Building Micropython with KEIL and Programming with Python on I.MX RT1050/1060 Rev
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Porta-SIMD: an Optimally Portable SIMD Programming Language Duke CS-1990-12 UNC CS TR90-021 May 1990
Porta-SIMD: An Optimally Portable SIMD Programming Language Duke CS-1990-12 UNC CS TR90-021 May 1990 Russ Tuck Duke University Deparment of Computer Science Durham, NC 27706 The University of North Carolina at Chapel Hill Department of Computer Science CB#3175, Sitterson Hall Chapel Hill, NC 27599-3175 Text (without appendix) of a Ph.D. dissertation submitted to Duke University. The research was performed at UNC. @ 1990 Russell R. Tuck, III UNC is an Equal Opportunity/Atlirmative Action Institution. PORTA-SIMD: AN OPTIMALLY PORTABLE SIMD PROGRAMMING LANGUAGE by Russell Raymond Tuck, III Department of Computer Science Duke University Dissertation submitte in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Department of Computer Science in the Graduate School of Duke University 1990 Copyright © 1990 by Russell Raymond Tuck, III All rights reserved Abstract Existing programming languages contain architectural assumptions which limit their porta bility. I submit optimal portability, a new concept which solves this language design problem. Optimal portability makes it possible to design languages which are portable across vari ous sets of diverse architectures. SIMD (Single-Instruction stream, Multiple-Data stream) computers represent an important and very diverse set of architectures for which to demon strate optimal portability. Porta-SIMD (pronounced "porta.-simm'd") is the first optimally portable language for SIMD computers. It was designed and implemented to demonstrate that optimal portability is a useful and achievable standard for language design. An optimally portable language allows each program to specify the architectural features it requires. The language then enables the compiled program to exploit exactly those fea. tures, and to run on all architectures that provide them. -
Pnw 2020 Strunk001.Pdf
Remote Sensing of Environment 237 (2020) 111535 Contents lists available at ScienceDirect Remote Sensing of Environment journal homepage: www.elsevier.com/locate/rse Evaluation of pushbroom DAP relative to frame camera DAP and lidar for forest modeling T ∗ Jacob L. Strunka, , Peter J. Gouldb, Petteri Packalenc, Demetrios Gatziolisd, Danuta Greblowskae, Caleb Makif, Robert J. McGaugheyg a USDA Forest Service Pacific Northwest Research Station, 3625 93rd Ave SW, Olympia, WA, 98512, USA b Washington State Department of Natural Resources, PO Box 47000, 1111 Washington Street, SE, Olympia, WA, 98504-7000, USA c School of Forest Sciences, Faculty of Science and Forestry, University of Eastern Finland, P.O. Box 111, 80101, Joensuu, Finland d USDA Forest Service Pacific Northwest Research Station, 620 Southwest Main, Suite 502, Portland, OR, 97205, USA e GeoTerra Inc., 60 McKinley St, Eugene, OR, 97402, USA f Washington State Department of Natural Resources, PO Box 47000, 1111 Washington Street SE, Olympia, WA, 98504-7000, USA g USDA Forest Service Pacific Northwest Research Station, University of Washington, PO Box 352100, Seattle, WA, 98195-2100, USA ARTICLE INFO ABSTRACT Keywords: There is growing interest in using Digital Aerial Photogrammetry (DAP) for forestry applications. However, the Lidar performance of pushbroom DAP relative to frame-based DAP and airborne lidar is not well documented. Interest Structure from motion in DAP stems largely from its low cost relative to lidar. Studies have demonstrated that frame-based DAP Photogrammetry generally performs slightly poorer than lidar, but still provides good value due to its reduced cost. In the USA Forestry pushbroom imagery can be dramatically less expensive than frame-camera imagery in part because of a na- DAP tionwide collection program. -
Micropython for Satlink 3 Documentation Release 1.8.4
