This document contains a list of files contained on three disks. Disk 1 contains files for installing the software and examples, as well as header files for class libraries. Disk 2 contains compiler object files, libraries, and command line tools. Disk 3 contains graphics drivers and fonts for different graphics cards and character sets, as well as DPMI and utility programs.
The document describes the contents of two disks. Disk 1 contains installation files, class library header and source files, project files, and example programs. Disk 2 contains compiler support libraries, startup code objects, and a compact model object file.
The document describes the contents of 5 disks which contain files for the Turbo C++ compiler and libraries. Disk 1 contains installation files, header files for class libraries, source code for class libraries. Disk 2 contains project files for building class libraries, example files and projects for using class libraries. Disk 3 contains more files for building and linking class libraries as well as compiler utility programs. Disk 4 contains DPMI and memory management files, libraries, and example projects. Disk 5 contains graphics drivers and fonts for different graphics cards and a graphics demonstration program.
The document describes the contents of two disks. Disk 1 contains installation files, class library source code and header files, example programs, and Borland C++ header files. Disk 2 contains graphics drivers for different hardware as well as font files.
This document provides examples of adding Climate and Forecast (CF) metadata attributes to HDF5 files using different programming languages and interfaces. It summarizes how to add CF attributes like units, long_name, and coordinates to datasets in HDF5 files using C, Fortran, Python, netCDF4, HDF-EOS5, and HDFView. It also briefly mentions using HDF5 dimension scales to associate coordinate variables with datasets.
This document discusses using Python with the H5py module to interact with HDF5 files. Some key points made include:
- H5py allows HDF5 files to be manipulated as if they were Python dictionaries, with dataset names as keys and arrays as values.
- NumPy provides array manipulation capabilities to work with the dataset values retrieved from HDF5 files.
- Examples demonstrate reading and writing HDF5 datasets, comparing contents of datasets between files, and recursively listing contents of an HDF5 file.
- Using Python with H5py is more concise than other languages like C/Fortran, reducing development time and potential for errors.
This tutorial is designed for anyone who needs to work with data stored in HDF5 files. The tutorial will cover functionality and useful features of the HDF5 utilities h5dump, h5diff, h5repack, h5stat, h5copy, h5check and h5repart. We will also introduce a prototype of the new h52jpeg conversion tool and recently released h5perf_serial tool used for performance studies. We will briefly introduce HDFView. Details of the HDFView and HDF-Java will be discussed in a separate tutorial.
Disk 1 contains installation files and source files for a C++ library. Disk 1 also contains two ZIP files: CLIBSRC containing more source files for the C++ library, and CMDLG31 containing example files for a Windows 3.1 application. The FILELIST file provides a documentation of files, and the INCLUDE ZIP file contains Borland C++ header files.
Federated SPARQL Query Processing With Replicated FragmentPascal Molli
ย
Federated query engines allow to consume linked data from SPARQL endpoints. Replicating data fragments from different sources allows to re-organize data to better fit federated query processing of data consumers. However, existing federated query engines poorly sup- port replication. In this paper, we propose a replication-aware federated query engine that extends state-of-art federated query engine ANAPSID and FedX with Fedra, a source selection strategy that approximates the source selection problem with fragments replication (SSP-FR). For a given set of endpoints with replicated fragments and a SPARQL query, the problem is to find the endpoints to contact in order to minimize the number of tuples to transfer from endpoints to the federated query engines. We devise the Fedra source selection algorithm that approximates SSP-FR. We implement Fedra in the state-of-the-art federated query engines FedX and ANAPSID, and empirically evaluate their performance. Experimental results suggest that Fedra efficiently solves SSP-FR, reducing the number of selected SPARQL endpoints as well as the size of query intermediate results.
The document describes the contents of two disks. Disk 1 contains installation files, class library header and source files, project files, and example programs. Disk 2 contains compiler support libraries, startup code objects, and a compact model object file.
The document describes the contents of 5 disks which contain files for the Turbo C++ compiler and libraries. Disk 1 contains installation files, header files for class libraries, source code for class libraries. Disk 2 contains project files for building class libraries, example files and projects for using class libraries. Disk 3 contains more files for building and linking class libraries as well as compiler utility programs. Disk 4 contains DPMI and memory management files, libraries, and example projects. Disk 5 contains graphics drivers and fonts for different graphics cards and a graphics demonstration program.
The document describes the contents of two disks. Disk 1 contains installation files, class library source code and header files, example programs, and Borland C++ header files. Disk 2 contains graphics drivers for different hardware as well as font files.
This document provides examples of adding Climate and Forecast (CF) metadata attributes to HDF5 files using different programming languages and interfaces. It summarizes how to add CF attributes like units, long_name, and coordinates to datasets in HDF5 files using C, Fortran, Python, netCDF4, HDF-EOS5, and HDFView. It also briefly mentions using HDF5 dimension scales to associate coordinate variables with datasets.
This document discusses using Python with the H5py module to interact with HDF5 files. Some key points made include:
- H5py allows HDF5 files to be manipulated as if they were Python dictionaries, with dataset names as keys and arrays as values.
- NumPy provides array manipulation capabilities to work with the dataset values retrieved from HDF5 files.
- Examples demonstrate reading and writing HDF5 datasets, comparing contents of datasets between files, and recursively listing contents of an HDF5 file.
- Using Python with H5py is more concise than other languages like C/Fortran, reducing development time and potential for errors.
This tutorial is designed for anyone who needs to work with data stored in HDF5 files. The tutorial will cover functionality and useful features of the HDF5 utilities h5dump, h5diff, h5repack, h5stat, h5copy, h5check and h5repart. We will also introduce a prototype of the new h52jpeg conversion tool and recently released h5perf_serial tool used for performance studies. We will briefly introduce HDFView. Details of the HDFView and HDF-Java will be discussed in a separate tutorial.
Disk 1 contains installation files and source files for a C++ library. Disk 1 also contains two ZIP files: CLIBSRC containing more source files for the C++ library, and CMDLG31 containing example files for a Windows 3.1 application. The FILELIST file provides a documentation of files, and the INCLUDE ZIP file contains Borland C++ header files.
