Lecture

String Operations: Basics and Methods

Related lectures (31)

Explains the differences between mutable and immutable objects in Python and covers native container types.

Covers exception handling in Python, including try, raise, except, else, and finally blocks, with examples.

Covers Python sets operations, including creation, modification, and comparison, as well as set operations like union and intersection.

Dictionary Operations

Covers operations and methods related to dictionaries in Python, including creating, updating, and handling key errors.

Structures and Mechanisms: Opening a Box

Explores the analysis of structures and mechanisms through a sample problem of opening a box with a string-held lid.

Functions in Python

Introduces functions in Python, covering predefined and user-defined functions, formal and effective parameters, and the importance of docstrings.

Algorithmic Complexity: Travel Time Analysis

Covers control operations, algorithmic complexity, function calls, and travel time analysis.

Boolean Types and Control Structures

Explores boolean types, logical operators, and control structures in Python, emphasizing the evaluation of expressions and the use of relational operators.

Data Science Visualization with Pandas

Covers data manipulation and exploration using Python with a focus on visualization techniques.

Python Lists: Manipulation and Comprehension

Covers Python list manipulation and comprehension, emphasizing memory representation and mutability.

Computational Methods: Paths and Strings

Covers computational methods focusing on paths and strings, including examples of concatenation, regex elements, and string operations.

Recursive Functions: Examples and Applications

Explores recursive functions, including factorials and Fibonacci sequences, and their scope and namespaces.

Object-Oriented Programming Fundamentals

Covers the basics of object-oriented programming in Python, including objects, classes, inheritance, and input/output handling.

Python Programming Basics

Covers the basics of Python programming, focusing on flow control structures, interactive mode, script mode, and variables.

File Handling: Text and Bytes

Covers file handling, string operations, and character encodings in Python.

Jupyter Notebook: Interactive Computing and Computational Narratives

Introduces Jupyter Notebook for composing interactive programs with live code and narrative text, covering installation, code cells, Markdown text, widgets, and kernel management.

Advanced Pandas Functions

Focuses on advanced pandas functions for data manipulation, exploration, and visualization with Python, emphasizing the importance of understanding and preparing data.

Common Sequences Operations

Covers common operations on sequences like lists and tuples, including slicing, extending, and replacing elements.

Introduction to Data Science

Introduces the basics of data science, covering decision trees, machine learning advancements, and deep reinforcement learning.

Python Programming: File Handling and Exceptions

Explores file handling and exceptions in Python programming, covering reading, writing, and error handling strategies.