MicroPython for Satlink 3 Documentation Release 1.8.4 Damien P. George, contributors, and Sutron Corporation Jul 28, 2017 CONTENTS 1 Python first time setup & configuration1 1.1 1. Download & Install LinkComm....................................1 1.2 2. Download & Install Python......................................1 1.3 3. Download & Install Pyinstaller....................................3 1.4 4. Download & Install PyCharm.....................................3 1.5 5. Testing out .py to .exe converter....................................5 1.6 6. Python PyQt5 GUI..........................................6 1.7 7. Connect PyCharm into external programs like linkcomm or micropython..............6 1.8 8. Configure PyCharm for program development using LinkComm..................9 1.9 9. Configure PyCharm with SL3 API for auto completion....................... 11 1.10 10. Setting docstring stub in PyCharm.................................. 13 2 MicroPython libraries 15 2.1 Python standard libraries and micro-libraries.............................. 15 2.2 MicroPython-specific libraries...................................... 16 2.3 Libraries specific to the Satlink 3.................................... 19 3 The MicroPython language 39 3.1 Overview of MicroPython Differences from Standard Python..................... 39 3.2 Code examples of how MicroPython differs from Standard Python with work-arounds........ 41 3.3 The MicroPython Interactive Interpreter Mode (aka REPL)....................... 56 3.4 Maximising Python Speed....................................... -
Setting up Your Environment
APPENDIX A Setting Up Your Environment Choosing the correct tools to work with asyncio is a non-trivial choice, since it can significantly impact the availability and performance of asyncio. In this appendix, we discuss the interpreter and the packaging options that influence your asyncio experience. The Interpreter Depending on the API version of the interpreter, the syntax of declaring coroutines change and the suggestions considering API usage change. (Passing the loop parameter is considered deprecated for APIs newer than 3.6, instantiating your own loop should happen only in rare circumstances in Python 3.7, etc.) Availability Python interpreters adhere to the standard in varying degrees. This is because they are implementations/manifestations of the Python language specification, which is managed by the PSF. At the time of this writing, three relevant interpreters support at least parts of asyncio out of the box: CPython, MicroPython, and PyPy. © Mohamed Mustapha Tahrioui 2019 293 M. M. Tahrioui, asyncio Recipes, https://doi.org/10.1007/978-1-4842-4401-2 APPENDIX A SeTTinG Up YouR EnViROnMenT Since we are ideally interested in a complete or semi-complete implementation of asyncio, our choice is limited to CPython and PyPy. Both of these products have a great community. Since we are ideally using a lot powerful stdlib features, it is inevitable to pose the question of implementation completeness of a given interpreter with respect to the Python specification. The CPython interpreter is the reference implementation of the language specification and hence it adheres to the largest set of features in the language specification. At the point of this writing, CPython was targeting API version 3.7. -
Python Crypto Misuses in the Wild
Python Crypto Misuses in the Wild Anna-Katharina Wickert Lars Baumgärtner [email protected] [email protected] Technische Universität Darmstadt Technische Universität Darmstadt Darmstadt, Germany Darmstadt, Germany Florian Breitfelder Mira Mezini [email protected] [email protected] Technische Universität Darmstadt Technische Universität Darmstadt Darmstadt, Germany Darmstadt, Germany ABSTRACT 1 INTRODUCTION Background: Previous studies have shown that up to 99.59 % of the Cryptography, hereafter crypto, is widely used nowadays to protect Java apps using crypto APIs misuse the API at least once. However, our data and ensure confidentiality. For example, without crypto, these studies have been conducted on Java and C, while empirical we would not be able to securely use online banking or do online studies for other languages are missing. For example, a controlled shopping. Unfortunately, previous research results show that crypto user study with crypto tasks in Python has shown that 68.5 % of the is often used in an insecure way [3, 4, 7, 9, 11]. One such problem is professional developers write a secure solution for a crypto task. the choice of an insecure parameter, like an insecure block mode, for Aims: To understand if this observation holds for real-world code, crypto primitives like encryption. Many static analysis tools exist we conducted a study of crypto misuses in Python. Method: We to identify these misuses such as CryptoREX [13], CryptoLint [4], developed a static analysis tool that covers common misuses of5 CogniCryptSAST [8], and Cryptoguard [12]. different Python crypto APIs. With this analysis, we analyzed 895 While these tools and the respective in-the-wild studies concen- popular Python projects from GitHub and 51 MicroPython projects trate on Java and C, user studies suggest that the existing Python for embedded devices. -
