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Lecture
Memory Management & Crash Programs
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Related lectures (31)
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Data Wrangling with Hive: Managing Big Data Efficiently
Covers data wrangling techniques using Apache Hive for efficient big data management.
Dynamic Memory Allocation: Basics and Examples
Explores dynamic memory allocation in C, covering stack vs. heap memory, helper functions, and practical examples.
Matlab Programming: Script and Function
Explores Matlab programming with scripts and functions, vectorization, and 2D graphics.
General Introduction to Big Data
Covers data science tools, Hadoop, Spark, data lake ecosystems, CAP theorem, batch vs. stream processing, HDFS, Hive, Parquet, ORC, and MapReduce architecture.
Waves in Inhomogeneous Medium
Explores waves in inhomogeneous media, covering initial and boundary conditions, numerical stability, eigen modes, and propagation principles.
Snowpack Modeling: Physics and Applications
Explores the physics of snowpack modeling and its practical applications in vapor transport and hydrology simulations.
Data Science Visualization with Pandas
Covers data manipulation and exploration using Python with a focus on visualization techniques.
Data Visualization: Excel Charts
Covers the basics of creating and customizing charts in Excel.
Untitled
Cache Memory
Explores cache memory design, hits, misses, and eviction policies in computer systems, emphasizing spatial and temporal locality.
