Vasiliki Kalavri | Boston University 2020 Course Information • Instructor: Vasiliki Kalavri • Office: MCS 206 • Contact: vkalavri@bu.edu • Course Time & Location: Tue,Thu 9:30-10:45, MCS B33 assignment announcements & submissions 3 Vasiliki Kalavri | Boston University 2020 What is this course about? The design and architecture of modern distributed streaming 4 Fundamental for representing Platform: cloud.google.com 5 Vasiliki Kalavri | Boston University 2020 Outcomes At the end of the course, you will hopefully: • know when to use stream processing vs other technology • be able to comprehensively

2024/3/7 20:44 Rust算法教程 The Algos (algorithms) https://algo.course.rs/print.html 1/270 Algos算法教程 Rust作为⼀⻔现代化的系统编程语⾔，拥有与C/C++类似的性能，同时⼜能做⾮常底层的性能优 化，因此⾮常适合写算法和leetcode。 Algos 算法教程涵盖了各种常⽤算法和数据结构的代码实现， ⼊进来，共同打造这⻔未来可以在中国乃⾄ 全世界都排得上号的算法教程！ 2024/3/7 20:44 Rust算法教程 The Algos (algorithms) https://algo.course.rs/print.html 2/270 排序算法 所谓排序，就是使⼀串记录，按照其中的某个或某些关键字的⼤⼩，递增或递减的排列起来的操 作。排序算法，就是如何使得记录按照要求排列的⽅法。排序算法在很多领域得到相当地重视，尤 20:44 Rust算法教程 The Algos (algorithms) https://algo.course.rs/print.html 3/270 2024/3/7 20:44 Rust算法教程 The Algos (algorithms) https://algo.course.rs/print.html 4/270 冒泡排序 pub fn bubble_sort(arr:

Ubuntu Desktop Training Ubuntu Desktop Course Copyright © 2009 Canonical Limited Ubuntu Desktop Training Written by and attributed to Canonical Ltd. and the Ubuntu Training community 2008-2009. This org/licenses/by-nc-sa/3.0/legalcode Student Guide Copyright © 2009 Canonical Limited Table of Contents Course Overview .............................................. vii 1. Target Audience and Pre-requisites 7. Additional Applications ..................... 155 iv Ubuntu Desktop Training Ubuntu Desktop Course Copyright © 2009 Canonical Limited 4.7.1. GnuCash Accounting .............. 155 4.8. Lesson Summary

name = CharField() class Course(Model): name = CharField() class StudentCourse(Model): student = ForeignKeyField(Student) course = ForeignKeyField(Course) To query, let’s say we want join(StudentCourse) .join(Course) .where(Course.name == 'math')) for student in query: print student.name To query what classes a given student is enrolled in: courses = (Course .select() join(StudentCourse) .join(Student) .where(Student.name == 'da vinci')) for course in courses: print course.name To efficiently iterate over a many-to-many relation, i.e., list all students

Student(Model): name = CharField() class Course(Model): name = CharField() class StudentCourse(Model): student = ForeignKeyField(Student) course = ForeignKeyField(Course) To query, let’s say we want to find join(StudentCourse) .join(Course) .where(Course.name == 'math')) for student in query: print student.name To query what classes a given student is enrolled in: courses = (Course .select() .join(StudentCourse) name == 'da vinci')) 1.10. Foreign Keys 71 peewee Documentation, Release 2.10.2 for course in courses: print course.name To efficiently iterate over a many-to-many relation, i.e., list all students and

'val2-2'), ('val3-1', 'val3-2')] MyModel.insert_many(data, fields=fields) # You can, of course, wrap this in a transaction as well: with db.atomic(): MyModel.insert_many(data, fields=fields) order by the count, which was aliased to "ct" query = query.order_by(SQL('ct')) # You could, of course, also write this as: query = query.order_by(fn.COUNT(Tweet.id)) There are two ways to execute hand-crafted name = CharField() class Course(Model): name = CharField() class StudentCourse(Model): student = ForeignKeyField(Student) course = ForeignKeyField(Course) To query, let’s say we want

('val3-1', 'val3-2')] MyModel.insert_many(data, fields=fields).execute() # You can, of course, wrap this in a transaction as well: with db.atomic(): MyModel.insert_many(data, fields=fields) name = CharField() class Course(Model): name = CharField() class StudentCourse(Model): student = ForeignKeyField(Student) course = ForeignKeyField(Course) To query, let’s say we want join(StudentCourse) .join(Course) .where(Course.name == 'math')) for student in query: print(student.name) To query what classes a given student is enrolled in: courses = (Course .select()

('val3-1', 'val3-2')] MyModel.insert_many(data, fields=fields).execute() # You can, of course, wrap this in a transaction as well: with db.atomic(): MyModel.insert_many(data, fields=fields) order by the count, which was aliased to "ct" query = query.order_by(SQL('ct')) # You could, of course, also write this as: query = query.order_by(fn.COUNT(Tweet.id)) There are two ways to execute hand-crafted name = CharField() class Course(Model): name = CharField() class StudentCourse(Model): student = ForeignKeyField(Student) course = ForeignKeyField(Course) To query, let’s say we want

'val2-2'), ('val3-1', 'val3-2')] MyModel.insert_many(data, fields=fields) # You can, of course, wrap this in a transaction as well: with db.atomic(): MyModel.insert_many(data, fields=fields) order by the count, which was aliased to "ct" query = query.order_by(SQL('ct')) # You could, of course, also write this as: query = query.order_by(fn.COUNT(Tweet.id)) There are two ways to execute hand-crafted name = CharField() class Course(Model): name = CharField() class StudentCourse(Model): student = ForeignKeyField(Student) course = ForeignKeyField(Course) To query, let’s say we want