Python Programming Essentials: A Fast-Track Guide to Mastering Coding with Hands-On Exercises
Josh Summers
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Chapter 1: Introduction to Python 3
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Understanding Python: Features and Benefits 3
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Setting Up Your Python Environment 7
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Chapter 2: Data Types and Variables 14
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Integer, Float, String, Boolean, and List Data Types 14
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Variable Assignment and Data Manipulation 18
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Chapter 3: Conditional Statements and Loops 23
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if, elif, and else Statements 23
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while, for, and break Loops 26
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Chapter 4: Functions 31
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Creating and Calling Custom Functions 31
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Parameter Passing and Return Values 35
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Chapter 5: Lists and Tuples 41
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Creating and Modifying Lists 41
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Working with Tuples: Immutable Sequences 46
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Chapter 6: Dictionaries and Sets 50
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Key-Value Pairs in Dictionaries 50
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Operations on Sets: Union, Intersection, and Difference 54
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Chapter 7: Object-Oriented Programming 59
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Classes, Objects, and Attributes 59
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Inheritance and Polymorphism 63
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Chapter 8: File Handling 69
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Reading and Writing to Files 69
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File Operations: Opening, Closing, and Error Handling 73
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Chapter 9: Error Handling 79
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Types of Python Errors 79
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try, except, and finally Blocks 85
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Chapter 10: Testing and Debugging 90
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Unit Testing with unittest 90
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Debugging Tools: pdb and logging 94
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Chapter 11: Data Science with Python 98
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Introduction to Data Analysis 98
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Working with Pandas DataFrames 102
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Chapter 12: Advanced Topics 108
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Lambda Functions and Generators 108
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Iterators and Comprehensions 113
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