# Book and Tutorial Plan

My upcoming planned books and tutorials.

## Monographs

* Rooftop Solar System
* Soft sensor
* Rice Classification
* DevOps for Embedded Systems

## Popular Books

* Markdown
* A book about flags

## Tutorials

* Instrumentation Lab with Arduino
* Deep Learning with Android

## Tutorial Translation

### Machine Learning

* [ML from Scratch](https://github.com/eriklindernoren/ML-From-Scratch#supervised-learning), License: MIT
* [Machine Learning Experiments](https://github.com/trekhleb/machine-learning-experiments), License: MIT
* [Deep Learning lectures at M2 Data Science Université Paris Saclay](https://github.com/m2dsupsdlclass/lectures-labs) License: MIT
* [Deep Learning - Machine Learning Tokyo (MLT)](https://github.com/Machine-Learning-Tokyo/DL-workshop-series) License: MIT
* [Deep Learning Lecture Notes and Experiments](https://github.com/roatienza/Deep-Learning-Experiments) License: MIT
* [TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow](https://github.com/serengil/tensorflow-101) License: MIT
* [Lectures for INFO8010 - Deep Learning, ULiège](https://github.com/glouppe/info8010-deep-learning) License: BSD
* [STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)](https://github.com/rasbt/stat453-deep-learning-ss20) License: MIT
* [Get SH\*T Done with PyTorch](https://github.com/curiousily/Getting-Things-Done-with-Pytorch) License: Apache

### Python

* [Python The No Theory Guide](https://github.com/iArunava/Python-TheNoTheoryGuide) License: MIT
* [Python Awesome](https://github.com/gautam1858/python-awesome) License: MIT
* [Practical Machine Learning with Python](https://github.com/dipanjanS/practical-machine-learning-with-python) License: Apache

## Books Translation

### Python

* [Full Speed Python](https://github.com/joaoventura/full-speed-python/releases/) License: CC-BY
* [Dive Into Python 3](https://diveintopython3.net/) CC-BY
* [Python for Everybody](https://www.py4e.com/book) License: CC BY (NC for some case)
* [A Byte of Python](https://python.swaroopch.com/) License: CC-BY, already translated to Indonesia
* [Python for Humanities](https://www.karsdorp.io/python-course/) License: CC-BY
* [Akuli Python Tutorial](https://github.com/Akuli/python-tutorial) License: ZLIB
* [Whirlwind Tour of Python](https://nbviewer.jupyter.org/github/jakevdp/WhirlwindTourOfPython/blob/master/Index.ipynb), [GitHub](https://github.com/jakevdp/WhirlwindTourOfPython) License: CC0
* [Practical Python](https://github.com/dabeaz-course/practical-python) License: CC-BY
* [Learning OOP Python](https://github.com/josharsh/Learning-Object-Oriented-Python) License: GPL
* [Programming with Python](https://swcarpentry.github.io/python-novice-inflammation/index.html) License: CC-BY
* [Google Python Tutorial](https://developers.google.com/edu/python/) License: CC-BY
* [Python in a Notebook](https://github.com/leriomaggio/python-in-a-notebook) License: CC-BY
* [Python 3: from None to Machine](https://github.com/AstroMatt/book-python) [Web](https://python.astrotech.io/) License: CC-BY