Federated SPARQL Query Processing With Replicated FragmentPascal Molli
ย
Federated query engines allow to consume linked data from SPARQL endpoints. Replicating data fragments from different sources allows to re-organize data to better fit federated query processing of data consumers. However, existing federated query engines poorly sup- port replication. In this paper, we propose a replication-aware federated query engine that extends state-of-art federated query engine ANAPSID and FedX with Fedra, a source selection strategy that approximates the source selection problem with fragments replication (SSP-FR). For a given set of endpoints with replicated fragments and a SPARQL query, the problem is to find the endpoints to contact in order to minimize the number of tuples to transfer from endpoints to the federated query engines. We devise the Fedra source selection algorithm that approximates SSP-FR. We implement Fedra in the state-of-the-art federated query engines FedX and ANAPSID, and empirically evaluate their performance. Experimental results suggest that Fedra efficiently solves SSP-FR, reducing the number of selected SPARQL endpoints as well as the size of query intermediate results.
A brief overview of using HDF5 with Python and Andrew Collette's h5py module will be presented, including examples which show how and why Python can be used in the place of HDF5 tools. Extensions to the HDF5 API will be proposed which would further improve the utility of Python/h5py.
An introduction to the Python programming language and its numerical abilities will be presented. With this background, Andrew Collette's H5Py module--an HDF5-Python interface--will be explained highlighting the unique and useful similarities between Python data structures and HDF5.
This document summarizes the CyCLaDEs approach for caching triple pattern fragments (TPF) in a decentralized manner across Linked Data clients. It proposes using two overlay networks - a Random Peer Sampling network to ensure connectivity between all clients, and a Cluster Overlay Network to connect similar clients based on query histories. Each client builds a profile based on recently used query predicates and finds similar neighbors to cache TPF locally for future queries before querying the central LDF server.
This document provides a file listing for disks containing Turbo Pascal source code, documentation demos, utilities, and interface units. The files include Pascal source code, data files, executables, help files and documentation for applications, libraries, debugging tools, and the Turbo Pascal integrated development environment. Disks 1 through 4 contain application code, demos, documentation examples, games, and interface units for Turbo Pascal. Additional disks hold debugger examples, file manager demos, compatibility units, and utility programs for use with Turbo Pascal.
analyzing hdfs files using apace spark and mapreduce FixedLengthInputformatleorick lin
ย
The document discusses analyzing HDFS files with Apache Spark and MapReduce using FixedLengthInputFormat. It describes how FixedLengthInputFormat can be used to read data from files containing fixed length records without delimiters. It also addresses issues that can occur with very large records, such as a single record over 2GB causing out of memory errors, and provides solutions for handling such cases that involve splitting files into blocks. Validation steps showing the use of these techniques on sample data files are also outlined.
This document describes a tutorial on HDF5 given at PyData SV 2013. The tutorial will cover what HDF5 is, how to open and interact with HDF5 files using PyTables, how to create and read different types of datasets like arrays and tables, and provide exercises for participants to practice working with HDF5 files. Participants will learn about HDF5's hierarchical structure and how to organize data using groups, as well as read and write capabilities.
This Tutorial gives a brief introduction to HDF5 for people who have never used it. It covers the HDF5 Data Model including HDF5 objects and their properties. It also briefly describes the HDF5 Programming Model and prepares participants for further self-study of HDF5 and hands-on sessions.
Introduction to source{d} Engine and source{d} Lookout source{d}
ย
Join us for a presentation and demo of source{d} Engine and source{d} Lookout. Combining code retrieval, language agnostic parsing, and git management tools with familiar APIs parsing, source{d} Engine simplifies code analysis. source{d} Lookout, a service for assisted code review that enables running custom code analyzers on GitHub pull requests.
Reproducible Computational Research in RSamuel Bosch
ย
A short presentation with pointers on getting started with reproducible computational research in R. Some of the topics include git, R package development, document generation with R markdown, saving plots, saving tables and using packrat.
Golang supports several execution modes that determine how code is built and linked. The main modes are:
- exe: Default for main packages, builds everything into a single executable.
- shared: Combines packages into a shared library for dynamic linking, reducing binary size. Currently only supported on Linux.
- archive: Default for non-main packages, builds into a .a library file.
- c-shared/c-archive: Builds packages into a single C shared library/archive file for calling from C/C++.
- plugin: Builds packages into a shared library that can be dynamically loaded at runtime, similar to dlopen. Currently only supported on Linux.
The document discusses various ways to extend Python with C code for improved performance. It covers writing native Python extensions with the C API, using the CTypes module for calling external C functions and accessing C data types from Python, and the CFFI module which provides another way to interface with C code. Examples are provided for implementing Fibonacci in C and calling it from Python using these different extension mechanisms.
Extending Python, what is the best option for me?Codemotion
ย
by Francisco Fernรกndez Castaรฑo - Python is a great language, but there are occasions where we need access to low level operations or connect with some database driver written in C. With the FFI(Foreign function interface) we can connect Python with other languages like C, C++ and even the new Rust. There are some alternatives to achieve this goal, Native Extensions, Ctypes and CFFI. I'll compare this three ways of extending Python.
Slides from JEEConf 2018 talk "Virtual Machine for Regular Expressions". It describes how and why to implement a custom regular expression engine for matching arbitrary sequences.
This document provides an update on HDF (Hierarchical Data Format) releases and features. It discusses the current HDF5 1.10 series which allows controlling HDF5 file versioning and enables compression for parallel writes. The upcoming HDF5 1.12 release will include non-POSIX I/O using a Virtual Object Layer, UTF-8 encoding, and other file format changes. The document shows examples of compressing Sentinel and SeaSat data files in HDF5 using different compression methods.
Data produced by the Ozone PEATE from the Ozone Mapping and Profiler Suite (OMPS) instruments are to be stored in HDF5, not HDF-EOS, but will still need some features similar to those in HDF-EOS. In particular, a mechanism for handling dimension names will be needed. This poster proposes a method to handle dimension names for arrays in HDF5 in a manner commensurate with HDF-EOS5.
