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Master Python

Frank Anemaet

Use Python to build web apps, analyze data, create desktop software, automate tasks, and more.

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About

About the Book

This book offers a complete introduction to Python programming, covering everything from the basics to advanced applications. You'll start with core concepts and build up to real-world projects in data analysis, image processing, plotting, GUI programming, web development, desktop apps, and browser automation. Whether you're a beginner or looking to expand your skills, this book is packed with clear explanations, practical examples, and hundreds of exercises to help you learn by doing.

What will you learn?

  • Core Python programming and object-oriented programming
  • Creating plots and visualizations (bar charts, scatterplots, and more)
  • Building web apps with Python Flask
  • Creating desktop apps with PyQt5
  • Automating Chrome and browser tasks with Python
  • Image processing: read, write, convert, and modify images in various formats
  • Data structures and tools for data analysis in Python

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Author

About the Author

Frank Anemaet

Sharing my experience in Software Development here on Leanpub. I have a background in Computer Science and worked with nearly every programming language on the planet. I graduated with highest distinction during my masters program. I've worked on projects ranging from Robotics, Web Apps, Mobile Apps to Embedded Systems.

Contents

Table of Contents

Introduction

  1. Why Python?
  2. What’s will I learn?

Chapter 1 - Python

  1. Run Python Code
  2. Variables
  3. Strings
  4. Lists, a collection in Python
  5. Tuples and dictonaries
  6. Loops
  7. If statements
  8. Files
  9. Answers

Chapter 2 - OOP

  1. What is OOP and why?
  2. Class and objects
  3. Classes In-Depth
  4. Inheritance
  5. Method overloading
  6. Object Serialization
  7. Counter OOP
  8. Answers

Chapter 3 - Create Plots with Python

  1. What is Matplotlib?
  2. Why matplotlib?
  3. Why Python?
  4. Install and Load Data
  5. Load Data
  6. Examples
  7. Plot types
  8. Advanced plots

Chapter 4 - Image Processing with Python (PIL)

  1. Introduction
  2. The basics
  3. Loading and transformations
  4. Image manipulation
  5. Drawing

Chapter 5 - Analyze Data with Python Pandas

  1. Introduction
  2. Data frames
  3. Load data
  4. Dataframe properties
  5. Visualize DataFrame
  6. Real world examples

Chapter 6 - Build Web Apps with Python Flask

  1. New Project
  2. Hello World
  3. Routes
  4. Templates
  5. HTTP Protocol
  6. Cookies
  7. Databases

Chapter 7 - GUI with Python PyQt

  1. Install PyQt
  2. First GUI Programs
  3. Basic PyQt5 features
  4. Menu
  5. Designer tool
  6. BMI calculator project
  7. Web Browser Project
  8. Text Editor Project

Chapter 8 - Automate Chrome with Python

  1. Introduction
  2. Drivers
  3. Basics
  4. Locate elements

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