A Master's Course in Python: with Certification
A Master's Course in Python: with Certification
The course includes Certificate of Certification if the students submit the Final Exam with the project that accompanies this book. A Master's Course in Python course is designed to provide students with a solid foundation in Python programming, as well as an introduction to web development, data science, and machine learning. The course covers the fundamental concepts of Python, including data types, variables, control structures, functions, and modules. It also covers advanced essential concepts and best practices of Python. It includes real world case studies, a wealth of Research reports on Python programming concepts, Reference for additional books, website, and other study material as well as a Glossary of Terms. It provides hands-on experience with real-world projects, and prepares students for future opportunities in the field of software development. By the end of the course, students will be able to have a University level of Python programming.
Table of Contents: Module 1 Introduction to Python Definitions for this week What is Python? Why do we need to use Python? Careers in Python Software for Learning Python Setting up the Development Environment in Python Best Approach Case Studies Syntax and Structure Data Types Sets and Bytes Declaring Variables Naming Conventions Basic operations with Variables Control Structures Loops Dictionaries Functions and Modules Resources References Quiz 1 Functions Continued Parameters Return Values Recursions Traversing Generating Permutations Combinations Import Statement Case Studies Resources Websites: Quiz 2 Module 3 Aspects of Good Software Development Classes and Objects Inheritance and Polymorphism Reusable code Maintainable code Error Handling File Input/Output (I/O) Regular Expressions (regex) SQLite, MySQL, and PostgreSQL Lists and Tuples Slicing and Indexing Encapsulations and Abstraction Decorators and Generators Review Case Studies Resources Websites: Books: Quiz 3 Module 4 CSV and JSON API and XML SOAP REST GET, POST, PUT, and DELETE Lambda Functions Flask and Django Framework ORM Web Development HTML, CSS and JavaScript Building Web Applications Database Management Final Exam Project: Building a To-Do List Application Resources Books References Research Studies Glossary of Terms
Table of Contents: Module 1 Introduction to Python Definitions for this week What is Python? Why do we need to use Python? Careers in Python Software for Learning Python Setting up the Development Environment in Python Best Approach Case Studies Syntax and Structure Data Types Sets and Bytes Declaring Variables Naming Conventions Basic operations with Variables Control Structures Loops Dictionaries Functions and Modules Resources References Quiz 1 Functions Continued Parameters Return Values Recursions Traversing Generating Permutations Combinations Import Statement Case Studies Resources Websites: Quiz 2 Module 3 Aspects of Good Software Development Classes and Objects Inheritance and Polymorphism Reusable code Maintainable code Error Handling File Input/Output (I/O) Regular Expressions (regex) SQLite, MySQL, and PostgreSQL Lists and Tuples Slicing and Indexing Encapsulations and Abstraction Decorators and Generators Review Case Studies Resources Websites: Books: Quiz 3 Module 4 CSV and JSON API and XML SOAP REST GET, POST, PUT, and DELETE Lambda Functions Flask and Django Framework ORM Web Development HTML, CSS and JavaScript Building Web Applications Database Management Final Exam Project: Building a To-Do List Application Resources Books References Research Studies Glossary of Terms
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The course includes Certificate of Certification if the students submit the Final Exam with the project that accompanies this book. A Master's Course in Python course is designed to provide students with a solid foundation in Python programming, as well as an introduction to web development, data science, and machine learning. The course covers the fundamental concepts of Python, including data types, variables, control structures, functions, and modules. It also covers advanced essential concepts and best practices of Python. It includes real world case studies, a wealth of Research reports on Python programming concepts, Reference for additional books, website, and other study material as well as a Glossary of Terms. It provides hands-on experience with real-world projects, and prepares students for future opportunities in the field of software development. By the end of the course, students will be able to have a University level of Python programming.
Table of Contents: Module 1 Introduction to Python Definitions for this week What is Python? Why do we need to use Python? Careers in Python Software for Learning Python Setting up the Development Environment in Python Best Approach Case Studies Syntax and Structure Data Types Sets and Bytes Declaring Variables Naming Conventions Basic operations with Variables Control Structures Loops Dictionaries Functions and Modules Resources References Quiz 1 Functions Continued Parameters Return Values Recursions Traversing Generating Permutations Combinations Import Statement Case Studies Resources Websites: Quiz 2 Module 3 Aspects of Good Software Development Classes and Objects Inheritance and Polymorphism Reusable code Maintainable code Error Handling File Input/Output (I/O) Regular Expressions (regex) SQLite, MySQL, and PostgreSQL Lists and Tuples Slicing and Indexing Encapsulations and Abstraction Decorators and Generators Review Case Studies Resources Websites: Books: Quiz 3 Module 4 CSV and JSON API and XML SOAP REST GET, POST, PUT, and DELETE Lambda Functions Flask and Django Framework ORM Web Development HTML, CSS and JavaScript Building Web Applications Database Management Final Exam Project: Building a To-Do List Application Resources Books References Research Studies Glossary of Terms
Table of Contents: Module 1 Introduction to Python Definitions for this week What is Python? Why do we need to use Python? Careers in Python Software for Learning Python Setting up the Development Environment in Python Best Approach Case Studies Syntax and Structure Data Types Sets and Bytes Declaring Variables Naming Conventions Basic operations with Variables Control Structures Loops Dictionaries Functions and Modules Resources References Quiz 1 Functions Continued Parameters Return Values Recursions Traversing Generating Permutations Combinations Import Statement Case Studies Resources Websites: Quiz 2 Module 3 Aspects of Good Software Development Classes and Objects Inheritance and Polymorphism Reusable code Maintainable code Error Handling File Input/Output (I/O) Regular Expressions (regex) SQLite, MySQL, and PostgreSQL Lists and Tuples Slicing and Indexing Encapsulations and Abstraction Decorators and Generators Review Case Studies Resources Websites: Books: Quiz 3 Module 4 CSV and JSON API and XML SOAP REST GET, POST, PUT, and DELETE Lambda Functions Flask and Django Framework ORM Web Development HTML, CSS and JavaScript Building Web Applications Database Management Final Exam Project: Building a To-Do List Application Resources Books References Research Studies Glossary of Terms
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