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Related lectures (32)
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Programming Basics: LabVIEW Fundamentals
Introduces LabVIEW programming basics, covering user interface, data types, file handling, and error management.
Threads: Concurrency and Parallelism in Computer Systems
Covers the thread abstraction in computer systems, focusing on concurrency, parallelism, and the management of threads using the POSIX API.
Gitlab Agent for Kubernetes (`agentk`)
Covers the setup of a Gitlab agent for Kubernetes, focusing on installation, version control, and troubleshooting.
File Management and Exception Handling in Python
Focuses on file management and exception handling in Python programming.
File System Abstraction: Understanding Files and Directories
Explains the file system abstraction, focusing on files, directories, and their management within a computer system.
Parallel Programming I
Covers the basics of parallel programming, including concurrency, forms of parallelism, synchronization, and programming models like PThreads and OpenMP.
Python Programming: File Handling and Exceptions
Explores file handling and exceptions in Python programming, covering reading, writing, and error handling strategies.
Concurrency: Deadlock
Covers the concept of deadlock in concurrent programming and provides solutions to prevent them.
Decision Tree Classification
Covers decision tree classification using KNIME Analytics Platform for data preprocessing and model creation.
Introduction to Data Science
Introduces the basics of data science, covering decision trees, machine learning advancements, and deep reinforcement learning.
