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Threads and Locks
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Related lectures (38)
Threads in Python Programming
Covers Python basics, threading, shared data issues, and deadlock prevention.
Object-Oriented Programming Fundamentals
Covers the basics of object-oriented programming in Python, including objects, classes, inheritance, and input/output handling.
Principles of Parallelism
Covers the basics of parallelism, including physical examples, historical context, multicore era, and parallel collections in Scala.
Parallel Programming: Fundamentals
Covers the basics of parallel programming, including exploiting parallelism in algorithms and the importance of avoiding race conditions.
Python Lists: Manipulation and Comprehension
Covers Python list manipulation and comprehension, emphasizing memory representation and mutability.
Dining philosopher problem
Presents an algorithm to prevent starvation and maximize philosophers eating simultaneously.
Concurrency with Futures
Explores futures as a structured approach to concurrency, simplifying parallel tasks and input-output operations.
Gitlab Agent for Kubernetes (`agentk`)
Covers the setup of a Gitlab agent for Kubernetes, focusing on installation, version control, and troubleshooting.
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.
Threads: Introduction and Implementation
Introduces thread creation and management in Java, including using thread pools for efficient task execution.
One place buffer: Producer-consumer queue
Introduces the concept of a one-place buffer in concurrent programming.
Untitled
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Data Science Visualization with Pandas
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Covers data manipulation and exploration using Python with a focus on visualization techniques.
Programming Basics: LabVIEW Fundamentals
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Introduces LabVIEW programming basics, covering user interface, data types, file handling, and error management.
Threads: Concurrency and Parallelism in Computer Systems
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Covers the thread abstraction in computer systems, focusing on concurrency, parallelism, and the management of threads using the POSIX API.
Parallel Programming I
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Covers the basics of parallel programming, including concurrency, forms of parallelism, synchronization, and programming models like PThreads and OpenMP.
Decision Tree Classification
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Covers decision tree classification using KNIME Analytics Platform for data preprocessing and model creation.
Introduction to Data Science
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Introduces the basics of data science, covering decision trees, machine learning advancements, and deep reinforcement learning.
Mechanical Construction Basics
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Introduces the basics of mechanical construction, focusing on international standards, drawing frameworks, and graphical elements.
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