Named Tuples and Dataclasses

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (31)

Page 3 of 4

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

Data-Intensive Systems: Relational Model and Algebra

Introduces the relational model and algebra, essential for understanding data-intensive systems and effective database management.

Relational Model: Basics

Introduces the relational model, SQL, keys, integrity constraints, ER translation, weak entities, ISA hierarchies, and SQL vs. noSQL.

Object-Oriented Programming Fundamentals

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

Python for Engineers: Basics and Functions

Covers Python basics, functions, and practical applications for engineers, emphasizing data manipulation, functional programming, and data structures.

File Handling: Reading and Writing CSV Files

Covers reading and writing CSV files, saving data, using dataclasses, and introduces the Advent of Code platform for daily programming challenges.

Query Processing with Relational Operations

Covers query processing with relational operations, including query optimization and different join algorithms.

Data Science for Engineers: Part 2

Explores data manipulation, exploration, and visualization in data science projects using Python.

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.