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Learn Python Part I: Learn Python Programming Basics
This series will introduce you to the Python programming language. It’s aimed at beginning programmers, but even if you’ve written programs before and just want to add Python to your list of languages, Introducing Python will get you started.
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About the Book
Welcome to the first book in this Week End Series, this series helped me a lot before, and I hope it helps you now.
And this book is about the techniques that you should learn Python, any data scientist, and not only data scientists, but every one that faces data problems, and dealing with data is on his/her job description should know how to explore data. I hope you find what you need in this book.
This book is written to help you learn Python programming FAST and learn it WELL. If you are an absolute beginner in Programming, you'll find that this book explains complex concepts in an easy to understand manner. Examples are carefully chosen to demonstrate each concept so that you can gain a deeper understanding of the language. If you are an experienced coder, this book gives you a good base from which to explore Python. The appendices at the end of the book will also provide you with a convenient reference for some of the commonly used functions in Python.
At the end of the series, you'll be guided through a project that gives you a chance to put what you've learned to use.
We will provide with this magazine all the codes, so you can download the source code of the sections and project too.
You can get the online version freely here
Bundles that include this book
About the Author
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.
Also by the Author
Machine Learning Pipeline
Machine Learning Projects
Numpy cheat sheet
machine learning: logistic regression
ML Cheatsheet: Linear Regression
Recommendation Systems with Python
Python for Data Science
Data Science Essentials
Explore Data in Weekend Part II
A Refresher Guide to Convolution Neural Networks
Scratching Linear Algebra in Weekend
Data Science Prerequisites
Data Science Textbook
Data Science Pipeline
Explore Data in Weekend Part I
Python Basics
Python OOP

Python Design Patterns

Python Data Structures and Algorithms
Learn Python OOP in Weekend
Deep Learning Computer Vision Project
Learn Pandas Basics in Weekend
Refresher Guide to Recurrent Neural Networks
Data Science Projects

Refresher Guide to Neural Networks

Referesher Guide to Auto Encoder

Referesher Guide to Attention Mechanism

Referesher Guide to Generative Adversarial Networks
Learn NumPy Basics in Weekend
Learn NumPy Advanced in Weekend
Kanban Your Life
Within 60 days of purchase you can get a 100% refund on any Leanpub purchase, in two clicks.
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