GUIDE to INTERNATIONAL UNIVERSITY ADMISSION About NACAC
GUIDE TO INTERNATIONAL UNIVERSITY ADMISSION About NACAC The National Association for College Admission Counseling (NACAC), founded in 1937, is an organization of 14,000 professionals from around the world dedicated to serving students as they make choices about pursuing postsecondary education. NACAC is committed to maintaining high standards that foster ethical and social responsibility among those involved in the transition process, as outlined in the NACAC’s Guide to Ethical Practice in College Admission. For more information and resources, visit nacacnet.org. The information presented in this document may be reprinted and distributed with permission from and attribution to the National Association for College Admission Counseling. It is intended as a general guide and is presented as is and without warranty of any kind. While every effort has been made to ensure the accuracy of the content, NACAC shall not in any event be liable to any user or any third party for any direct or indirect loss or damage caused or alleged to be caused by the information contained herein and referenced. Copyright © 2020 by the National Association for College Admission Counseling. All rights reserved. NACAC 1050 N. Highland Street Suite 400 Arlington, VA 22201 800.822.6285 nacacnet.org COVID-19 IMPACTS ON APPLYING ABROAD NACAC is pleased to offer this resource for the fifth year. NACAC’s Guide to International University Admission promotes study options outside students’ home countries for those who seek an international experience. Though the impact the current global health crisis will have on future classes remains unclear, we anticipate that there will still be a desire among students—perhaps enhanced as a result of COVID-19, to connect with people from other cultures and parts of the world, and to pursue an undergraduate degree abroad. -
User Guide - Opendap Documentation
User Guide - OPeNDAP Documentation 2017-10-12 Table of Contents 1. About This Guide . 1 2. What is OPeNDAP. 1 2.1. The OPeNDAP Client/Server . 2 2.2. OPeNDAP Services . 3 2.3. The OPeNDAP Server (aka "Hyrax"). 4 2.4. Administration and Centralization of Data . 5 3. OPeNDAP Data Model . 5 3.1. Data and Data Models . 5 4. OPeNDAP Messages . 17 4.1. Ancillary Data . 17 4.2. Data Transmission . 23 4.3. Other Services . 24 4.4. Constraint Expressions . 27 5. OPeNDAP Server (Hyrax) . 34 5.1. The OPeNDAP Server. 34 6. OPeNDAP Client . 37 6.1. Clients . 38 1. About This Guide This guide introduces important concepts behind the OPeNDAP data model and Web API as well as the clients and servers that use them. While it is not a reference for any particular client or server, you will find links to particular clients and servers in it. 2. What is OPeNDAP OPeNDAP provides a way for researchers to access scientific data anywhere on the Internet, from a wide variety of new and existing programs. It is used widely in earth-science research settings but it is not limited to that. Using a flexible data model and a well-defined transmission format, an OPeNDAP client can request data from a wide variety of OPeNDAP servers, allowing researchers to enjoy flexibility similar to the flexibility of the web. There are different implementations of OPeNDAP produced by various open source NOTE organizations. This guide covers the implementation of OPeNDAP produced by the OPeNDAP group. The OPeNDAP architecture uses a client/server model, with a client that sends requests for data out onto the network to a server, that answers with the requested data. -
ESAIL D3.3.4 Auxiliary Tether Reel Test Report
