约1000页的原文C/C++之电子书(one pdf file)，是本很实用的参考书。另外在书的后面还附有由C语言过渡到C++的差异，另亦付物件导向程式的说明

Kernighan和Ritchie的《The C Programming Language》（中译名《C程序设计语言》）第2版（新版）【计算机科学经典著作】

The C Programming language(c程序设计语言) K&R经典, 中文及英文版(chm,pdf) 国内引用的人多, 看的人少. 如果你真的认真读读, 相信会有很大收获.

The C Programming Language 第二版(中英两本)-高清带目录

IEML IEML是一种常规的语言语言（作为自然语言构建），其语法与语义平行。 这意味着在IEML中，表达式结构的微小变化会导致语义上接近的表达式。 例如： [! E:S:. ()(uA:.-) > E:.l.- (E:.-U:.s.-l.-')] [! E:S:. ()(uA:.-) > E:.l.- (E:.-U:.s.-l.-')] ：向上 [! E:S:. ()(uA:.-) > E:.l.- (E:.-U:.d.-l.-')] [! E:S:. ()(uA:.-) > E:.l.- (E:.-U:.d.-l.-')] ：下移 仅E:.-U:. s .-l.-' （向上）已更改为E:.-U:. d .-l.-' （向下）。 这些属性使得通过编辑距离计算可以自动计算语言的不同表达之间的语义关系。 因此，该语言中没有同义词，因为通过构造，这些同义词将被相同地编写。 另一方面，用I

副标题: Mastering Basic Algorithms in the Python Language 作者: Magnus Lie Hetland 出版社: Apress 出版年: 2010-11-24 页数: 336 定价: USD 49.99 装帧: Paperback ISBN: 9781430232377 内容简介 · · · · · · 　　Python Algorithms explains the Python approach to algorithm analysis and design. Written by Magnus Lie Hetland, author of Beginning Python, this book is sharply focused on classical algorithms, but it also gives a solid understanding of fundamental algorithmic problem-solving techniques. * The book deals with some of the most important and challenging areas of programming and computer science, but in a highly pedagogic and readable manner. * The book covers both algorithmic theory and programming practice, demonstrating how theory is reflected in real Python programs. * Well-known algorithms and data structures that are built into the Python language are explained, and the user is shown how to implement and evaluate others himself. What you'll learn * Transform new problems to well-known algorithmic problems with efficient solutions, or show that the problems belong to classes of problems thought not to be efficiently solvable. * Analyze algorithms and Python programs both using mathematical tools and basic experiments and benchmarks. * Prove correctness, optimality, or bounds on approximation error for Python programs and their underlying algorithms. * Understand several classical algorithms and data structures in depth, and be able to implement these efficiently in Python. * Design and implement new algorithms for new problems, using time-tested design principles and techniques. * Speed up implementations, using a plethora of tools for high-performance computing in Python. Who this book is for The book is intended for Python programmers who need to learn about algorithmic problem-solving, or who need a refresher. Students of computer science, or similar programming-related topics, such as bioinformatics, may also find the book to be quite useful. Table of Contents * Introduction * Th

《R for Data Science》这本书籍是数据科学领域学习R语言的必备工具书。英文版简单，易上手。

The C Programming Language是C语言的经典书籍，程序员必备的学习、参考资料，这里把第二版的中文、英文原版和习题答案、高清电子版一起打包。

MacBERT：重新审视中文自然语言处理的预训练模型（EMNLP的发现）

里面都是干货啊，这种比较好的文档肯定是英文的，好东西还要多看几遍才能掌握i