This 2009 tutorial slide will cover basic HDF5 Data Model objects and their properties. It will include an overview of the HDF5 Libraries and APIs, and describe the HDF5 programming model. Simple programming examples and the HDFView data browser will be used to illustrate HDF5 concepts and start developing your own HDF5 based applications.
This tutorial is for new HDF5 users.
This document provides an overview of file handling in COBOL, including objectives, basic terminology, file organization and access methods, and file handling verbs. It discusses sequential file organization and processing, with examples of opening, reading from, and writing to sequential files using the OPEN, READ, and WRITE verbs. It explains how records are stored in files and accessed using buffers, and demonstrates sample code for creating a sequential file and reading/writing records.
Using Gource to visualize Linux kernel dataDawn Foster
ย
Learn tips and tricks for making better use of Gource to visualize your source code repositories and other data. Demos will feature examples from the Linux kernel.
The document describes the contents of two disks. Disk 1 contains installation files, class library header and source files, project files, and example programs. Disk 2 contains compiler support libraries, startup code objects, and a compact model object file.
The document describes the contents of 3 disks that contain files for Turbo C++, including installers, example programs, header files, libraries, documentation files, and project files for building class libraries. The files are organized by type and many include descriptive names indicating their purpose or the programming concepts they demonstrate.
The document describes the contents of 3 disks that contain files for Turbo C++, including installers, examples, libraries, documentation and header files. Disk 1 contains installers, example programs, class library source code and header files. Disk 2 contains compiler binaries, linker, editor macros and help files. Disk 3 contains graphics drivers, DPMI files, class library examples, project files and editor macro files.
The document describes the contents of 4 disks that contain files for the Turbo Pascal integrated development environment. Disk 1 contains source code files and utilities like an install program. Disk 2 contains demo files for the Borland Graphics Interface and help files. Disk 3 contains additional BGI drivers, demos, and files for DPMI and floppy disk support. Disk 4 contains more demo files, documentation examples, and interface units.
A brief overview of using HDF5 with Python and Andrew Collette's h5py module will be presented, including examples which show how and why Python can be used in the place of HDF5 tools. Extensions to the HDF5 API will be proposed which would further improve the utility of Python/h5py.
An introduction to the Python programming language and its numerical abilities will be presented. With this background, Andrew Collette's H5Py module--an HDF5-Python interface--will be explained highlighting the unique and useful similarities between Python data structures and HDF5.
This document summarizes the CyCLaDEs approach for caching triple pattern fragments (TPF) in a decentralized manner across Linked Data clients. It proposes using two overlay networks - a Random Peer Sampling network to ensure connectivity between all clients, and a Cluster Overlay Network to connect similar clients based on query histories. Each client builds a profile based on recently used query predicates and finds similar neighbors to cache TPF locally for future queries before querying the central LDF server.
This document provides a file listing for disks containing Turbo Pascal source code, documentation demos, utilities, and interface units. The files include Pascal source code, data files, executables, help files and documentation for applications, libraries, debugging tools, and the Turbo Pascal integrated development environment. Disks 1 through 4 contain application code, demos, documentation examples, games, and interface units for Turbo Pascal. Additional disks hold debugger examples, file manager demos, compatibility units, and utility programs for use with Turbo Pascal.
analyzing hdfs files using apace spark and mapreduce FixedLengthInputformatleorick lin
ย
The document discusses analyzing HDFS files with Apache Spark and MapReduce using FixedLengthInputFormat. It describes how FixedLengthInputFormat can be used to read data from files containing fixed length records without delimiters. It also addresses issues that can occur with very large records, such as a single record over 2GB causing out of memory errors, and provides solutions for handling such cases that involve splitting files into blocks. Validation steps showing the use of these techniques on sample data files are also outlined.
This document describes a tutorial on HDF5 given at PyData SV 2013. The tutorial will cover what HDF5 is, how to open and interact with HDF5 files using PyTables, how to create and read different types of datasets like arrays and tables, and provide exercises for participants to practice working with HDF5 files. Participants will learn about HDF5's hierarchical structure and how to organize data using groups, as well as read and write capabilities.
This Tutorial gives a brief introduction to HDF5 for people who have never used it. It covers the HDF5 Data Model including HDF5 objects and their properties. It also briefly describes the HDF5 Programming Model and prepares participants for further self-study of HDF5 and hands-on sessions.
Introduction to source{d} Engine and source{d} Lookout source{d}
ย
Join us for a presentation and demo of source{d} Engine and source{d} Lookout. Combining code retrieval, language agnostic parsing, and git management tools with familiar APIs parsing, source{d} Engine simplifies code analysis. source{d} Lookout, a service for assisted code review that enables running custom code analyzers on GitHub pull requests.
Reproducible Computational Research in RSamuel Bosch
ย
A short presentation with pointers on getting started with reproducible computational research in R. Some of the topics include git, R package development, document generation with R markdown, saving plots, saving tables and using packrat.
Golang supports several execution modes that determine how code is built and linked. The main modes are:
- exe: Default for main packages, builds everything into a single executable.
- shared: Combines packages into a shared library for dynamic linking, reducing binary size. Currently only supported on Linux.
- archive: Default for non-main packages, builds into a .a library file.
- c-shared/c-archive: Builds packages into a single C shared library/archive file for calling from C/C++.
- plugin: Builds packages into a shared library that can be dynamically loaded at runtime, similar to dlopen. Currently only supported on Linux.
The document discusses various ways to extend Python with C code for improved performance. It covers writing native Python extensions with the C API, using the CTypes module for calling external C functions and accessing C data types from Python, and the CFFI module which provides another way to interface with C code. Examples are provided for implementing Fibonacci in C and calling it from Python using these different extension mechanisms.
Extending Python, what is the best option for me?Codemotion
ย
by Francisco Fernรกndez Castaรฑo - Python is a great language, but there are occasions where we need access to low level operations or connect with some database driver written in C. With the FFI(Foreign function interface) we can connect Python with other languages like C, C++ and even the new Rust. There are some alternatives to achieve this goal, Native Extensions, Ctypes and CFFI. I'll compare this three ways of extending Python.
