
- Basics of Python: Part 3 - Loops, If Statements11m
- Basics of Python: Part 4 - Sample Problems8m
- NumPy Tutorial: For Physicists, Engineers, and Mathematicians1h 33m
- SciPy Tutorial: For Physicists, Engineers, and Mathematicians1h 33m
- Matplotlib Tutorial: For Physicists, Engineers, and Mathematicians48m
- SymPy Tutorial (2022): For Physicists, Engineers, and Mathematicians1h 8m
- 1st Year Calculus, But in PYTHON32m
- 2nd Year Calculus, But in PYTHON47m
Lessons 11 to 2010 lessons · 4h 23m
- Derivatives In PYTHON (Symbolic AND Numeric)18m
- Integration in PYTHON (Symbolic AND Numeric)15m
- How to Solve Differential Equations in PYTHON24m
- All Types of Fourier Transforms in PYTHON31m
- How To Interpolate Data In Python15m
- Curve Fitting in Python (2022)25m
- How to: Monte Carlo Simulation in Python (Introduction)27m
- Spectral Analysis in Python (Introduction)42m
- You Should Be Using This For Work/Research in Python | OOP Tutorial34m
- SciPy curve_fit: What is "pcov"?31m
What you need
- Some grounding helps; this one picks up past the basics.
Description
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:
Who this course is for
- People who know the basics of Python and want to go further.
Those two are our reading of the course's level. The description is the author's own.