Python Programming

Python is a high-level, versatile programming language known for its simplicity, readability, and vast range of applications. It's considered one of the most popular and versatile languages, used in various domains, from web development and data analysis to artificial intelligence and scientific computing.

Key aspects and features of Python programming include:

• Simple and Readable Syntax: Python emphasizes readability and clean code, using indentation and a straightforward syntax that makes it easy to learn and use, especially for beginners.
• Interpreted and Interactive: Python is an interpreted language, allowing developers to run code line by line interactively, making it suitable for rapid development and prototyping.
• Versatility and Ecosystem: Python has a vast ecosystem of libraries and frameworks, such as Django and Flask for web development, NumPy and Pandas for data analysis, TensorFlow and PyTorch for machine learning, and many more, making it suitable for various applications.
• Strong Community Support: Python has a large and active community of developers contributing to its growth. There are extensive resources, documentation, forums, and third-party packages available to support developers.
• Object-Oriented and Procedural: Python supports both object-oriented and procedural programming paradigms, allowing developers to choose the best approach for their projects.

Syllabus:

• 1. Introduction to Python Python Introduction, History of Python, Introduction to Python Interpreter and program execution, Python Installation Process in Windows and Linux, Python IDE, Introduction to anaconda, python variable declaration, Keywords, Indents in Python, Python input/output operations
• 2. Python’s Operators Arithmetic Operators, Comparison Operators, Assignment Operators, Logical Operators, Bitwise Operators, Membership Operators, Identity Operators, Ternary Operator, Operator precedence.
• 3. Python’s Built-in Data types String, List, Tuple, Set, Dictionary (characteristics and methods)
• 4. Conditional Statements & Loop Conditional Statements (If, If-else, If-elif-else, Nested-if etc.) and loop control statements (for, while, Nested loops, Break, Continue, Pass statements)
• 5. Function in python. Introduction to functions, Function definition and calling, Function parameters, Default argument function, Variable argument function, in built functions in python, Scope of variable in python
• 6. File Processing Concept of Files, File opening in various modes and closing of a file, Reading from a file, Writing onto a file, some important File handling functions e.g open(), close(), read(), readline() etc.
• 7. Modules Concept of modularization, Importance of modules in python, Importing modules, Built in modules ( ex: Numpy)
• 8. Mysql Database 
• Insert, update, and delete data ? Retrieve data from tables ? Joins ? Sub-queries ? Working with Data Types ? Procedure and Functions ? Understand the different Views ? Working with Triggers ? Create and manage views