关于javascript:深入理解OSGiEquinox原理应用与最佳实践

无论你学习了多少种编程语言，你须要听从 Bob Martin 在《代码整洁之道》给出的编码和设计准则，能力成为一名业余的程序员。它是在你的编程职业生涯能给与你最大帮忙的技能。

以上所有清单的内容，列出了每个软件工程师都该学习的 5 种编程语言。

学习能提供不同编程范式的语言，是晋升编码技能的最佳路径。它能帮你无效地解决日常工作。

现实状况下，一个程序员的工具集里，应该蕴含一个靠近底层零碎的语言，比 C 或 C ++；一个面向对象的语言，比方 Java，Pythong 或 C ++；一个函数式编程语言，比方 Scala 或 Haskell；一个弱小的脚本语言，像 Perl、Python、Ruby 和 JavaScript。
工夫过的很快，曾经来到了 2020 年的年末，因为疫情的起因，我甚至感觉往年还没有开始就完结了。来到博客园也有了 3 年了，2017 年大四的我报名了一个嵌入式的培训班，因为物理业余不好找工作，破费了家里 2 万大洋，在培训班老师的领导下，抉择了博客园，写下了一篇博客。说实话，我感觉我在培训班中学到了好多好多货色，当初想想包含根底语法（C 语言），简略的数据结构，算法（SVM PCA），零碎设计（C 写抄一个爬虫我的项目）等等。学的很多，学会的简直没有，不是说培训班老师讲的不好，次要还是本人根底太差了。因而最初投递简历的时候，浙江的大公司，大华、海康都没有面试的机会，惟一面过的是宇视科技。我记得很分明，宇视给我开了 5000 的薪酬，如同还是外包岗，说一年后给转正有 6000 块。过后的我一心想要留在杭州，那时候的杭州房价曾经达到了 2W 了。我掐指一算，这个工资水平是买不了房子的啊，一个月根底生活费都要 3000 以上，还能攒多少钱呢？最初我决定加入考研二战，回到老家温习备考。

再见
five is five。考研二战期间齐全学不进去，果然考试成绩也就和一战大差不差，相比于第一次无奈承受考研落榜，国家线都没有过的苦楚，这一次，我有了一丝抉择的机会，去读非全日制研究生还是去工作。对于有一年的空窗期，为了这些沉没老本，必定是抉择了非全。尽管他不好听，受到社会的歧视，有书读总比没有强吧。受到复试的影响，决定根底非常差的我，决定开始吭经典书，CSAPP。
学渣就是学渣，看了两天就保持不上来了，博客也没有更新几天。想了想本人还是对 linux 感兴趣，来学 bash 吧。而后就开学了，从老师那边得悉应该要做深度学习，就又开始了学习 python。其实 python 还是保持下来了，因为本人花钱买了课，淘宝的盗版课程，看了好多，然而最初没有整顿放到博客园下面来。而且本地写的是在 txt 上的，放过来排版是针对麻烦。最初就不了了之。前面也陆陆续续写过一些博客，其实实现没实现很明确，如果是上的课，那必定是实现了，因为要期末嘛，如果是自学的内容，那都是大功告成了。总结一下：

《CSAPP》【40%】看了很多，然而博客没写，前面写在纸质笔记上。
《python 根底》【60%】看了很多，写在 txt 上，前面的对于 python 连贯数据库，爬虫，后端啥的都没有看
《西瓜书》【40%？】遗记了，大略也就是这几篇博客写的学到了，其余的要么没看，要么看了也没看懂。不过不重要了，当前反正也不搞机器学习了。
《逆向工程》书其实也没有看完，然而还是实现了一次逆向工程的作业了。尽管是对着 52pojie 上抄的。
《图论》致力学过，已经学的还行，当初曾经忘光了。
研一上学期就这样差不多草草的技术了，也没学到个啥。研一下开始，就开始学习深度学习，钻研了一下 Faster R-CNN, 看了看吴恩达的入门视频笔记，开了一门我最感兴趣的 linux 内核课程。第二次“重学”python。

