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Related lectures (31)

Covers the basics of image processing using Fiji software and advanced TEM, SEM, and characterization methods.

Covers conditions, loops, functions, and graphics in R programming with practical examples.

Covers DevOps topics such as hosting, DNS, deploying OS, apps, SSL, and Httpie utility.

Introduces a course on Genetics & Genomics, focusing on R programming with interactive exercises.

Covers amplitude shift keying and various data analysis techniques using Jupyter Notebooks.

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

Explores the historical perspective and postulates of quantum mechanics, focusing on the harmonic oscillator and approximation methods.

Covers Python basics, threading, shared data issues, and deadlock prevention.

Covers eigenvalues, eigenfunctions, Hermitian operators, and the measurement of observables in quantum chemistry.

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

Covers Gaussian Mixture Models, Denoising, Data Classification, and Spike Sorting using Principal Component Analysis.

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