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Top Tracks
1
Why Some Projects Use Multiple Programming Languages
2
HOW TRANSISTORS RUN CODE?
3
What Happens When a Program Calls Sleeps?
4
Why Windows Needs Installers and macOS Doesn’t
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Intro
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Why Are Threads Needed On Single Core Processors
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WHY IS THE HEAP SO SLOW?
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System Calls
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How Real Projects Mix Compiled and Interpreted Languages
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How History Shaped the Programming Terms We Still Use Today
11
CPU operational modes.
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How a Single Bit Inside Your Processor Shields Your Operating System's Integrity
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The Fancy Algorithms That Make Your Computer Feel Smoother
14
The Weird Way Linux Creates Processes
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Interrupts
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HOW TRANSISTORS REMEMBER DATA
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Introduction
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Mode switching mechanism
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How computer processors run conditions and loops
20
The Question Nobody Ever Explains: Where Does the Kernel End?
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Memory Layout
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The 80’s Algorithm to Avoid Race Conditions (and Why It Failed)
23
How CPUs Interact with So Many Different Devices
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Por que alguns projetos usam várias linguagens de programação
25
Threads On Multicore Systems
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CONCURRENCY IS NOT WHAT YOU THINK
27
The size of your variables matters.
28
Capacitors are terrible at remembering data. But for this reason we continue doing it.
29
How CPUs Run Functions
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WHY IS THE STACK SO FAST?
31
Why Python Is Removing The GIL
32
CRAFTING A CPU TO RUN PROGRAMS
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Why Applications Are Operating-System Specific
34
How Hardware Assist Software When Multitasking
35
What is a stack
36
The role of the operating system
37
Virtual memory
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Cache
39
The size of your variables matter.
40
ARRAYLIST VS LINKEDLIST
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Sponsor message
42
Preemptive Operating Systems
43
The most common question on my channel
44
Why the CPU shouldn’t directly control peripherals
45
A PROGRAM is not a PROCESS.
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Why is the Heap so slow
47
Por qué algunos proyectos utilizan múltiples lenguajes de programación
48
Role of microcontrollers and the control bus
49
How Hardware Makes Threads Less of a Nightmare
50
Conclusion
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