PYTHON PROGRAMMING 1BPLC105B
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Module 1: The way of the program
The Python programming language, what is a program? What is debugging? Syntax errors, Runtime errors, Semantic errors, Experimental debugging. Variables, Expressions and Statements: Values and data types, Variables, Variable names and keywords, Statements, Evaluating expressions, Operators and operands, Type converter functions, Order of operations, Operations on strings, Input, Composition, The modulus operator. Iteration: Assignment, Updating variables, the for loop, the while statement, The Collatz 3n + 1 sequence, tables, two-dimensional tables, break statement, continue statement, paired data, Nested Loops for Nested Data. Functions: Functions with arguments and return values. Chapters: 1.1-1.7, 2.1-2.12, 3.3, 4.4, 4.5
Module 2: Strings
Working with strings as single things, working with the parts of a string, Length, Traversal and the for loop, Slices, String comparison, Strings are immutable, the in and not in operators, A find function, Looping and counting, Optional parameters, The built-in find method, The split method, Cleaning up your strings, The string format method. Tuples: Tuples are used for grouping data, Tuple assignment, Tuples as return values, Composability of Data Structures. Lists: List values, accessing elements, List length, List membership, List operations, List slices, Lists are mutable, List deletion, Objects and
Module 3: Dictionaries
Dictionary operations, dictionary methods, aliasing and copying. Numpy: About, Shape, Slicing, masking, Broadcasting, dtype . Files: About files, writing our first file, reading a file line -at-a-time, turning a file into a list of lines, Reading the whole file at once, working with binary files, Directories, fetching something from the Web. Chapter: 5.4, 6.1-6.5, 7.1-7.8
Module 4: IPCC (4 Credits) template 2 2 Modules
Random numbers, the time module, the math module, creating your own modules, Namespaces, Scope and lookup rules, Attributes and the dot Operator, Three import statement variants. Mutable versus immutable and aliasing Object oriented programming: Classes and Objects — The Basics, Attributes, Adding methods to our class, Instances as arguments and parameters, Converting an instance to a string, Instances as return values . Chapter: 8.1-8.8, 9.1, 11.1
Module 5: Object oriented programming
Objects are mutable, Sameness, Copying. Inheritance: Pure functions ,Modifiers, Generalization, Operator Overloading, Polymorphism. Exceptions: Catching Exceptions, Raising your own exceptions. Chapter: 11.2.2-11.2.4, 11.3.2-11.3.9, 12.1, 12.2
Textbooks & Resources
- Peter Wentworth, Jeffrey Elkner, Allen B. Downey and Chris Meyers - How to think like a computer scientist: learning with python 3. Green Tea Press, Wellesley, Massachusetts,2020 https://media.readthedocs.org/pdf/howtothink/latest/howtothink.pdf
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What is 1BPLC105B (PYTHON PROGRAMMING)?
PYTHON PROGRAMMING (1BPLC105B) is a VTU course covered through module-wise syllabus, notes, and PYQ-driven exam practice available on this page.
How many credits is 1BPLC105B?
Credits for 1BPLC105B: 04.
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Yes. You can access organized notes, PDFs, and PYQ material from the file explorer/resources section on this page.
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Start with module summaries, solve recent PYQs unit-wise, and finish with complete paper practice under time constraints for SEE readiness.
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