84 lines
4.4 KiB
Markdown
84 lines
4.4 KiB
Markdown
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# Relevant topics for the lectures are
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* Object Orientated Programming (i.e. Classes)
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* Type Annotation
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* Data Class
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* Error Handling Try/Except
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* Pandas
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* Low-Pass, High-Pass, Band-Pass
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* Wavelet (& Hilbert)
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* PCA, ICA, SVD, ROC, SVM, K-NN, K-Means
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* Symbolic Calculation with SymPy, Numerical mathematics (Differential equations, integration)
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* OpenCV2
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Everything should be covered on this website.
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## Youtube
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However, if you like to watch stuff:
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**Object Orientated Programming**
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* Python Classes and Objects - OOP for Beginners [https://www.youtube.com/watch?v=f0TrMH9s-VE](https://www.youtube.com/watch?v=f0TrMH9s-VE)
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* OOP Class Inheritance and Private Class Members [https://www.youtube.com/watch?v=6c6NYPjO_rI](https://www.youtube.com/watch?v=6c6NYPjO_rI)
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* You Should Be Using This For Work/Research in Python | OOP Tutorial [https://www.youtube.com/watch?v=TcaUL1uqG_k](https://www.youtube.com/watch?v=TcaUL1uqG_k)
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**Type Annotation**
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* Type Hinting - Advanced Python Tutorial #6 [https://www.youtube.com/watch?v=6KidYEtspNc](https://www.youtube.com/watch?v=6KidYEtspNc)
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* Python Type Hinting and Type-Checking Crash Course with mypy [https://www.youtube.com/watch?v=_n22NZwAyo0](https://www.youtube.com/watch?v=_n22NZwAyo0)
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**Data Class**
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* How To Use: "@dataclass" In Python [https://www.youtube.com/watch?v=mVea6Mu15l8](https://www.youtube.com/watch?v=mVea6Mu15l8)
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**Try/Except**
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* Python Beginner Tutorial #8 - Exception Handling [https://www.youtube.com/watch?v=uVJx6hU3V20](https://www.youtube.com/watch?v=uVJx6hU3V20)
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**Pandas**
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* [https://www.youtube.com/watch?v=zN2Hua6oII0](https://www.youtube.com/watch?v=zN2Hua6oII0)
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**Low/Band/High Pass Filter**
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* Fourier [https://www.youtube.com/watch?v=spUNpyF58BY](https://www.youtube.com/watch?v=spUNpyF58BY)
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* Applied DSP No. 8: Filtering via Fast Fourier Transform [https://www.youtube.com/watch?v=u8t-h31baFE](https://www.youtube.com/watch?v=u8t-h31baFE)
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* Applied DSP No. 6: Digital Low-Pass Filters [https://www.youtube.com/watch?v=I8_E1ppC3-Q](https://www.youtube.com/watch?v=I8_E1ppC3-Q)
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**Wavelets**
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* Wavelets: a mathematical microscope [https://www.youtube.com/watch?v=jnxqHcObNK4](https://www.youtube.com/watch?v=jnxqHcObNK4)
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**SVD**
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* Singular Value Decomposition (SVD): Overview [https://www.youtube.com/watch?v=gXbThCXjZFM](https://www.youtube.com/watch?v=gXbThCXjZFM)
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* Singular Value Decomposition (SVD): Mathematical Overview [https://www.youtube.com/watch?v=nbBvuuNVfco](https://www.youtube.com/watch?v=nbBvuuNVfco)
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**PCA**
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* Principal Component Analysis (PCA) [https://www.youtube.com/watch?v=fkf4IBRSeEc](https://www.youtube.com/watch?v=fkf4IBRSeEc)
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* Principal Component Analysis (PCA) [https://www.youtube.com/watch?v=Oi4SJqJIL2E](https://www.youtube.com/watch?v=Oi4SJqJIL2E)
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**ICA**
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* Independent Component Analysis (ICA) [https://www.youtube.com/watch?v=GgLaP4Des1Q](https://www.youtube.com/watch?v=GgLaP4Des1Q)
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**k-NN**
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* Python Machine Learning Tutorial #3 - K-Nearest Neighbors Classification [https://www.youtube.com/watch?v=LwTIHEnnCAM](https://www.youtube.com/watch?v=LwTIHEnnCAM)
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**SVM**
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* Python Machine Learning #4 - Support Vector Machines [https://www.youtube.com/watch?v=99Eyw7Quacc](https://www.youtube.com/watch?v=99Eyw7Quacc)
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**k-means clustering**
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* Python Machine Learning Tutorial #6 - K-Means Clustering [https://www.youtube.com/watch?v=Hoy6iJW5ryM](https://www.youtube.com/watch?v=Hoy6iJW5ryM)
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**Symbolic calculation with SymPy**
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* SymPy is REVOLUTIONARY For Mathematical Tasks [https://www.youtube.com/watch?v=yCuVBd4N4nY](https://www.youtube.com/watch?v=yCuVBd4N4nY)
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**numerical mathematics**
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* Derivatives In PYTHON (Symbolic AND Numeric) [https://www.youtube.com/watch?v=DeeoiE22bZ8](https://www.youtube.com/watch?v=DeeoiE22bZ8)
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* Integration in PYTHON (Symbolic AND Numeric) [https://www.youtube.com/watch?v=2I44Y9hfQ4Q](https://www.youtube.com/watch?v=2I44Y9hfQ4Q)
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* How to Solve Differential Equations in PYTHON [https://www.youtube.com/watch?v=MM3cBamj1Ms](https://www.youtube.com/watch?v=MM3cBamj1Ms)
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**OpenCV2**
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* OpenCV Python Tutorial #1 - Introduction & Images [https://www.youtube.com/watch?v=qCR2Weh64h4](https://www.youtube.com/watch?v=qCR2Weh64h4)
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* OpenCV Python Tutorial #2 - Image Fundamentals and Manipulation [https://www.youtube.com/watch?v=wlYPhdTbRmk](https://www.youtube.com/watch?v=wlYPhdTbRmk)
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* OpenCV Python Tutorial #3 - Cameras and VideoCapture [https://www.youtube.com/watch?v=rKcwcARdg9M](https://www.youtube.com/watch?v=rKcwcARdg9M)
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