Archive for : February, 2020

20200216从德国到中国Deutschland nach China

病毒疫情的发展终究还是影响到了我们去中国的行程。但是相比于上个星期,我开始减少阅读关于病毒的新闻,并且把重心放在了清理家里的杂物和搬家上。

So oder so hat die Entwicklung der Virusepidemie unsere Reise nach China beeinflusst. Aber im Vergleich zur letzten Woche las ich weniger Nachrichten über den Virus und konzentrierte mich darauf, das Haus aufzuräumen und umzuziehen.

2020年python学习笔记

2020年初,我开始了新的语言学习。不同于以往的自然语言学习,如法语,德语,英语,今年我要开始系统得学习编程语言,侧重于python和R。其实我对data science 一直有兴趣,但是却一直没有时间。给自己一年的时间来系统学习关于IT automation是个不错的选择。

课程是coursera网上课程Google IT Automation with Python。依旧是课程介绍英翻中。

This new beginner-level, six-course certificate, developed by Google, is designed to provide IT professionals with in-demand skills — including Python, Git, and IT automation — that can help you advance your career.

这是一个初学者级别的6个课程的证书(我又买网上课程了。。。因为不花钱真心没动力完成它)。这个证书课程的设计是提供给IT专家们一系列的技能,包括python,Git,和IT自动化。这些技能可以推动你的事业的发展。

Knowing how to write code to solve problems and automate solutions is a crucial skill for anybody in IT. Python, in particular, is now the most in-demand programming language by employers.

知道如何写代码来解决问题和自动化解决方案是对IT领域的任何人都非常重要的技能。Python尤其是最近雇主尤其需要的编程语言。

This program builds on your IT foundations to help you take your career to the next level. It’s designed to teach you how to program with Python and how to use Python to automate common system administration tasks. You’ll also learn to use Git and GitHub, troubleshoot and debug complex problems, and apply automation at scale by using configuration management and the Cloud.

这个课程可以帮助你带领你的职业生涯到新的领域。它的设计是教你如何用Python编程以及如何用Python自动化普通系统管理任务。你也将学习如何用Git和GitHub来排查故障和排错,以及利用设定管理和云来执行大规模的自动化管理。

1.Crash course on python. This course is designed to teach you the foundations in order to write simple programs in Python using the most common structures. No previous exposure to programming is needed. By the end of this course, you’ll understand the benefits of programming in IT roles; be able to write simple programs using Python; figure out how the building blocks of programming fit together; and combine all of this knowledge to solve a complex programming problem. We’ll start off by diving into the basics of writing a computer program. Along the way, you’ll get hands-on experience with programming concepts through interactive exercises and real-world examples. You’ll quickly start to see how computers can perform a multitude of tasks — you just have to write code that tells them what to do.

第一个课程是python的速成课。这个课程的设计是教授如何用python用最普遍的结构来写简单的程序。不需要有编程知识(姐有)。在这个课程结束后,你将会理解编程在IT领域的好处,可以用Python写简单的程序,可以理解编程的各个模块如何匹配在一起,并且结合这些知识来解决一个复杂的编程问题。我们将首先学习编程的基础知识。接着,你会通过互动练习和现实案例来得到编程经验。你将很快了解到电脑如何可以处理数量级别的任务。你将学会如何写代码来告诉他们如何执行任务。

2.Using Python to interact with the operating system. By the end of this course, you’ll be able to manipulate files and processes on your computer’s operating system. You’ll also have learned about regular expressions — a very powerful tool for processing text files — and you’ll get practice using the Linux command line on a virtual machine. And, this might feel like a stretch right now, but you’ll also write a program that processes a bunch of errors in an actual log file and then generates a summary file. That’s a super useful skill for IT Specialists to know. We’ll kick off by exploring how to execute Python locally, and organize and use code across different Python files. We’ll then learn how to read and write different types of files, and use subprocesses and input streams. We’ll also dive into Bash scripting and regular expressions — both very powerful tools for anyone working with systems. We’ll even touch on automatic testing, which allow us to automate how we check if our code is correct. To finish, we’ll put all this together by using the tools that we’ve acquired to process data and generate automatic reports. We’ll also explain how to set up your own developer environment in your machine. This is a key step in being able to write and deploy powerful automation tools.

第二个课程是用Python与操作系统互动。课程结束后,你将能够操纵你的操作系统里的文件和进程。你将学习正则表达式(regular expressions)- 一个非常强大的处理文本文档的工具, 并且你将会学习在linux虚拟机里写命令符。

3.Introduction to Git and Github. In this course, you’ll learn how to keep track of the different versions of your code and configuration files using a popular version control system (VCS) called Git. We’ll also go through how to setup an account with a service called GitHub so that you can create your very own remote repositories to store your code and configuration. Throughout this course, you’ll learn about Git’s core functionality so you can understand how and why it’s used in organizations. We’ll look into both basic and more advanced features, like branches and merging. We’ll demonstrate how having a working knowledge of a VCS like Git can be a lifesaver in emergency situations or when debugging. And then we’ll explore how to use a VCS to work with others through remote repositories, like the ones provided by GitHub. By the end of this course, you’ll be able to store your code’s history in Git and collaborate with others in GitHub, where you’ll also start creating your own portfolio! In order to follow along and complete the assessments, you’ll need a computer where you can install Git or ask your administrator to install it for you.