WP 3.3 “Auxiliary tether reel”, Deliverable D3.3.4 ESAIL ESAIL D3.3.4 Auxiliary tether reel test report Work Package: WP 3.3 Version: Version 1.0 Prepared by: DLR German Aerospace Center, Roland Rosta Time: Bremen, June 18th, 2013 Coordinating person: Pekka Janhunen, [email protected] 1 WP 3.3 “Auxiliary tether reel”, Deliverable D3.3.4 ESAIL Document Change Record Pages, Tables, Issue Rev. Date Modification Name Figures affected 1 0 18 June 2013 All Initial issue Rosta 2 WP 3.3 “Auxiliary tether reel”, Deliverable D3.3.4 ESAIL Table of Contents 1. Scope of this Document ......................................................................................................................... 5 2. Test Item Description ............................................................................................................................ 6 2.1. Auxiliary Tether Reel...................................................................................................................... 6 3. Test Results ............................................................................................................................................ 7 3.1. Shock and Vibration Tests .............................................................................................................. 7 3.2. Thermal Vacuum Tests ................................................................................................................. 10 4. Appendix ............................................................................................................................................. -
How Python Is Winning New Friends
How Python is Winning New Friends Steve Holden CTO, Global Stress Index Limited [email protected] IntroducFons • Programmer since 1967 • Computaonal scienFst by training • Engineer at heart • Python user since Python 1.4 (c. 1995) • Enjoy helping people to learn I’ve WriSen about Python Any Python users out there? Developments in CompuFng SOME HISTORY 1948 Programming Was Hard • No operang system • No libraries • No compilers • No assemblers • The painful process of abstracFon layering began 1977 Easier to Program • Assemblers/compilers available • UNIX starFng to emerge as a common base – Microprogramming handled hardware complexity • Storage flexibly handled by the OS • Networking heading to ubiquity 1984 2015 2016 2017 2020 ? Whatever it is, it will be complex! And so to Python “BUT IT’S [JUST] A SCRIPTING LANGUAGE …” What’s a “ScripFng Language”? • “First they ignore you; then they abuse you; then they crack down on you and then you win.” – not Mahatma Ghandi What’s a “ScripFng Language”? • “First they ignore you; then they abuse you; then they crack down on you and then you win.” – not Mahatma Ghandi • “Ridicule is like repression. Both give place to respect when they fail to produce the intended effect.” – Mahatma Ghandi Note to Purists • Learners do not have complex needs – Simplicity and consistency are important – ExecuFon speed mostly isn’t • Direct hands-on experience enables • Large resources not required – Wide availability and ease of access are criFcal The Programming Audience • Professional soiware engineers • ScienFsts • Lab -
Optimization of Virtual Power Plant in Nordic Electricity Market
DEGREE PROJECT IN ELECTRICAL ENGINEERING, SECOND CYCLE, 30 CREDITS STOCKHOLM, SWEDEN 2019 Optimization of Virtual Power Plant in Nordic Electricity Market JWALITH DESU KTH ROYAL INSTITUTE OF TECHNOLOGY SCHOOL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCE KTH Royal Institute of Technology Master Thesis Optimization of Virtual Power Plant in the Nordic Electricity Market Author: Jwalith Desu Supervisor: Dr. Mohammad Reza Hesamzadeh Examiner: Dr. Mohammad Reza Hesamzadeh A thesis submitted in fulfilment of the requirements for the degree of Master of Science in the Electricity Market Research Group (EMReG) School of Electrical Engineering October 2019 Declaration of Authorship I, Jwalith DESU, declare that this thesis titled, 'Optimization of Virtual Power Plant in the Nordic Electricity Market' and the work presented in it are my own. I confirm that: This work was done wholly or mainly while in candidature for a research degree at this University. Where any part of this thesis has previously been submitted for a degree or any