### Machine Learning

* [Practical Deep Learning for Coders, v3](https://course.fast.ai/), [GitHub](https://github.com/fastai/course-v3), License: Apache
* [Homemade Machine Learning](https://github.com/trekhleb/homemade-machine-learning), License: MIT
* [Machine Learning with Octave](https://github.com/trekhleb/machine-learning-octave), License: MIT
* [Free and Open Machine Learning Book](https://freeandopenmachinelearning.readthedocs.io/en/latest/#) License: CC-BY
* [Introduction to Scientific Computing in Python](https://github.com/jrjohansson/scientific-python-lectures) License: CC-BY
* [Scipy Lectures](https://scipy-lectures.org/) License: CC-BY
* [Dive into Deep Learning](https://d2l.ai/) License: CC-BY
* [Introduction to computing with Python for engineering and scientific applications](https://github.com/CambridgeEngineering/PartIA-Computing-Michaelmas) License: CC-BY
* [Introduction to Deep Neural Networks with Keras and Tensorflow](https://github.com/leriomaggio/deep-learning-keras-tensorflow) License: MIT
* [Python ML Course](https://github.com/leriomaggio/python-ml-course) License: MIT
* [CS231 Stanford Convolutional Neural Networks for Visual Recognition](https://github.com/cs231n/cs231n.github.io) [Course Page](https://vision.stanford.edu/teaching/cs231n/syllabus.html) License: MIT
* [Course in Machine Learning](https://github.com/hal3/ciml/) [CIML in PDF](https://ciml.info/dl/v0_99/ciml-v0_99-all.pdf) License: GPL, file type: .tex
* [Deep School IO](https://github.com/sachinruk/deepschool.io) License: Apache
* [Keras Tutorial](https://github.com/jfsantos/keras-tutorial) License: MIT
* [Notes on Deep Learning Book](https://github.com/hadrienj/deepLearningBook-Notes) License: MIT
* [Fast Book by fastai](https://github.com/fastai/fastbook) License: GPL
* [First-steps-towards-Deep-Learning](https://github.com/vaibhawvipul/First-steps-towards-Deep-Learning) License: GPL
* [Learn Deep Reinforcement Learning in 60 days](https://github.com/andri27-ts/Reinforcement-Learning) License: MIT
* [Course T81-558: Applications of Deep Neural Networks](https://github.com/jeffheaton/t81_558_deep_learning) License: Apache
* [Lab Materials for MIT 6.S191: Introduction to Deep Learning](https://github.com/aamini/introtodeeplearning) License: MIT
* [Deep Learning with TensorFlow 2 and Keras](https://github.com/ageron/tf2_course) License: Apache
* [PyTorch Deep Learning Bootcamp](https://github.com/QuantScientist/Deep-Learning-Boot-Camp) License: MIT
* [Hacker's Guide to Machine Learning with Python](https://github.com/curiousily/Deep-Learning-For-Hackers) License: MIT
* [A walk with fastai2](https://github.com/muellerzr/Practical-Deep-Learning-for-Coders-2.0) License: MIT

### Data Science

* [Learn Data Science](https://github.com/nborwankar/LearnDataScience) License: BSD
* [Python Data Science](https://github.com/leriomaggio/python-data-science) License: LGPL

### Maths

* [Interactive Linear Algebras](https://textbooks.math.gatech.edu/ila/index.html) License: GPL/GFDL
* [Discover Linear Algebra](https://sites.ualberta.ca/~jsylvest/books/dla.html) License: GFDL
* [Modeling, Functions, and Graphs Algebra for College Students](https://yoshiwarabooks.org/mfg/) License: GFDL
* [Trigonometry](https://yoshiwarabooks.org/trig/) License: GFDL
* [Elementary Algebra](https://yoshiwarabooks.org/elem-alg/) License: GFDL
* [Understanding Linear Algebra](https://merganser.math.gvsu.edu/david/linear.algebra/ula/ula/ula.html) License: CC-BY
* [Active Prelude to Calculus](https://activecalculus.org/APC.html) License: CC-BY
* [Active Calculus Multivariable](https://activecalculus.org/ACM.html) License: CC-BY
* [Active Calculus](https://activecalculus.org//ACS.html) or [this](https://activecalculus.org/single/frontmatter.html) License: CC-BY
* [Calculus Lab Manual](https://spaces.pcc.edu/display/MS/Calculus+Lab+Manuals) or [this](https://spot.pcc.edu/math/clm/clm.html) License: CC-BY
* [Discrete Mathematics](https://discrete.openmathbooks.org/dmoi3.html) License: CC-BY

### Digital Signal Processing

* [Kalman and Bayesian Filter in Python](https://github.com/rlabbe/Kalman-and-Bayesian-Filters-in-Python) License: CC-BY
* [Digital Signal Processing Lecture](https://github.com/spatialaudio/digital-signal-processing-lecture) License: CC-BY
* [A Compact Primer on Digital Signal Processing](https://github.com/jackschaedler/circles-sines-signals) [Web](https://jackschaedler.github.io/circles-sines-signals/) License: Eclipse Public License

### Education

* [Teaching and Learning with Jupyter](https://jupyter4edu.github.io/jupyter-edu-book/) License: CC-BY

### Computer Science

* [Algorithms and Data Structures](https://github.com/Bradfield/algos) [Web](https://bradfieldcs.com/algos/) License: CC0

### Electrical Engineering

* [Lesson of Electrical Circuit](https://www.ibiblio.org/kuphaldt/electricCircuits/) License: Design Science License, [All About Circuit Version](https://www.allaboutcircuits.com/textbook/)
* [All about Circuits Worksheets](https://www.allaboutcircuits.com/worksheets/) License: CC-BY
* [Fundamentals of Electrical Engineering I](https://open.umn.edu/opentextbooks/textbooks/fundamentals-of-electrical-engineering-1) License: CC-BY
* [Socratic Electronics](https://www.ibiblio.org/kuphaldt/socratic/index.html) License: CC-BY

### Others

* [Working-with-Climate-Data-in-Python](https://github.com/MarieHofmann/Working-with-Climate-Data-in-Python) License: CC-BY


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