4.Troubleshooting and debugging techniques. In this course, we’ll give you the tools to quickly identify and solve real-world problems that you might come across in your IT role. We’ll look at a bunch of different strategies and approaches for tackling the most common pitfalls of your code and IT infrastructure. You’ll learn strategies for approaching almost any technical problem and then see how those apply to solving different real-world scenarios. We picked examples that include general system issues, issues with software that someone else wrote, and issues with programs that we wrote. We’ll talk about problems that can affect any operating system, and we’ll also look at challenges specific to certain platforms and scripting languages. We strongly recommend that you’ve taken the prior courses in this program, or already have knowledge of Python and Linux so that you can follow along with our troubleshooting examples.

5. Configuration management and the Cloud. In this course, you’ll learn how to apply automation to manage fleets of computers. You’ll understand how to automate the process for deploying new computers, keeping those machines updated, managing large-scale changes, and a lot more. We’ll discuss managing both physical machines running in our offices and virtual machines running in the Cloud. We’ll start by looking into an automation technique called configuration management, which lets you manage the configuration of our computers at scale. Specifically, you’ll learn how to use Puppet, the current industry standard for configuration management. We’ll look at some simple examples, and then see how we can apply the same concepts to more complex cases. You’ll be a Puppet-master in no time! Later on, you’ll expand your automation skills by understanding how to use the Cloud to help scale your infrastructure. You’ll check out some best practices for handling hundreds of virtual machines running in the Cloud and troubleshooting them when things don’t go according to plan.

6.Automating real-world tasks with Python. In the final course, we’ll tie together the concepts that you’ve learned up until now. You’ll tackle real-world scenarios in Qwiklabs that will challenge you to use multiple skills at once. First, we’ll take a closer look at how to use external Python modules to extend your code’s capabilities, and spend some time learning how to use documentation to learn a new module. For example, we’ll use the Python Image Library (PIL) to create and modify images. We’ll show you some simple examples of how to perform common tasks in the course material, but it will be up to you to explore the module documentation to figure out how to solve specific problems. Next, we’ll show you how to communicate with the world outside of your code! You’ll use data serialization to turn in-memory objects into messages that can be sent to other programs. Your program will send messages across the network to Application Programming Interfaces (APIs) offered by other programs. For those times when your code needs to talk to a person instead of a program, you’ll also learn to send email messages. At the end of this course, you’ll be able to take a description of a problem and use your skills to create a solution — just like you would on the job. In your final capstone project, you’ll be given a description of what your customer needs, and it will be up to you to create a program to do it!

2020年哲学-学习笔记

2020年的开门一炮,我要学习哲学。 为什么我突然想要学习哲学?在一本叫做”24史中国历史通俗读本”的书里,作者创立了一个命运模型。模型里包括几个参数:家庭出身,资质(情商+智商),志向,胆量,人生哲学。由于家庭出身,志向,胆量是我不能控制的因素,我要开始调节资质与人生哲学这两个因素。

因此在coursera这个平台上找到一个爱丁堡大学The university of Edinburgh的网课:Philosophy and the Sciences 哲学与科学。

What is the origin of our universe? What are dark matter and dark energy? This is the first part of the course ‘Philosophy and the Sciences’, dedicated to Philosophy of the Physical Sciences. Scientific research across the physical sciences has raised pressing questions for philosophers. The goal of this course is to introduce you to some of the main areas and topics at the key juncture between philosophy and the physical sciences.

我们宇宙的起源是什么?什么是暗物质和黑暗能量?人们在物理科学研究的过程中也触发了对哲学家们的提问。这个课程的目的是介绍有关哲学和物理科学关节重叠处的主要领域和话题。

Each week we will introduce you to some of these important questions at the forefront of scientific research. We will explain the science behind each topic in a simple, non-technical way, while also addressing the philosophical and conceptual questions arising from it. We’ll consider questions about the origin and evolution of our universe, the nature of dark energy and dark matter and the role of anthropic reasoning in the explanation of our universe.

这个课程将每周提出科学研究中的前沿科学研究,用简单非技术性的语言来解释每个话题背后的科学原理,同时也强调由此引发的哲学和概念问题。 我们将考虑关于我们宇宙的起源和进化,黑暗能量和暗物质以及人类学推论。

Learning Objectives Gain a fairly well-rounded view on selected areas and topics at the intersection of philosophy and the sciences. Understand some key questions, and conceptual problems arising in the natural sciences. Develop critical skills to evaluate and assess these problems.

学习的目标是对哲学和科学的交叉领域有一个全面的看法。理解自然科学中衍生的关键问题和概念问题。锻炼评估这些问题的辩证能力。