other qualification at this University or any other institution, this has been clearly stated. Where I have consulted the published work of others, this is always clearly at- tributed. Where I have quoted from the work of others, the source is always given. With the exception of such quotations, this thesis is entirely my own work. I have acknowledged all main sources of help. Where the thesis is based on work done by myself jointly with others, I have made clear exactly what was done by others and what I have contributed myself. Signed: Date: i Abstract With the world becoming more conscious about achieving 1.5-degree scenario as promised by the most powerful economies of the world, much needed push was received by the renewable energy technology providers. -
Pdf for a Detailed Explanation, Along with Various Techniques for Debouncing
MicroPython Documentation Release 1.11 Damien P. George, Paul Sokolovsky, and contributors May 29, 2019 CONTENTS i ii CHAPTER ONE MICROPYTHON LIBRARIES Warning: Important summary of this section • MicroPython implements a subset of Python functionality for each module. • To ease extensibility, MicroPython versions of standard Python modules usually have u (“micro”) prefix. • Any particular MicroPython variant or port may miss any feature/function described in this general docu- mentation (due to resource constraints or other limitations). This chapter describes modules (function and class libraries) which are built into MicroPython. There are a few categories of such modules: • Modules which implement a subset of standard Python functionality and are not intended to be extended by the user. • Modules which implement a subset of Python functionality, with a provision for extension by the user (via Python code). • Modules which implement MicroPython extensions to the Python standard libraries. • Modules specific to a particular MicroPython port and thus not portable. Note about the availability of the modules and their contents: This documentation in general aspires to describe all modules and functions/classes which are implemented in MicroPython project. However, MicroPython is highly configurable, and each port to a particular board/embedded system makes available only a subset of MicroPython libraries. For officially supported ports, there is an effort to either filter out non-applicable items, or mark individual descriptions with “Availability:” clauses describing which ports provide a given feature. With that in mind, please still be warned that some functions/classes in a module (or even the entire module) described in this documentation may be unavailable in a particular build of MicroPython on a particular system. -
Bringing Python to Godot
Bringing Python to Godot 01/02/2020 Emmanuel Leblond - https://github.com/touilleMan/godot-python Godot ? Open source (MIT) Full featured Linux support ❤❤❤ Demo time ! Godot: dynamic from the ground class Node2D : public Node { godot/node2d.hpp GDCLASS(Node2D, Node); void set_rot(float p_angle); float get_rot() const; ... void _bind_methods() { ClassDB::bind_method(D_METHOD("get_rot"), &Node2D::get_rot); ClassDB::bind_method(D_METHOD("set_rot", "degrees"), &Node2D::set_rot); ... } } Godot: dynamic from the ground class Node2D : public Node { godot/node2d.hpp GDCLASS(Node2D, Node); void set_rot(float p_angle); float get_rot() const; ... void _bind_methods() { ClassDB::bind_method(D_METHOD("get_rot"), &Node2D::get_rot); ClassDB::bind_method(D_METHOD("set_rot", "degrees"), &Node2D::set_rot); ... } } Godot: dynamic from the ground class Node2D : public Node { godot/node2d.hpp GDCLASS(Node2D, Node); void set_rot(float p_angle); float get_rot() const; ... void _bind_methods() { ClassDB::bind_method(D_METHOD("get_rot"), &Node2D::get_rot); ClassDB::bind_method(D_METHOD("set_rot", "degrees"), &Node2D::set_rot); ... } } # C++ static traditional way Node2D *obj = new Node2D(); obj->set_ret(4.2); Godot: dynamic from the ground class Node2D : public Node { godot/node2d.hpp GDCLASS(Node2D, Node); void set_rot(float p_angle); float get_rot() const; ... void _bind_methods() { ClassDB::bind_method(D_METHOD("get_rot"), &Node2D::get_rot); ClassDB::bind_method(D_METHOD("set_rot", "degrees"), &Node2D::set_rot); ... } } # C++ static traditional way # C++ Dynamic