abracadabra
发表于 2025-3-28 18:10:07
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VEIL
发表于 2025-3-28 19:15:13
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hemoglobin
发表于 2025-3-29 01:05:11
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勾引
发表于 2025-3-29 03:52:35
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photopsia
发表于 2025-3-29 10:11:48
Decay of Radicals in Polymer Matrices,e programming language in a similar approach to the one we took for C++ and Java. In addition, we explore tools and packages that help accelerate the development of data-driven application using Python.
不要严酷
发表于 2025-3-29 12:17:27
Introduction: How to Use This Book?,stry. These fields play a central role in many of the recent and upcoming revolutions in computing; for example, social networks, streaming video on demand, personal assistants (e.g., Alexa, Siri, and Google Assistant), and self-driving cars. Alphabet’s Executive Chairman, Eric Schmidt, went a step
Osteons
发表于 2025-3-29 15:42:41
Essential Knowledge: Hardware,the hardware components of a typical computer (CPU, memory, storage, GPU, etc.) focusing on issues that are relevant for software development and algorithm design. We also explore concepts like binary representations of numbers and strings, assembly language, multiprocessors, and the memory hierarch
anthropologist
发表于 2025-3-29 21:43:21
Essential Knowledge: Operating Systems,tes a computer program as a sequence of assembly language instructions, loads them into memory, and instructs the CPU to execute them one by one by pointing the program counter at the relevant memory address. Unfortunately, there are many problems with this scheme: only one program can run at any pa
d-limonene
发表于 2025-3-30 00:02:11
Learning C++, system. In this chapter, we describe C++ starting with low-level features such as variable types, operators, pointers, arrays, I/O, and control flow, and concluding with object-oriented programming and the standard template library. We consider the latest version of C++ at the time of writing: C++1
evasive
发表于 2025-3-30 07:55:42
Learning Python and a Few More Things,data, processing text, data analysis, etc. Many software packages that are useful for data analysis (like NumPy, SciPy, and Pandas) and machine learning (scikit-learn, TensorFlow, Keras, and PyTorch) can be integrated within a Python application in a few lines of code. In this chapter, we explore th