Slides from JEEConf 2018 talk "Virtual Machine for Regular Expressions". It describes how and why to implement a custom regular expression engine for matching arbitrary sequences.
This document provides an update on HDF (Hierarchical Data Format) releases and features. It discusses the current HDF5 1.10 series which allows controlling HDF5 file versioning and enables compression for parallel writes. The upcoming HDF5 1.12 release will include non-POSIX I/O using a Virtual Object Layer, UTF-8 encoding, and other file format changes. The document shows examples of compressing Sentinel and SeaSat data files in HDF5 using different compression methods.
Data produced by the Ozone PEATE from the Ozone Mapping and Profiler Suite (OMPS) instruments are to be stored in HDF5, not HDF-EOS, but will still need some features similar to those in HDF-EOS. In particular, a mechanism for handling dimension names will be needed. This poster proposes a method to handle dimension names for arrays in HDF5 in a manner commensurate with HDF-EOS5.
This 2009 tutorial slide will cover basic HDF5 Data Model objects and their properties. It will include an overview of the HDF5 Libraries and APIs, and describe the HDF5 programming model. Simple programming examples and the HDFView data browser will be used to illustrate HDF5 concepts and start developing your own HDF5 based applications.
This tutorial is for new HDF5 users.
This document provides an overview of file handling in COBOL, including objectives, basic terminology, file organization and access methods, and file handling verbs. It discusses sequential file organization and processing, with examples of opening, reading from, and writing to sequential files using the OPEN, READ, and WRITE verbs. It explains how records are stored in files and accessed using buffers, and demonstrates sample code for creating a sequential file and reading/writing records.
Using Gource to visualize Linux kernel dataDawn Foster
ย
Learn tips and tricks for making better use of Gource to visualize your source code repositories and other data. Demos will feature examples from the Linux kernel.
The document describes the contents of two disks. Disk 1 contains installation files, class library header and source files, project files, and example programs. Disk 2 contains compiler support libraries, startup code objects, and a compact model object file.
The document describes the contents of 3 disks that contain files for Turbo C++, including installers, example programs, header files, libraries, documentation files, and project files for building class libraries. The files are organized by type and many include descriptive names indicating their purpose or the programming concepts they demonstrate.
The document describes the contents of 3 disks that contain files for Turbo C++, including installers, examples, libraries, documentation and header files. Disk 1 contains installers, example programs, class library source code and header files. Disk 2 contains compiler binaries, linker, editor macros and help files. Disk 3 contains graphics drivers, DPMI files, class library examples, project files and editor macro files.
The document describes the contents of 4 disks that contain files for the Turbo Pascal integrated development environment. Disk 1 contains source code files and utilities like an install program. Disk 2 contains demo files for the Borland Graphics Interface and help files. Disk 3 contains additional BGI drivers, demos, and files for DPMI and floppy disk support. Disk 4 contains more demo files, documentation examples, and interface units.
The document describes TCP Input Text (tit), a tool used in the reconnaissance phase of penetration testing to enumerate fully qualified domain names (FQDNs) and TCP ports. It implements the Google SOAP and Bing search APIs. The tool outputs plug-ins including CSV files for FQDNs, TCP ports, and Maltego transforms. The roadmap includes adding support for the Bing API v2 and merging tit-google-soap and tit-bing. Future versions may include output plugins for web proxies and translation.
Linux is an open-source operating system that can run on various hardware. The document discusses various Linux commands and concepts related to directories, files, permissions, users, groups, text editors like vi and vim, process management, disk partitioning and more. It also covers Linux installation, package management, shell scripting and configuring network and services like SSH, web servers and more. Exercises are included to help understand concepts like mount points, journaling and file attributes.
Cscope and ctags are Linux tools that allow developers to browse and navigate source code. Cscope interactively examines C programs and allows browsing source code in a terminal. It builds a reference database from source files that can then be queried. Ctags generates an index tag file for language objects that allows them to be quickly located by text editors. It recursively processes source files to create a tags file containing entries with the tag name, file, and location. This tags file can then be used by editors like vi to navigate between tags.
The document summarizes the history of the C++ programming language. It describes how C++ was created in 1979 by Bjarne Stroustrup as an enhancement to the C language by adding object-oriented programming features like classes, inheritance, and polymorphism. Key events included the first commercial C++ release in 1985, standardization efforts in 1998 and later updates, and the addition of new features over time that expanded the language's capabilities. C++ has evolved into a widely used general-purpose programming language.
This document provides a user's manual for the RAR archiving tool. RAR allows users to create, manage, and extract archive files. It features powerful compression algorithms and the ability to create self-extracting archives. The manual describes RAR commands for adding, extracting, updating, and repairing files within archives. It also covers options for file commenting, encryption, and creating archive recovery records.
This document provides an overview and instructions for using the RAR archiving tool. RAR allows users to compress files into archive formats and features high compression ratios and file recovery capabilities. Key information includes supported archive formats, configuration options stored in external files, using environment variables to set default parameters, and a detailed breakdown of RAR commands and switches to create, extract, modify, and manage archive files.
This document provides an overview of common UNIX commands for navigating directories, listing files, editing text, searching for files and strings, compressing files, and more. It describes commands like ls, cd, pwd, vi, grep, find, tar, gzip and man for viewing manual pages. It also explains concepts like pipes, redirection, environment variables and basics of the awk command for text manipulation.
This document provides instructions for using the RAR command line archiving tool. It describes RAR's features for compressing files, creating self-extracting archives, and recovering damaged archives. It also explains how to configure RAR via environment variables or configuration files, and lists the main commands for adding, extracting, updating, and repairing RAR archive files.
This document provides a user's manual for the RAR archiving tool. It describes RAR's features such as compression algorithms, password protection, and file recovery capabilities. It also outlines RAR's command line syntax and lists commands for operations like adding, extracting, and repairing files in RAR archives. Configuration options and environment variables that can modify RAR's default behavior are also summarized.
