PYTHON FOR DATA SCIENCE: The Ultimate Beginners’ Guide to Learning Python Data Science Step by Step
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Description
This book is a comprehensive guide for beginners to learn Python Programming, especially its application for Data Science. While the lessons in this book are targeted at the absolute beginner to programming, people at various levels of proficiency in Python, or any other programming languages can also learn some basics and concepts of data science. A few Python libraries are introduced, including NumPy, Pandas, Matplotlib, and Seaborn for data analysis and visualisation. To make the lessons more intuitive and relatable, practical examples and applications of each lesson are given. The reader is equally encouraged to practise the techniques via exercises, within and at the end of the relevant chapters. To help the reader get a full learning experience, there are references to relevant reading and practice materials, and the reader is encouraged to click these links and explore the possibilities they offer. It is expected that with consistency in learning and practicing the reader can master Python and the basics of its application in data science. The only limitation to the reader’s progress, however, is themselves! Introduction Outline: Chapter 1: Python basics Chapter 2: Data analysis with Python Chapter 3: Data Visualization with Python Chapter 4: Bonus chapter – Introduction to Machine learning with Python Chapter 1: Python Basics Chapter 1: Python Basics Python History Installing Python Windows: Mac/Linux Os: Windows: The Anaconda navigator Coding with Python: The rudiments Statements, Commands, and Expressions Comments Python data types Numbers Strings Lists Tuples Dictionaries Booleans Conditional statements and Loops Functions Chapter 2: Data Analysis with Python Chapter 2: Data Analysis with Python NumPy Package Installation Manipulating arrays Indexing and selecting arrays Pandas Series Data frames Missing Data Group-By Concatenate, Join and Merge Reading and Writing data Chapter 3: Data Visualization with Python Chapter 3: Data Visualization with Python Matplotlib Seaborn Pandas Chapter 4: Machine Learning with Python Chapter 4: Machine Learning with Python So, what is machine learning? Okay, machine learning is cool. How is it related to data science? Python and machine learning Types of machine learning Conclusion
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