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Python for Data Science: Data Science Mastery by Nikhil Khan, #1
By Nikhil Khan
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About this ebook
Master Python and Build a Strong Foundation for AI and Machine Learning
Step into the exciting world of artificial intelligence, machine learning, and data science with Foundations in Python: The First Step Toward AI and Machine Learning. This beginner-friendly guide is your gateway to understanding Python, the most powerful programming language driving today's data-driven innovations.
Whether you're an aspiring data scientist, AI enthusiast, or curious learner, this book offers a clear and practical path to mastering Python while preparing you for the advanced realms of AI and machine learning.
What's Inside?
- Python Essentials Made Easy: Learn the basics of Python, including variables, data types, operators, and control flow, with simple explanations and examples.
- Core Programming Concepts: Build solid coding skills with loops, conditionals, functions, and error handling to tackle real-world challenges.
- Working with Data: Explore Python's powerful tools for handling data using lists, dictionaries, sets, and nested structures.
- Object-Oriented Programming: Understand how to create custom classes and objects to write reusable and efficient code.
- Introduction to Data Science Tools: Get hands-on with NumPy for numerical computing and Pandas for data analysis, setting the stage for future projects.
- Practical Applications: Work on real-world examples like processing files, managing data, and automating tasks to reinforce what you've learned.
Why This Book?
- A Beginner's Dream: Perfect for those with no prior programming experience, guiding you step-by-step through Python's fundamentals.
- A Gateway to the Future: Provides the knowledge you need to explore advanced topics like machine learning and AI confidently.
- Learn by Doing: Packed with practical examples, project suggestions, and exercises to solidify your skills.
By the time you finish this book, you'll not only have a deep understanding of Python but also a solid foundation to dive into AI, machine learning, and beyond.
Don't wait to start your journey. Foundations in Python: The First Step Toward AI and Machine Learning is your guide to unlocking the future of technology, one line of code at a time.
LanguageEnglish
PublisherFX3 Publishing
Release dateDec 18, 2024
ISBN9798230960300
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Book preview
Python for Data Science - Nikhil Khan
Python for Data Science
By Nikhil Khan
Chapter 1: Introduction to Python and Data Science
Chapter 2: Variables and Basic Data Types
Chapter 3: Operators and Expressions
Chapter 4: Control Flow – Conditionals
Chapter 5: Control Flow – Loops
Chapter 6: Lists and Tuples
Chapter 7: Dictionaries and Sets
Chapter 8: Functions
Chapter 9: Introduction to Modules and Packages
Chapter 10: File Input and Output
Chapter 11: Basic Error Handling
Chapter 12: Introduction to Classes and Objects
Chapter 13: Working with Data Structures in Python
Chapter 14: Basic Introduction to NumPy and Pandas
Chapter 15: Next Steps in Python for Data Science
Chapter 1: Introduction to Python and Data Science
Welcome to the fascinating world of data science using Python! In this chapter, we’ll introduce you to Python, explain why it’s perfect for data science, and guide you through setting up your development environment. Let’s dive right in!
What is Python?
Python is a high-level, interpreted programming language known for its simplicity, readability, and ease of use. It supports multiple paradigms, including procedural, object-oriented, and functional programming.
Here’s a simple Hello, World!
program in Python:
print(Hello, World!
)
When you run this code, it will output: Hello, World!
Why Python for Data Science?
Python is an excellent choice for data science due to several reasons:
Ease of Use: Python’s syntax is clean and easy to read, making it beginner-friendly.
Rich Ecosystem: It has a vast collection of libraries like NumPy, Pandas, Matplotlib, Scikit-learn, etc., tailored for data manipulation, analysis, visualization, and machine learning tasks.
Community Support: Python has an active community, ensuring that you can find help, resources, and open-source projects readily available.
Setting Up Your Python Environment
Before you start coding, you need to have a Python environment set up on your computer. Here’s how to do it using Anaconda:
Installing Python using Anaconda
Anaconda is a popular package manager and distribution for Python that makes installing and managing libraries easy. Follow these steps:
Download the latest version of Anaconda from the official website: https://www.anaconda.com/products/individual
Run the installer and follow the prompts, ensuring you select Add Anaconda to my PATH environment variable
during installation.
Once installed, open a terminal/command prompt and verify the installation by typing:
conda --version
python --version
You should see both Python and Conda versions displayed.
Introduction to Jupyter Notebook
Jupyter Notebook is an open-source web application that allows you to create and share documents containing live code, equations, visualizations, and narrative text. It’s perfect for data science tasks.
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