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Python for IoT
The document provides an overview of Python programming language features relevant to IoT, including data types, control flow, functions, and modules. It covers Python's syntax rules, standard data types like lists and dictionaries, and functions including how to define and call them with various types of arguments. Additionally, it discusses programming concepts like loops, conditionals, and how to structure Python modules for code organization.
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This section introduces Python as a versatile, high-level, interpreted language. Key features include easy learning, readability, and a broad standard library.
Topics covered include Python's easy-to-learn syntax, modes of programming, sample programs, programming rules, and the significance of indentation.
This group discusses Python identifiers, naming conventions, keywords, and how variables are assigned without explicit declarations.
Standard data types in Python are defined, including numbers (int, float, complex) and their variations.
Explains strings as sequences of characters, indexing, slicing, and lists as ordered collections that can hold items of different data types.
Introduces tuples as immutable sequences, differences between lists and tuples, and dictionaries as key-value pairs for storing data.
Describes various operators including arithmetic, comparison, assignment, logical, membership, and identity operators in Python.
Discusses conditional branching via if statements, nested conditions, and if-elif-else constructs.
Explores loop constructs such as while and for loops, their syntax, and the range() function for iteration.
Details about functions as reusable code blocks, including syntax, arguments, and the scope of variables.
Introduces modules for organizing Python code, the import statement, and packages for structured collections of modules.
Explains file input/output operations, including opening, reading, writing, and closing files in Python.
Introduces modules for handling date and time in Python, including formatting and calendar functionalities.
Covers key OOP concepts in Python, such as classes, objects, attributes, and methods.
Focuses on class inheritance for reusability and polymorphism including function and operator overloading.
Describes exception handling using try-except blocks to manage errors during program execution.
Introduces HTTPLib for HTTP client operations and URLLib for URL fetching operations.
Presents sample codes for testing knowledge on Python concepts, functions, and exception handling.
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