This document provides a user's manual for the RAR archiving tool. It describes RAR's features such as compression algorithms, password protection, and file recovery capabilities. It also outlines RAR's command line syntax and lists commands for operations like adding, extracting, and repairing files in RAR archives. Configuration options and environment variables that can modify RAR's default behavior are also summarized.
ANSI ISO C Professional Programmer S HandbookNicole Heredia
ย
This chapter introduces the ANSI/ISO C++ Professional Programmer's Handbook. It discusses:
1. The origins of C++, which began in the late 1970s as an extension of C to support object-oriented programming.
2. The establishment of the ANSI committee in 1989 to standardize C++. This involved adopting an existing reference as a baseline and allowing the language to mature through feedback from users.
3. An overview of the book's contents, including discussions of language features like templates and exceptions, object-oriented design, and compatibility with C. The target audience is experienced C++ programmers.
This document describes the commands available in BusyBox. It provides brief 1-3 sentence descriptions of commands like addgroup, adduser, adjtimex, ar, arping, ash, awk, basename, bunzip2, bzcat, cal, cat, chgrp, chmod, chown, chroot, chvt, clear, cmp, cp, cpio, crond, crontab, cut, date, dc, dd, deallocvt, delgroup, deluser, devfsd, df, dirname, dmesg, dos2unix, dpkg, dpkg-deb, du, dumpkmap and more. Options and examples are provided for some commands.
The document provides information about laboratory exercises for a C++ programming course. It describes four compulsory labs that cover basic C++ programming, the standard library, strings and streams, and standard containers and algorithms. It provides instructions for setting up projects with makefiles, generating dependency files, and compiling and linking C++ programs. It also introduces a List class that students will implement to store integers in a linked list as part of their first lab assignment.
The document discusses file handling in Python. It covers opening and closing files, reading from files using methods like read(), readline(), and readlines(), and writing to files using write() and writelines(). It explains opening files in different modes like read, write and append and how they affect existing data. Examples show how to read content from and write new content to text files line by line. File handling allows storing data entered through a Python program permanently in disk files.
Workshop on command line tools - day 1Leandro Lima
ย
Slides of the I Workshop on command-line tools with the collaboration of CAG (Center for Applied Genomics - Children's Hospital of Philadelphia) bioinformatics analysts.
1st day
Powerful and efficient tool leveraging UNIX commands for streamlined automation, enabling seamless execution of complex tasks and maximizing productivity.
Chapter wise All Notes of First year Basic Civil Engineering.pptxDenish Jangid
ย
Chapter wise All Notes of First year Basic Civil Engineering
Syllabus
Chapter-1
Introduction to objective, scope and outcome the subject
Chapter 2
Introduction: Scope and Specialization of Civil Engineering, Role of civil Engineer in Society, Impact of infrastructural development on economy of country.
Chapter 3
Surveying: Object Principles & Types of Surveying; Site Plans, Plans & Maps; Scales & Unit of different Measurements.
Linear Measurements: Instruments used. Linear Measurement by Tape, Ranging out Survey Lines and overcoming Obstructions; Measurements on sloping ground; Tape corrections, conventional symbols. Angular Measurements: Instruments used; Introduction to Compass Surveying, Bearings and Longitude & Latitude of a Line, Introduction to total station.
Levelling: Instrument used Object of levelling, Methods of levelling in brief, and Contour maps.
Chapter 4
Buildings: Selection of site for Buildings, Layout of Building Plan, Types of buildings, Plinth area, carpet area, floor space index, Introduction to building byelaws, concept of sun light & ventilation. Components of Buildings & their functions, Basic concept of R.C.C., Introduction to types of foundation
Chapter 5
Transportation: Introduction to Transportation Engineering; Traffic and Road Safety: Types and Characteristics of Various Modes of Transportation; Various Road Traffic Signs, Causes of Accidents and Road Safety Measures.
Chapter 6
Environmental Engineering: Environmental Pollution, Environmental Acts and Regulations, Functional Concepts of Ecology, Basics of Species, Biodiversity, Ecosystem, Hydrological Cycle; Chemical Cycles: Carbon, Nitrogen & Phosphorus; Energy Flow in Ecosystems.
Water Pollution: Water Quality standards, Introduction to Treatment & Disposal of Waste Water. Reuse and Saving of Water, Rain Water Harvesting. Solid Waste Management: Classification of Solid Waste, Collection, Transportation and Disposal of Solid. Recycling of Solid Waste: Energy Recovery, Sanitary Landfill, On-Site Sanitation. Air & Noise Pollution: Primary and Secondary air pollutants, Harmful effects of Air Pollution, Control of Air Pollution. . Noise Pollution Harmful Effects of noise pollution, control of noise pollution, Global warming & Climate Change, Ozone depletion, Greenhouse effect
Text Books:
1. Palancharmy, Basic Civil Engineering, McGraw Hill publishers.
2. Satheesh Gopi, Basic Civil Engineering, Pearson Publishers.
3. Ketki Rangwala Dalal, Essentials of Civil Engineering, Charotar Publishing House.
4. BCP, Surveying volume 1
Gender and Mental Health - Counselling and Family Therapy Applications and In...PsychoTech Services
ย
A proprietary approach developed by bringing together the best of learning theories from Psychology, design principles from the world of visualization, and pedagogical methods from over a decade of training experience, that enables you to: Learn better, faster!
This presentation was provided by Racquel Jemison, Ph.D., Christina MacLaughlin, Ph.D., and Paulomi Majumder. Ph.D., all of the American Chemical Society, for the second session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session Two: 'Expanding Pathways to Publishing Careers,' was held June 13, 2024.
Temple of Asclepius in Thrace. Excavation resultsKrassimira Luka
ย
The temple and the sanctuary around were dedicated to Asklepios Zmidrenus. This name has been known since 1875 when an inscription dedicated to him was discovered in Rome. The inscription is dated in 227 AD and was left by soldiers originating from the city of Philippopolis (modern Plovdiv).
