Stream Processing and Analytics Vasiliki (Vasia) Kalavri
 vkalavri@bu.edu Spring 2020 4/09: Flow control and load shedding ??? Vasiliki Kalavri | Boston University 2020 Keeping up with the producers what if the queue grows larger than available memory? • block the producer (back-pressure, flow control) 2 ??? Vasiliki Kalavri | Boston University 2020 Load management approaches 3 ! Load shedder runtime and selectively drops tuples according to a QoS specification. • Similar to congestion control or video streaming in a lower quality. 4 ??? Vasiliki Kalavri | Boston University 2020 https://commons

. . . . . . . . . . . . . . . . . . . . 68 3 Frequently Asked Questions (FAQ) 69 3.1 How do I control the way my DataFrame is displayed? . . . . . . . . . . . . . . . . . . . . . . . . . 69 3.2 Adding . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75 4 Package overview 77 4.1 Data structures at a glance . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105 7 Intro to Data Structures 107 7.1 Series . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

List pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language. See the overview for more detail involves downloading the installer which is a few hundred megabytes in size. If you want to have more control on which packages, or have a limited internet bandwidth, then installing pandas with Miniconda may 3.1 Package overview pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with relational or labeled data both easy and intuitive. It aims to be

. . . . . . . . . . . . . . . . . . . 128 3 Frequently Asked Questions (FAQ) 129 3.1 How do I control the way my DataFrame is displayed? . . . . . . . . . . . . . . . . . . . . . . . . . 129 3.2 Adding . . . . . . . . . . . . . . . . . . . . . . . . . . . . 135 4 Package overview 137 4.1 Data structures at a glance . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 137 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 174 8 Intro to Data Structures 175 8.1 Series . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

. . . . . . . . . . . . . . . . . . . 100 3 Frequently Asked Questions (FAQ) 101 3.1 How do I control the way my DataFrame is displayed? . . . . . . . . . . . . . . . . . . . . . . . . . 101 3.2 Adding . . . . . . . . . . . . . . . . . . . . . . . . . . . . 107 4 Package overview 109 4.1 Data structures at a glance . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 109 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 145 8 Intro to Data Structures 147 8.1 Series . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

. . . . . . . . . . 16 3 Frequently Asked Questions (FAQ) 17 4 Package overview 19 4.1 Data structures at a glance . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20 5 Intro to Data Structures 23 5.1 Series . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 181 16 Sparse data structures 183 16.1 SparseArray . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

. . . . . . . . . . 16 3 Frequently Asked Questions (FAQ) 17 4 Package overview 19 4.1 Data structures at a glance . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20 5 Intro to Data Structures 23 5.1 Series . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 181 16 Sparse data structures 183 16.1 SparseArray . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

. . . . . . . . . . 20 3 Frequently Asked Questions (FAQ) 21 4 Package overview 23 4.1 Data structures at a glance . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24 5 Intro to Data Structures 27 5.1 Series . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 192 16 Sparse data structures 195 16.1 SparseArray . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 379 3.3.1 Version control, Git, and GitHub . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 379 3.3.2 Getting . . . . . . . . . . . . . . . . . . . . . . . . . . . . 394 4 Package overview 395 4.1 Data structures at a glance . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 395 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 460 8 Intro to Data Structures 461 8.1 Series . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

. . . . . . . . . . . . . . . . . . . . . . . . . . . . 243 5 Package overview 245 5.1 Data structures at a glance . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 245 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 306 9 Intro to Data Structures 307 9.1 Series . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . eval() (Experimental) . . . . . . . . . . . . . . . . . . . . . . . . . . . 867 27 Sparse data structures 875 27.1 SparseArray . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .