A Crash Course in Calendars, Dates, Time, and Time Zones## +21 ## A Crash Course in Calendars, Dates, Time, and Time Zones ## MARC GREGOIRE ## Marc Grégoire □ Belgium ☐ Software architect for Nikon Metrology ☐ Microsoft VC++ MVP Since 2007  ## Dive Into Compile-Time Parsers Libraries Use Cases Implementation Techniques Reflection  required for real-time controls  ## Robotics Hardware Development • Requirements known well ahead of time • Mechanical and0 码力 | 45 页 | 20.73 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.7.34 Credits 24 4.5 Development Team 24 4.6 License 24 5 Intro to Data Structures 27 5.1 Series 27 5.2 DataFrame 31 5.3 Panel 44 6 Essential basic functionality 49 6.1 Head and Tail cross-tabulations ..... 161 13 Time Series / Date functionality ..... 165 13.1 DateOffset objects ..... 165 13.2 Generating date ranges (DateRange) ..... 167 13.3 Time series-related instance methods plyr 209 20.5 reshape / reshape2 209 21 API Reference 211 21.1 General functions 211 21.2 Series 226 21.3 DataFrame 248 21.4 Panel 284 Python Module Index 285 Python Module Index 2870 码力 | 297 页 | 1.92 MB | 2 年前3
Just-In-Time Compilation: The Next Big Thing## CPPCON / 16TH SEPTEMBER 2020 ## JUST-IN-TIME COMPILATION: THE NEXT BIG THING? BEN DEANE & KRIS JUSIAK - QUANTLAB FINANCIAL ## AGENDA ## AGENDA ## • MOTIVATION ## AGENDA ## • MOTIVATION • EXISTING JITTING? - INSTEAD OF AHEAD-OF-TIME (AOT), AKA "THE NORM": IT'S LIKE THE APPLICATION (/LIBRARY) IS THE COMPILER... ## WHAT IS JITTING? - INSTEAD OF AHEAD-OF-TIME (AOT), AKA "THE NORM": APPLICATION (/LIBRARY) IS THE COMPILER... - JUST-IN-TIME (JIT) IS COMPILATION AT THE POINT OF NEED ## WHAT IS JITTING? - INSTEAD OF AHEAD-OF-TIME (AOT), AKA "THE NORM": IT'S LIKE THE APPLICATION0 码力 | 222 页 | 5.45 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.7.24 Credits 20 4.5 Development Team 20 4.6 License 20 5 Intro to Data Structures 23 5.1 Series 23 5.2 DataFrame 27 5.3 Panel 40 6 Essential basic functionality 43 6.1 Head and Tail cross-tabulations ..... 153 13 Time Series / Date functionality ..... 157 13.1 DateOffset objects ..... 157 13.2 Generating date ranges (DateRange) ..... 159 13.3 Time series-related instance methods plyr 197 20.5 reshape / reshape2 197 21 API Reference 199 21.1 General functions 199 21.2 Series 214 21.3 DataFrame 236 21.4 Panel 269 Python Module Index 271 Python Module Index 2730 码力 | 283 页 | 1.45 MB | 2 年前3
pandas: powerful Python data analysis toolkit - 0.19.0(October 2, 2016) 3 1.1.1 New features 5 merge_asof for asof-style time-series joining 5 .rolling() is now time-series aware 7 read_csv has improved support for duplicate column names 9 Other enhancements 15 1.1.2 API changes 18 Series.tolist() will now return Python types 18 Series operators for different indexes 18 Series type promotion on assignment 21 .to_datetime() 10.3 Bug Fixes 163 1.11 v0.15.0 (October 18, 2014) 164 1.11.1 New features 165 Categoricals in Series/DataFrame 165 TimedeltaIndex/Scalar 166 Memory Usage 169 .dt accessor 170 Timezone handling improvements0 码力 | 1937 页 | 12.03 MB | 2 年前3
Compile-Time Compression and Resource Generation with C++20## +21 ## Compile-Time Compression and Resource Generation with C++20 ## ASHLEY ROLL 20 21 October 24-29 ## I ntroduction Explore how C++20's constexper features can: • Generate data from code code at compile-time • Be used to construct: ☐ Lookup Tables Configuration Fuses ☐ Compressed Strings USB Descriptors ## Along the way • Introduce some libraries I created for this code • Discuss building compile-time libraries ## constexpr in Brief • Specifies a variable or function CAN appear in a constant expression • Constant expressions can be evaluated at compile-time • eg: ■ Array size0 码力 | 59 页 | 1.86 MB | 1 年前3
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