Philippine Edukasyong Pantahanan at Pangkabuhayan (EPP) CurriculumMJDuyan
ย
(๐๐๐ ๐๐๐) (๐๐๐ฌ๐ฌ๐จ๐ง ๐)-๐๐ซ๐๐ฅ๐ข๐ฆ๐ฌ
๐๐ข๐ฌ๐๐ฎ๐ฌ๐ฌ ๐ญ๐ก๐ ๐๐๐ ๐๐ฎ๐ซ๐ซ๐ข๐๐ฎ๐ฅ๐ฎ๐ฆ ๐ข๐ง ๐ญ๐ก๐ ๐๐ก๐ข๐ฅ๐ข๐ฉ๐ฉ๐ข๐ง๐๐ฌ:
- Understand the goals and objectives of the Edukasyong Pantahanan at Pangkabuhayan (EPP) curriculum, recognizing its importance in fostering practical life skills and values among students. Students will also be able to identify the key components and subjects covered, such as agriculture, home economics, industrial arts, and information and communication technology.
๐๐ฑ๐ฉ๐ฅ๐๐ข๐ง ๐ญ๐ก๐ ๐๐๐ญ๐ฎ๐ซ๐ ๐๐ง๐ ๐๐๐จ๐ฉ๐ ๐จ๐ ๐๐ง ๐๐ง๐ญ๐ซ๐๐ฉ๐ซ๐๐ง๐๐ฎ๐ซ:
-Define entrepreneurship, distinguishing it from general business activities by emphasizing its focus on innovation, risk-taking, and value creation. Students will describe the characteristics and traits of successful entrepreneurs, including their roles and responsibilities, and discuss the broader economic and social impacts of entrepreneurial activities on both local and global scales.
Leveraging Generative AI to Drive Nonprofit InnovationTechSoup
ย
In this webinar, participants learned how to utilize Generative AI to streamline operations and elevate member engagement. Amazon Web Service experts provided a customer specific use cases and dived into low/no-code tools that are quick and easy to deploy through Amazon Web Service (AWS.)
How to Make a Field Mandatory in Odoo 17Celine George
ย
In Odoo, making a field required can be done through both Python code and XML views. When you set the required attribute to True in Python code, it makes the field required across all views where it's used. Conversely, when you set the required attribute in XML views, it makes the field required only in the context of that particular view.
This document provides an overview of wound healing, its functions, stages, mechanisms, factors affecting it, and complications.
A wound is a break in the integrity of the skin or tissues, which may be associated with disruption of the structure and function.
Healing is the bodyโs response to injury in an attempt to restore normal structure and functions.
Healing can occur in two ways: Regeneration and Repair
There are 4 phases of wound healing: hemostasis, inflammation, proliferation, and remodeling. This document also describes the mechanism of wound healing. Factors that affect healing include infection, uncontrolled diabetes, poor nutrition, age, anemia, the presence of foreign bodies, etc.
Complications of wound healing like infection, hyperpigmentation of scar, contractures, and keloid formation.
The chapter Lifelines of National Economy in Class 10 Geography focuses on the various modes of transportation and communication that play a vital role in the economic development of a country. These lifelines are crucial for the movement of goods, services, and people, thereby connecting different regions and promoting economic activities.
B. Ed Syllabus for babasaheb ambedkar education university.pdf
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tc
1. FILES ON DISKS
-------------DISK 1
-----INSTALL
EXE - Install program
UNZIP
EXE - Decompress .ZIP files
README
COM - Reads this README
CLASSDBL ZIP BIDSDBL
PRJ - Project file for building classlibs
TCLASDBL PRJ - Project file for building classlibs
CLASSINC ZIP ABSTARRY
H - Header file for classlibs
ARRAY
H - Header file for classlibs
ARRAYS
H - Header file for classlibs
ASSOC
H - Header file for classlibs
BAG
H - Header file for classlibs
BAGS
H - Header file for classlibs
BTREE
H - Header file for classlibs
CHECKS
H - Header file for classlibs
CLSDEFS
H - Header file for classlibs
CLSTYPES
H - Header file for classlibs
COLLECT
H - Header file for classlibs
CONTAIN
H - Header file for classlibs
DBLLIST
H - Header file for classlibs
DEQUE
H - Header file for classlibs
DEQUES
H - Header file for classlibs
DICT
H - Header file for classlibs
DLISTIMP
H - Header file for classlibs
HASHTBL
H - Header file for classlibs
LDATE
H - Header file for classlibs
LIST
H - Header file for classlibs
LISTIMP
H - Header file for classlibs
LTIME
H - Header file for classlibs
MEMMGR
H - Header file for classlibs
OBJECT
H - Header file for classlibs
PRIORTYQ
H - Header file for classlibs
QUEUE
H - Header file for classlibs
QUEUES
H - Header file for classlibs
RESOURCE
H - Header file for classlibs
SET
H - Header file for classlibs
SETS
H - Header file for classlibs
SHDDEL
H - Header file for classlibs
SORTABLE
H - Header file for classlibs
SORTARRY
H - Header file for classlibs
STACK
H - Header file for classlibs
STACKS
H - Header file for classlibs
STDTEMPL
H - Header file for classlibs
STRNG
H - Header file for classlibs
TIMER
H - Header file for classlibs
VECTIMP
H - Header file for classlibs
CLASSS
ZIP BIDSS
PRJ - Project file for building classlibs
TCLASSS
PRJ - Project file for building classlibs
CLASSSRC ZIP ABSTARRY CPP
ARRAY
CPP
ASSOC
CPP
BABSTARY CPP
BDICT
CPP
BSORTARY CPP
-
Abstract array class definitions
Source file for classlibs
Association class (used by dictionary class)
Source file for classlibs
Source file for Classlibs
Source file for classlibs
