About the Book

#1 About the book

This book comes from my experience teaching Python in a variety of settings and through different stages of its (and my) development. Much of the material has been taken from multiple drafts that I wrote on machine learning and data science as well as the Python Programming drafts too that I wrote through my blog. I’m looking forward to teaching Python to people as long as people will let me, and I’m interested in seeing how the next generation of students will approach it (and how my approach to them will change). Overall, it’s been just an amazing experience to see the widespread adoption of Python over the past decade. I’m sure the next decade will be just as amazing.

#2 How this book is Organized?

This book is not a part-based structured, it is an Iteration-based structured. Each Iteration is meant to teach you a specific thing in Data Science, for example:

1. Iteration One: Introduction to Data Science.
2. Iteration Two: Python.
3. Iteration Three: Jupyter.
4. Iteration Four: Numpy.
5. Iteration Five: Pandas.
6. Iteration Six: Matplotlib.
7. Iteration Seven: SKLearn.
8. Iteration Eight: Finals.

#3 Iterations Done So Far...

The book is on going progress, so we have done the first seven iterations out of eight, and soon will publish the third. Stay tuned for the sheets coming with the book and the updates with the latest tech...

#4 Updated Regularly???

If you bought one of my books, you will find that those books are updated monthly, based on calendar schedule, we do set the next book that will be updated. So, you should subscribe to the readers mail to get info about the next updated book.

About the Author

Hisham El-Amir

@hisham_elamir

Hisham Elamir is a data scientist with expertise in machine learning, deep learning, and statistics. He currently lives and works in Cairo, Egypt. In his work projects, he faces challenges ranging from natural language processing (NLP), behavioral analysis, and machine learning to distributed processing. He is very passionate about his job and always tries to stay updated about the latest developments in data science technologies, attending meet-ups, conferences, and other events.