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Python-Interview-Bible is a curated set of interview notes, Q&A, and code snippets aimed at helping candidates prepare efficiently for Python roles. It organizes content by topic—language essentials, data structures, algorithms, concurrency, networking, and databases—so you can target weak areas quickly. The repository emphasizes clear explanations and compact examples that demonstrate correct usage and common pitfalls. Many entries include comparative discussions, such as list vs tuple or...

pure sh bible is a collection of shell scripting recipes written strictly in POSIX sh, without relying on Bash-only or external utilities unless absolutely necessary. The goal is to show that you can do a surprising amount with just portable, “pure” shell, which makes your scripts work across many Unix-like systems out of the box. Each snippet solves a common task (string handling, arrays, math, file operations, argument parsing) and is written in a way that favors clarity and portability...

pure-bash-bible is a collection of pure Bash scripting techniques that demonstrate how to accomplish common and complex tasks using only built-in Bash features. Its goal is to reduce reliance on external tools like sed, awk, or grep, which can slow down scripts and add unnecessary dependencies. The project is organized as a reference book of function-based code snippets, each showcasing practical solutions for string manipulation, text processing, file operations, and more. By relying...

" Deep Learning " is the only comprehensive book in the field of deep learning. The full name is also called the Deep Learning AI Bible (Deep Learning) . It is edited by three world-renowned experts, Ian Goodfellow, Yoshua Bengio, and Aaron Courville. Includes linear algebra, probability theory, information theory, numerical optimization, and related content in machine learning. At the same time, it also introduces deep learning techniques used by practitioners in the industry, including...