2. BTREE
BTREEINN
BTREELFN
COLLECT
CONTAIN
DBLLIST
DEQUE
DICT
HASHTBL
LDATE
LIST
LTIME
MEMMGR
OBJECT
SORTARRY
STACK
STRNG
TIMER
TMPLINST
CPP
CPP
CPP
CPP
CPP
CPP
CPP
CPP
CPP
CPP
CPP
CPP
CPP
CPP
CPP
CPP
CPP
CPP
CPP
-
Tree class definitions
Tree class definitions
Tree class definitions
Ordered collection class definitions
Container class definitions
Doubly linked list class definitions
Source file for classlibs
Dictinary class definitiions
Hash table class definitions
Date class definitions
List class definitions
Time class definitions
Memory class definitions
Base class for other objects
Sorted array class definitions
Source file for classlibs
String class definitions
Timer class definitions
Timer class definitions
CMDLINE
CA2 - Split File of CMDLINE.ZIP
EXAMPLES ZIP BARCHART
C - C example file
CIRCLE
CPP - C++ example file
CIRCLE
PRJ - Project file for CIRCLE.CPP
CPASDEMO
C - C example module for the Turbo Pascal - Turbo C++
interface demonstration
CPASDEMO PAS - Pascal program that demonstrates Turbo Pascal - Turbo C++
interface
CTOPAS
CFG - Config file for Pascal - Turbo C++ interface demo
CTOPAS
PRJ - Project file for Turbo Pascal - Turbo C++ interface demo
DCOPY
CPP - C++ example file
DEF
CPP - C++ example module used by DICTION.CPP
DEF
H - Header file for DEF.CPP
DEF2
CPP - C++ example - another version of DEF.CPP
DEF2
H - Header file for DEF.CPP
DICTION
CPP - C++ example program
DICTION
H - Header file for DICTION.CPP
DYNPOINT CPP - C++ example file
DYNPOINT PRJ - Project file for DYNPOINT.CPP
EX1
CPP - C++ example program
EX2
CPP - C++ example program
EX3
CPP - C++ example program
EX4
CPP - C++ example program
EX5
CPP - C++ example program
EX5
PRJ - Project file for ex5.cpp
EX6
CPP - C++ example program
EX6
PRJ - Project file for ex6.cpp
EX7
CPP - C++ example program
EX7
PRJ - Project file for ex7.cpp
EX8
CPP - C++ example program
EX8
PRJ - Project file for ex8.cpp
EX9
CPP - C++ example program
EX9
PRJ - Project file for ex9.cpp
FIGDEMO
CPP - C++ example file
FIGDEMO
PRJ - Project file for FIGDEMO. CPP
FIGURES
CPP - C++ example file
FIGURES
H - Header file for FIGURES.CPP
FILTER
H - Header file for TASM2MSG.C and GREP2MSG.C
GAME
CPP - C example - simulated baseball game
GETOPT
C - Parses options in command line
GREP2MSG
C - Example program for Turbo C++ filters
HELLO
C - Example Turbo C++ program
INTRO1
CPP - Example program from User's Guide
4. TASM2MSG
VCIRC
VCIRC
VPOINT
VPOINT
XSTRING
FILELIST DOC
HELP
CA2
HELP
CA3
IDE
CA2
INCLUDE
ZIP
_DEFS
_NULL
ALLOC
GRAPHICS
ASSERT
BCD
BIOS
COMPLEX
CONIO
CONSTREA
CTYPE
DIR
DIRECT
DIRENT
DOS
ERRNO
FCNTL
FLOAT
FSTREAM
GENERIC
IO
IOMANIP
IOSTREAM
LIMITS
LOCALE
LOCKING
MALLOC
MATH
MEM
MEMORY
NEW
PROCESS
SEARCH
SETJMP
SHARE
SIGNAL
STAT
STDARG
STDDEF
STDIO
STDIOSTR
STDLIB
STRING
STRSTREA
TIME
TIMEB
TYPES
UTIME
VALUES
VARARGS
C
CPP
PRJ
CPP
H
CPP
XLIB
-
-
Example program for Turbo C++ filters
C++ example program
Project file for VCIRC.CPP
C++ example program
Header file for VPOINT.CPP
C++ example program
ZIP -
List & description of files
Split File of HELP.ZIP
Split File of HELP.ZIP
Split File of IDE.ZIP
Turbo C++ header files
H - Definition of _FAR, _Cdecl, _CType, _ClassType
H - Definition of NULL
H - Turbo C++ RTL header file
H - Turbo C++ RTL header file
H - Turbo C++ RTL header file
H - Turbo C++ RTL header file
H - Turbo C++ RTL header file
H - Turbo C++ RTL header file
H - Turbo C++ RTL header file
H - Turbo C++ RTL header file
H - Turbo C++ RTL header file
H - Turbo C++ RTL header file
H - Turbo C++ RTL header file
H - Turbo C++ RTL header file
H - Turbo C++ RTL header file
H - Turbo C++ RTL header file
H - Turbo C++ RTL header file
H - Turbo C++ RTL header file
H - Turbo C++ RTL header file
H - Turbo C++ RTL header file
H - Turbo C++ RTL header file
H - Turbo C++ RTL header file
H - Turbo C++ RTL header file
H - Turbo C++ RTL header file
H - Turbo C++ RTL header file
H - Turbo C++ RTL header file
H - Turbo C++ RTL header file
H - Turbo C++ RTL header file
H - Turbo C++ RTL header file
H - Turbo C++ RTL header file
H - Turbo C++ RTL header file
H - Turbo C++ RTL header file
H - Turbo C++ RTL header file
H - Turbo C++ RTL header file
H - Turbo C++ RTL header file
H - Turbo C++ RTL header file
H - Turbo C++ RTL header file
H - Turbo C++ RTL header file
H - Turbo C++ RTL header file
H - Turbo C++ RTL header file
H - Turbo C++ RTL header file
H - Turbo C++ RTL header file
H - Turbo C++ RTL header file
H - Turbo C++ RTL header file
H - Turbo C++ RTL header file
H - Turbo C++ RTL header file
H - Turbo C++ RTL header file
H - Turbo C++ RTL header file
H - Turbo C++ RTL header file
H - Turbo C++ RTL header file
5. EMU
FP87
OVERLAY
WILDARGS
GRAPHICS
README
DISK 2
-----CLIB
C0C
C0FC
CC
MATHC
LIB
LIB
LIB
OBJ
LIB
-
8087 emulator library
8087 library
Overlays library
Object code for module to expand wildcard arguments
Graphics library
- General information last minute changes to documentation
ZIP OBJ
OBJ
LIB
LIB
-
Compact
Compact
Compact
Compact
model
model
model
model
startup code
startup code
run-time library
math library
CMDLINE
CA1 OBJXREF
COM - Conversion program for object files.
