## V isualize Time Enabled Data using ArcGIS Qt (C++) and Toolkit Gela Malek Pour gmalekpour@esri.com ## About Esri • We build mapping technology that our customers use to solve the world’s most complex visualize time enabled data • Setup the development environment using Esri templates • Use the ArcGIS toolkit to use already existing UI components ## Time aware layer • We will be using a feature layer Time Data Cumulative: false Time Offset: 0 Time Offset Units: esriTimeUnitsCenturies ## ArcGIS Runtime for Qt - SDK • The Qt SDK allows you to build cross platform desktop and mobile apps • Incorporate

### Go 1.4 runtime Gopher China 2015 1. Memory Allocator 2. Garbage Collector 3. Goroutine Scheduler  ### 1. Memory Allocator

Rust 异步 Runtime 的兼容层 施继成 @ DatenLord ## [Table_CompanyName] 6.17-6.18 @Shanghai ## Table of Contents ## # Rust async runtime Introduce what's rust async runtime 2 ## #Async runtime binding Analyze the reason of runtime isolation 3 ## # Compatible layer Create a wheel used everywhere ## 1 # Rust async runtime ## Rust async runtime ![Image](/uploads/documents/d/6/e/3/d6e343b36a54b928 tasks • How to run it? • When to run it? • How does it deal with the I/O? ## Rust async runtime ## Runtime responsibilities • Invoke waiting tasks and halt tasks • Get notifications from the OS •

## Designing an ultra low-overhead multithreading runtime for Nim Mamy Ratsimbazafy mamy@numforge.co ## Hello! ## I am Mamy Ratsimbazafy During the day blockchain/Ethereum 2 developer (in Nim) During multithreading: definitions and use-cases Parallel APIs Sources of overhead and runtime design Minimum viable runtime plan in a weekend ## Understanding the design space Concurrency vs parallelism, hardware threads The same distinctions can be done at a multithreaded language or multithreading runtime level. ## The problem ## How to schedule M tasks on N hardware threads? ## Latency vs Throughput

## Go runtime related problems in TiDB production environment ## About me Arthur Mao(毛康力), Senior Engineer@PingCAP • TiDB core developer (top3 contributor) • GitBook about golang internals (@tiancaiamao) ready => goroutine wake up == 4.3ms ☐ Sometime even 10ms+ latency here! ☐ The time spend on runtime schedule is not negligible - When CPU is overload, which goroutine should be given priority? ## client lib ## Conclusion - Under heavy workload, goroutines get longer to be scheduled - The runtime scheduling does not consider priority • CPU dense workload could affect IO latency ## Part II -

## +21 ## Testing Compile-time Constructs Within a Runtime Unit Testing Framework ## I GOR BOGOSLAVSKYI 20 21 October 24-29 ## We use C++ (14) for safety-critical applications that we deliver to our

## Nim - the first high performance language with full support for hot codereloading at runtime by Viktor Kirilov ## Me, myself and I • my name is Viktor Kirilov - from Bulgaria • creator of doctest double=""> x; 2 x $$ 6 $$ = 91.4; c2nim tool - generate C/C++ bindings for Nim ## Runtime compilation - WHY • much faster iteration times ■ no need to restart the program - can preserve powerful ■ fine-tuning values • interactive (REPL-like): very useful for exploration and teaching ## Runtime compilation for C/C++: HOW • replacing entire functions: using shared libraries OR hot-patching:

# pandas: powerful Python data analysis toolkit Release 0.19.0 Wes McKinney & PyData Development Team Oct 02,2016 ## What’s New 3 1.1 v0.19.0 (October 2, 2016) 3 1.1.1 New features 5 merge_asof of month, and 15th and 1st of month respectively. (GH1543) pandas: powerful Python data analysis toolkit, Release 0.19.0 In [44]: from pandas.tseries.offsets import SemiMonthEnd, SemiMonthBegin ## SemiMonthEnd: 2010-01-01 09:00:00 0.485748 0.971495 0.447351 0.894701 ## pandas: powerful Python data analysis toolkit, Release 0.19.0 2010-01-01 09:00:02 0.820801 1.641602 0.794317 1.588635 2010-01-01 09:00:04 0.433985

pandas: powerful Python data analysis toolkit Release 0.20.3 Wes McKinney & PyData Development Team Jul 07, 2017 CONTENTS 1 What’s New 3 1.1 v0.20.3 (July 7, 2017) . . . . . . . . . . . . . . . . . . . . . . . . . . 1995 Python Module Index 1997 xlvi pandas: powerful Python data analysis toolkit, Release 0.20.3 PDF Version Zipped HTML Date: Jul 07, 2017 Version: 0.20.3 Binary Installers: http://pypi regressions, date shifting and lagging, etc. CONTENTS 1 pandas: powerful Python data analysis toolkit, Release 0.20.3 Many of these principles are here to address the shortcomings frequently experienced

# pandas: powerful Python data analysis toolkit Release 0.15.1 Wes McKinney & PyData Development Team November 08, 2014 Powered by TCPDF (www.tcpdf.org) ## CONTENTS 1 What's New 3 1.1 v0.15 However consider the fact that many tables on the web are not big enough for the parsing algorithm runtime to matter. It is more likely that the bottleneck will be in the process of reading the raw text from BeautifulSoup4. ## Note: Unless you have both: • A strong restriction on the upper bound of the runtime of some code that incorporates read_html() • Complete knowledge that the HTML you will be parsing