Through the theory and practice of Linux system programming, you can acquire virtual machine environment settings, basic to advanced file handling techniques. You can gain a deep understanding of system programming by covering various topics such as file manipulation, process and thread management, signal handling, and time management using C programming.
Linux System Programming - Theory and Practice
Linux system programming (LSP) refers to writing applications that control and manage a Linux system using the programming interface provided by Linux. Because LSP requires a low-level interface compared to other development environments, it can seem inconvenient, unintuitive, and unfriendly to those unfamiliar with it. Consequently, it can be perceived as difficult.
However, there is no process that makes developers as friendly with Linux as LSP. Because LSP interacts with the Linux kernel in the simplest way, it can help you understand the operating processes of Linux and computer systems. Furthermore, mastering LSP is essential for expanding your horizons to areas like Linux device drivers and kernel programming. This course maximizes learning effectiveness by combining topic-specific theory with practical programming practice. It goes beyond simply listing and introducing numerous APIs.
Drawing on 15 years of development experience, I've focused on essential, frequently used, and potentially confusing topics, effectively conveying core concepts to students. Specifically, each topic is presented as a live programming exercise, starting from a blank file and demonstrating the entire process of implementation, testing, and debugging. This allows beginners to observe and follow along as they learn.
Learning Objectives
Quickly learn core theories by topic to enhance your overall understanding of Linux programming.
Through programming practice, you will learn not only concepts and theories, but also how to use APIs and how they work.
Helpful people
For those who want to become Linux developers
For those who want to quickly adapt to Linux development
Those who only learned Linux from books and don't know what to do or how to do it
Lecture practice environment
The lecture practice involved creating a virtual machine using VirtualBox on a Windows 10 host and installing Ubuntu 18.04 on it. (The exact configuration isn't required; any Linux-capable environment can be used for this practice.)
It's difficult to give you the exact minimum specifications for installing and operating a virtual machine, but the specifications below should be enough to set up a practice environment using a virtual machine: - CPU with a 2GHz/dual core or higher - System memory of 4GB or more - Disk space of 20GB or more
Please refer to the "Setting up a practice environment (virtual machine)" video for instructions on installing VirtualBox, creating a virtual machine, and installing Ubuntu-18.04 on the virtual machine.
Note
Requires an understanding of basic C language syntax.
🔍 교보문고: http://gilbut.co/c/24086125JZ
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