BUILTINS MAK - File containing default inference rules and macros for
MAKE.EXE
CPP
EXE - Turbo C++ preprocessor
MAKE
EXE - Protected mode version of program for managing projects
MAKER
EXE - Real mode version of program for managing projects
TCC
EXE - Command-line version of Turbo C++ Compiler
TDUMP
EXE - Utility to access internal file structure
TLINK
EXE - Turbo Linker
HELP
CA1 TCHELP
TCH - Turbo C++ help file
THELP
COM - On-line help program
IDE
CA1 - Files in Turbo C++ Compiler - IDE version
TASM2MSG EXE - Display Tasm error msgs in IDE
PRJCFG
EXE - Utility to convert PRJ files
TRANCOPY EXE - Utility to access transfer data
GREP2MSG EXE - GREP filter program for IDE
PRJCNVT
EXE - Utility to convert from Turbo C 2.x project files to Turbo
C++ project files
TC
PIF - Pif file for TC.EXE
TC
EXE - Turbo C++ compiler (IDE)
TEMC
EXE - Turbo editor macro compiler
DISK 3
-----BGI
ZIP ATT
BGI
BGIDEMO
C
BGIOBJ
EXE
BOLD
CHR
CGA
BGI
EGAVGA
BGI
EURO
CHR
GOTH
CHR
HERC
BGI
IBM8514
BGI
LCOM
CHR
LITT
CHR
PC3270
BGI
SANS
CHR
SCRI
CHR
SIMP
CHR
TRIP
CHR
TSCR
CHR
-
Graphics driver for ATT400 graphics card
Graphics demonstration program
Conversion program for fonts and drivers
Font for Bold char set
Graphics driver for CGA
Graphics driver for EGA and VGA
Font for European char set
Font for gothic character set
Graphics driver for Hercules
Graphics driver for IBM 8514 graphics card
Complex char font set
Font for small character set
Graphics driver for PC3270
Font for sans serif character set
Font for script char set
Font for Simplex char set
Font for triplex character set
Font for tiny script char set
6. BIN
ZIP DPMI16BI OVL
DPMIINST EXE
DPMILOAD EXE
DPMIMEM
DLL
DPMIRES
EXE
EMSTEST
COM
GREP
COM
PRJ2MAK
EXE
TLIB
EXE
TOUCH
COM
TRIGRAPH EXE
-
Turbo C++ DPMI Server
Turbo C++ DPMI Configuration program
Turbo C++ DPMI loader
Turbo C++ DPMI memory manager
Turbo C++ DPMI resident loader(user executable)
Utility program for detecting expanded memory
Turbo GREP program
Utility to convert a TC project file into a TCC make file
Turbo Librarian
Program that updates a file's date and time
Trigraph conversion utility
CLASSDBS ZIP BIDSDBS
PRJ - Project file for building classlibs
TCLASDBS PRJ - Project file for building classlibs
CLASSEXM ZIP DIRECTRY CPP
DIRECTRY
H
DIRECTRY PRJ
FILEDATA CPP
FILEDATA
H
LOOKUP
CPP
LOOKUP
PRJ
QUEUETST CPP
QUEUETST PRJ
REVERSE
CPP
REVERSE
PRJ
STRNGMAX CPP
STRNGMAX PRJ
TESTDIR
CPP
-
Directory class example file
Header file for DIRECTRY.CPP
Project file for DIRECTRY.CPP
FileData class example file
Header file for FILEDATA.CPP
Lookup table example file
Project file for LOOKUP.CPP
Queue class example file
Project file for QUEUETST.CPP
String class example file
Project file for REVERSE.CPP
String class example file
Project file for STRNGMAX.CPP
Directory example file
CLASSL
ZIP BIDSL
PRJ - Project file for building classlibs
TCLASSL
PRJ - Project file for building classlibs
CLASSLIB ZIP TCLASDBS LIB - Library file for C++ classes
TCLASSS
LIB - Library file for C++ classes
DOC
ZIP BRIEF
TEM
CMACROS
TEM
DEFAULTS TEM
DOSEDIT
TEM
EPSILON
TEM
HELPME!
DOC
UTIL
DOC
CLASSLIB DOC
ANSI
DOC
BASM
DOC
-
Editor Macros File for Brief emulation
Editor Macros File for C emulation
Sample Editor Macros File
Editor Macros File for Dosedit emulation
Editor Macros File for Epsilon emulation
Answers to commonly asked questions
On-line documentation for utilities
On-line documentation for container classes
On-line documentation for ansi compatability
On-line documentation for BASM
HLIB
C0H
C0FH
CH
MATHH
ZIP - Huge model libraries
OBJ - Huge model startup code
OBJ - Huge model startup code
LIB - Huge model run-time library
LIB - Huge model math library
LLIB
C0L
C0FL
CL
ZIP - Large model libraries
OBJ - Large model startup code
OBJ - Large model startup code
LIB - Large model run-time library
7. MATHL
LIB - Large model math library
MLIB
C0M
C0FM
CM
MATHM
ZIP - Medium model libraries
OBJ - Medium model startup code
OBJ - Medium model startup code
LIB - Medium model run-time library
LIB - Medium model math library
SLIB
C0S
C0FS
C0T
C0FT
CS
MATHS
ZIP - Small model libraries
OBJ - Small model startup code
OBJ - Small model startup code
OBJ - Tiny model startup code
OBJ - Tiny model startup code
LIB - Small model run-time library
LIB - Small model math library
TCALC
ZIP - Files for TCALC example program
TCALC
C - TurboCalc main program source code
TCALC
DOC - TurboCalc documentation
TCALC
H - The header file for TurboCalc
TCALC
PRJ - The TurboCalc project file
TCDISPLY
C - TurboCalc screen display source code
TCINPUT
C - TurboCalc input routines source code
TCOMMAND
C - TurboCalc commands source code
TCPARSER
C - TurboCalc input parser source code
TCUTIL
C - TurboCalc utilities source code