11040804.pdf Source: https://www.slideshare.net/brendangregg/kernel-recipes-2017-performance-analysis-with-bpf Workflow  o Source: ebpfbasics-190611051559.pdf 2.2 Source: ebpfbasics-190611051559.pdf Source: https://kernel-recipes.org/en/2017/talks/performance-analysis-with-bpf/ bpf() system call  http://www.man7.org/linux/man-pages/man2/bpf.2.html Source: https://ossna2017.sched.com/event/BCsg/making-the-kernels-networking-data- path-programmable-with-bpf-and-xdp-daniel-borkmann-covalent GCC (GCC support for

............................................................................ 15 OOP IN PYTHON – DATA STRUCTURES ...................................................................................... ............................................................ 34 Working with Class and Instance Data ................................................................................................. techniques used for modelling complex systems by describing a collection of interacting objects via their data and behavior. Python, an Object Oriented programming (OOP), is a way of programming that focuses

working with Python 5.1. Variable 5.2. Expressions and statement 5.3. Comment 5.4. Indentation 6. Data Types 7. Operators 7.0.1. Assignment operator 7.0.2. Arithmetic operator 7.0.3. Comparison operator automation, Web development are just some basic examples. Python is the language of choice for data analysis and machine learning, but it can also adapt to create games and work with embedded devices. later on. 6. Data Types Python has several built-in types. 24 If you create the name variable assigning it the value "Roger", automatically this variable is now representing a String data type. name

. . . . . . . . . . . . . . . . . . . . . . . 83 7.3 struct —Interpret strings as packed binary data . . . . . . . . . . . . . . . . . . . . . . . . . . . . 99 7.4 difflib —计算差异的辅助工具 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 810 18.12 base64 —RFC 3548: Base16, Base32, Base64 Data Encodings . . . . . . . . . . . . . . . . . . . . 814 18.13 binhex —对 binhex4 文件进行编码和解码 . . . . . 多媒体服务 1003 21.1 audioop —Manipulate raw audio data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1003 21.2 imageop —Manipulate raw image data . . . . . . . . . . . . . . . . . . . . .

. . . . . . . . . . . . . . . . . . . . . . . 83 7.3 struct —Interpret strings as packed binary data . . . . . . . . . . . . . . . . . . . . . . . . . . . . 99 7.4 difflib —计算差异的辅助工具 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 810 18.12 base64 —RFC 3548: Base16, Base32, Base64 Data Encodings . . . . . . . . . . . . . . . . . . . . 814 18.13 binhex —对 binhex4 文件进行编码和解码 . . . . . 多媒体服务 1003 21.1 audioop —Manipulate raw audio data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1003 21.2 imageop —Manipulate raw image data . . . . . . . . . . . . . . . . . . . . .

. . . . . . . . . . . . . . . . . . . . . . . 83 7.3 struct —Interpret strings as packed binary data . . . . . . . . . . . . . . . . . . . . . . . . . . . . 99 7.4 difflib —计算差异的辅助工具 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 810 18.12 base64 —RFC 3548: Base16, Base32, Base64 Data Encodings . . . . . . . . . . . . . . . . . . . . 814 18.13 binhex —对 binhex4 文件进行编码和解码 . . . . . 多媒体服务 1003 21.1 audioop —Manipulate raw audio data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1003 21.2 imageop —Manipulate raw image data . . . . . . . . . . . . . . . . . . . . .

Real-time Amazon CloudWatch Events Decouple state from code using messaging Track status of data and execution Remove redundant code Build workflows to orchestrate everything Submit Job Wait orchestration AWS Fargate Serverless event-driven code execution Short-lived All language runtimes Data source integrations AWS Lambda Serverless for Functions and Containers Lambda layers Let functions code; upload layer once, reference within any function Layer can be anything: Dependencies, training data, configuration files, etc. Promote separation of responsibilities and let developers iterate faster

migrations to apps Reversing migrations Historical models Considerations when removing model fields Data Migrations Squashing migrations Serializing values Supporting multiple Django versions Managing files Using different versions of available software Serializing Django objects Serializing data Deserializing data Serialization formats Natural keys Django settings The basics Designating the settings reporting Email reports Filtering error reports How to provide initial data for models Provide initial data with migrations Provide data with fixtures How to integrate Django with a legacy database Give

migrations to apps Reversing migrations Historical models Considerations when removing model fields Data Migrations Squashing migrations Serializing values Supporting multiple Django versions Managing files Using different versions of available software Serializing Django objects Serializing data Deserializing data Serialization formats Natural keys Django settings The basics Designating the settings reporting Email reports Filtering error reports How to provide initial data for models Provide initial data with migrations Provide data with fixtures How to integrate Django with a legacy database Give

migrations to apps Reversing migrations Historical models Considerations when removing model fields Data Migrations Squashing migrations Serializing values Supporting multiple Django versions Managing files Using different versions of available software Serializing Django objects Serializing data Deserializing data Serialization formats Natural keys Django settings The basics Designating the settings reporting Email reports Filtering error reports How to provide initial data for models Provide initial data with migrations Provide data with fixtures How to integrate Django with a legacy database Give