Lectures related to Best Practices in Programming: Overview

Conditions and Loops: Basics of Programming

Covers the basics of programming, including types, variables, methods, functions, conditions, loops, and boolean logic.

Explores Matlab programming with scripts and functions, vectorization, and 2D graphics.

Introduction to Programming: First Steps

Covers the basics of programming, including the development cycle of a program, strong typing, data storage in Java variables, and primitive data types.

Python Programming Basics

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

Programming Concepts: Variables and Expressions

Covers fundamental programming concepts such as algorithms, variables, and expressions in C++.

Introduction to Programming with Python

Introduces Python programming basics, covering data types, operators, variables, functions, and code tracing.

Understanding Microcontrollers: Programming in C/Arduino

Covers the basics of programming microcontrollers using C language and Arduino platform.

Python Functions: Basics and Arguments

Covers the basics of writing functions in Python and working with function arguments.

Python Basics: Strings and Variables

Covers the basics of Python programming, focusing on strings and variables, with practical examples and exercises.

Programming Basics: Control Structures and Functions

Introduces fundamental programming concepts in Python, focusing on control structures like conditions and loops.

Introduction to Programming: Basics of Python

Covers the basics of programming in Python, focusing on practical skills and hands-on exercises.

Python Programming: Duplicates Detection

Covers the implementation of a Python function to detect duplicates in a list of integers.

Python Programming: Data Structures and Functions

Covers advanced Python programming concepts, including data structures and functions.

Python Programming: Control Structures and Functions

Covers advanced topics in Python programming, focusing on control structures and functions.

Programming for Engineers

Introduces a programming course for engineers, emphasizing the importance of mastering multiple languages for future projects.

Introduction to Python Programming

Introduces Python programming basics using Anaconda and JupyterLab, with practical exercises on syntax and libraries.

Programming for Engineers

Covers programming concepts, memory management, debugging, and advanced MATLAB functionalities.

Python Programming: Sorting and Indexing

Covers Python programming concepts related to sorting and indexing.

LabVIEW Programming Essentials

Explores LabVIEW essentials, troubleshooting common issues, managing cache, and data visualization techniques.

Programming with Parallelograms

Covers the implementation of a Parallelogram class in Python.