《linux 操作系统内核构造》这既是一门课，也是我给本人挖的一个坑，填了好久好久，到当初还没有填完。两头停停动动，真的很慢。然而当前有机会还会补！

【Faster R-CNN 系列】这个是对着 tf 版本的源码浏览当前学习的，也是这个时候，发现研一学的除了根底语法其它啥也不会，什么包模块啊，装璜器啊，lambda 表达式啊，都不会。这个系列算是我对深度学习中最重要的一部分了吧。
这也是我努力学习 TensorFlow 和 Keras 的期间，google 的开发人员，真的让我一言难尽，我常常感觉本人是一个运维，次要指标是把 google 大佬们开源的代码 run 起来。最终我倒在了 TensorFlow2.0 刚进去的时候，在 TensorFlow1.3 刚更新，TensorFlow 刚进去有了 eager essentials 的时候，我慢慢的投入了 pytorch 的怀抱。最近在逼乎上说 tf2 挺好用，倒退的真的很好的时候，我情绪是简单的，我从一个动摇的 TensorFlow 使用者，到一个 TensorFlow 的黑粉，逢人就劝入门 torch，再到当初发现 torch 也不是那么完满，Keras 也有他优良的中央（比方 Keras 的 summary 函数，能够显示参数量）。感觉其实每个框架都大差不差，都是为了同一个目标的不同实现过程。选一款社区沉闷的，用起来之后，再理解一下另一款，加几个轮子应该就能够用的棘手了吧。
写到这里，不禁的感叹，是 MongDB, 还是 redis, 还是 Tairs。抉择 Flink 还是 Kafka。都是理解，应用，比照，而后在本人想着补充的一个过程吧。【下次做个 TensorFlow 和 pytorch 的比照补充版！】
其实，前面有抄 java 根底系列的笔记，然而就是缮写《java 核心技术 卷一》这个局部放在 github 上。算是 java 的入门了吧。

找工作
后面大部分都是基础知识的学习，到了研二下，疫情左右，就开始功利的学习了。SSM，vue，OS，计网，数据库，都是学习的重点，这个局部，也是因为过后工夫紧迫，简直没有工夫写入博客园，也感觉没有必要，值得一提的是，这个时间段，我当了 linux 内核课的助教，算是第二次持续学习内核了，又写了几篇相干博客。也是凭借这些货色，能让我找个还算能够的工作吧。
实际上，我感觉本人的内核学的真的不好，然而又真的不晓得该怎么去学，学来干什么。
机缘巧合，认为本人要成为一名客户端开发了，所以买了一本 android 的书，抄完。算是完结了吧。我不太像再用更多的工夫去钻研他了。Flutter 有缘再会。

将来
哎，写到这里，感觉本人挖的坑好多，不会的也好多，须要学习的也好多，真的很好受。瞻望一下 2021 年要写哪些博客吧，立个 Flag, 努力完成：

netty 系列博客：之前本人决定学，学到当初曾经丢了，明年首先捡起来，实现了再说
kafka 系列博客：包含 kafka 入门，kafka 和流计算之类的内容。仅次于 netty，亟待学习的一个方向
设计模式：课都买了，必定要看完。顺便出在博客园上吧。
redis：面试瞎学了一些，当初想看看源码学习一下，尽管我也不晓得想学什么。
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微服务：其实 kafka,redis, 微服务是买的三本书，这三本书作为明年的第一实现工作吧！
刚开始学编程不久，据说过什么是设计模式
由很长时间的编程教训，本人写了很多代码，其中用到了设计模式，然而本人却不晓得
学习过了设计模式，发现自己曾经在应用了，并且发现了一些新的模式挺好用的
浏览了很多他人写的源码和框架，在其中看到他人设计模式，并且可能体会设计模式的精妙和带来的益处。
代码写着写着，字节都没有意识到应用了设计模式，并且纯熟的写了进去。
设计模式介绍