Basics of Python Programming: A Quick Guide for Beginners

Basics of Python Programming: A Quick Guide for Beginners is an essential companion to mastering the Python programming language. The book presents information about Python in 12 structured chapters with a strong emphasis on fundamentals and practical information. Starting with basic operators, functions and expressions, contents explain file handling, exception handling and modules. The book concludes with advanced topics such as object oriented programming and machine learning. Key Features: Fundamental Focus: Covers the core concepts of Python programming to build a strong foundation in python programming in an easy-to-understand format. Practical Demonstrations: Learn by doing. This textbook includes hands-on practical demonstrations that reinforce your understanding of Python concepts. IDE Guidance: Includes programming and installation guidance for Python-supporting Integrated Development Environments (IDEs). Explores Python Frameworks: Introduces Python frameworks such as Matplotlib, TensorFlow, PyTorch, Scikit-Learn, and NLTK for complex projects. Python for Machine Learning: Gives a preliminary understanding of Python for machine learning tasks for data science and AI applications. Basics of Python Programming: A Quick Guide for Beginners is the perfect starting point for aspiring students, programmers and tech enthusiasts. Whether you're a student looking to build a solid foundation in Python or an industry professional venturing into machine learning and artificial intelligence, this textbook has you covered. Readership Computer science, engineering and technology students; programming enthusiasts and professionals. Cover Title Copyright End User License Agreement Contents Foreword Preface Introduction to Python INTRODUCTION TECHNICAL STRENGTHS OF PYTHON Portability Object-Oriented Community Support Advanced Features Memory Management Ease of Use Installing Python Windows Installer Ubuntu Linux Mint Python IDLE Anaconda Open-source Distribution Installing Anaconda on Windows Installing Anaconda on Linux First Python Program Python Keywords Identifiers Statements Indentation Comments Coding Styles Functional Imperative Procedural Object-oriented CONCLUDING REMARKS Data Types, Operators, and Expressions INTRODUCTION NUMBER Sequence DICTIONARY BOOLEAN SET TYPE CONVERSION Implicit Type Conversion Explicit Type Conversion OPERATORS Arithmetic Operators Addition (+) Operator Subtraction (-) Operator Multiplication (*) Operator Division (/) Operator Modulus (%) Operator Exponent (**) Operator Floor Division (//) Operator Relational Operators Greater than (>) Operator Greater than or equal to (>=) Operator Less than (