Practical Python Wavelet Transforms (I): Fundamentals
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 ChGenre: eLearning | Language: English + srt | Duration: 17 lectures (2h 5m) | Size: 1.25 GB

World-real Projects with PyWavelets, Jupyter notebook, Pandas and Many More

Difference between series and Signals
Basic concepts on waves
Basic concepts of Fourier Transforms
Basic concepts of Wavelet Transforms
Classification and applications of Wavelet Transforms
Setting up Python wavelet transform environment
Built-in Wavelet Families and Wavelets in PyWavelets
Approximation discrete wavelet and scaling functions and their visuliztion

Basic Python programming experience needed
Basic knowledge on Jupyter notebook, Python data analysis and visualiztion are advantages, but are not required

The Wavelet Transforms (WT) or wavelet analysis is probably the most recent solution to overcome the shortcomings of the Fourier transform, which transform a signal in period (or frequency) without losing resolution.

Learn How to Paint FIREWORKS and LIGHTS on night scenes with GOUACHE
File Size :531MB
In this class you will learn how to use gouache correctly, we are going to go deep into tips and tricks to use also warm up exercises for your hand and different practices before doing our final project which is a fireworks scene, this class is ideal for begginers and also advance students that want to learn how to add light in your gouache illustrations. 

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