Julia (programming language)

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Related lectures (14)

Data Standardization and Error Handling in Julia

Covers tips and tricks for working with Julia, focusing on setting up the environment, handling errors, and standardizing dataframes.

Python Programming: File Handling and Exceptions

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

Scala Lens Compilation

Covers the compilation process of Scala Lens and the use of iterable collections for padding results.

MATLAB Essentials: Functions and Variables

Covers essential MATLAB functions, variables, loops, and debugging tools.

Coq Workshop: Inductive Data Types and Proofs

Covers the definition of an inductive data type in Coq and how to build proofs interactively using tactics.

Practical Engineering 1: Signal Processing

Explores advanced software engineering topics and signal processing using lazy lists to build a sound synthesizer from scratch.

Coq Workshop: Introduction to Interactive Theorem Proving

Introduces Coq, an interactive theorem assistant based on the Curry-Howard isomorphism.

Precompiler: Pass Arguments to Your Program

Explores precompilation directives in C language, handling main() arguments, and passing arguments to a program.

Matlab: 3D Surface Plotting

Covers logical arrays, 3D surface plotting, parametric curves, interpolation, and fitting in Matlab.

Computational Geomechanics: Unconfined Flow Analysis

Explores unconfined flow analysis in geomechanics, emphasizing iterative solution methods and boundary condition considerations.

Memory Management & Crash Programs

Covers memory management for engineers, focusing on crash programs related to memory access errors.

Frequency Methods Recap

Provides a recap on frequency methods for designing PD controllers for systems.

Macroeconomic Model Analysis

Explores the impact of productivity shocks and government policies on key economic variables.

Neurophysiological Data Analysis

Explores neurophysiological data analysis, covering AP identification, firing rates, subthreshold activity, FFT spectral analysis, and event-triggered analysis using MATLAB.

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