Python猫



Python猫

Go的语法很大程度上借鉴了C——花括号作为定界符,语句以分号结束,等等。精通C的开发人员通常可以毫不费力地直接使用Go,甚至算上Go的独有功能,如命名空间和包管理,对开发人员来说也并不困难。

代码可读性是Go的指导设计目标之一:让开发人员可以轻松掌握任何Go项目,并在短时间内熟练掌握代码库。C代码库可能很难理解,因为它们很容易聚集大量专属于某个项目或某个团队的宏和和#ifdef。Go的语法及其内置的代码格式以及项目管理工具旨在避免这种结构性问题。

Go还提供了诸如goroutine和channel之类的附加功能,用于处理并发性和组件之间的消息传递的语言级别的工具。C需要开发者手动完成或由外部库提供,但Go提供了开箱即用的这些功能,使得构建需要这些功能的软件变得更加容易。

Go与C最深层次的不同之处在于内存管理方面。默认情况下,Go的对象会被自动管理并自动进行回收。对于大多数编程工作来说,这非常方便。但这也意味着任何需要确定性处理内存的程序都会更难编写。

Go确实包含了用于绕过Go的某些类型处理安全性的unsafe包,例如使用Pointer类型读取和写入任意内存。但unsafe会附带一个warning说用它编写的程序"可能是不可移植的,并且不受Go 1兼容性指南的保护。"


Read full article from Python猫


No comments:

Post a Comment

Labels

Algorithm (219) Lucene (130) LeetCode (97) Database (36) Data Structure (33) text mining (28) Solr (27) java (27) Mathematical Algorithm (26) Difficult Algorithm (25) Logic Thinking (23) Puzzles (23) Bit Algorithms (22) Math (21) List (20) Dynamic Programming (19) Linux (19) Tree (18) Machine Learning (15) EPI (11) Queue (11) Smart Algorithm (11) Operating System (9) Java Basic (8) Recursive Algorithm (8) Stack (8) Eclipse (7) Scala (7) Tika (7) J2EE (6) Monitoring (6) Trie (6) Concurrency (5) Geometry Algorithm (5) Greedy Algorithm (5) Mahout (5) MySQL (5) xpost (5) C (4) Interview (4) Vi (4) regular expression (4) to-do (4) C++ (3) Chrome (3) Divide and Conquer (3) Graph Algorithm (3) Permutation (3) Powershell (3) Random (3) Segment Tree (3) UIMA (3) Union-Find (3) Video (3) Virtualization (3) Windows (3) XML (3) Advanced Data Structure (2) Android (2) Bash (2) Classic Algorithm (2) Debugging (2) Design Pattern (2) Google (2) Hadoop (2) Java Collections (2) Markov Chains (2) Probabilities (2) Shell (2) Site (2) Web Development (2) Workplace (2) angularjs (2) .Net (1) Amazon Interview (1) Android Studio (1) Array (1) Boilerpipe (1) Book Notes (1) ChromeOS (1) Chromebook (1) Codility (1) Desgin (1) Design (1) Divide and Conqure (1) GAE (1) Google Interview (1) Great Stuff (1) Hash (1) High Tech Companies (1) Improving (1) LifeTips (1) Maven (1) Network (1) Performance (1) Programming (1) Resources (1) Sampling (1) Sed (1) Smart Thinking (1) Sort (1) Spark (1) Stanford NLP (1) System Design (1) Trove (1) VIP (1) tools (1)

Popular Posts