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    Complete C++ Scientific Programming Bundle - 21 Hours!

    Posted By: ELK1nG
    Complete C++ Scientific Programming Bundle - 21 Hours!

    Complete C++ Scientific Programming Bundle - 21 Hours!
    Last updated 4/2021
    MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
    Language: English | Size: 7.54 GB | Duration: 21h 12m

    Scientific Programming with C++ Masterclass with STL, BOOST, CUDA, OpenMP and MPI Libraries: 21 Hours!

    What you'll learn

    Understand programming C++ basics to the advanced C++ 17

    Knowledge on developing complex C++ scientific applications

    Learn about C++ libraries STL, BOOST, MPI, OpenMP

    Be in a position to apply for Developer jobs, PhD and research positions requiring good C++

    Requirements

    None, this course will cover the basics of C++ to the advanced and useful libraries like STL, BOOST, OpenMP and MPI!

    Description

    The 'Scientific Programming with C++' is easiest and the most innovative and complete hands-on practical C++ course on the Udemy Platform for learning scientific and research data programming! While languages like Python and R are increasingly popular for Scientific Programming or Data sciences, C/ C++ can be a stronger choice for efficient and effective data and scientific computing. In this course, we hands-on the latest C++17 for Scientific Programming.  The focus of this course lies on learning beginner to advanced programming on high-performance computers, object-oriented software design, generic or template-based programming, and the efficient implementation of numerical algorithms. C++ is the best choice for efficient and effective programming in Research Data mining & Scientific Computing. In this course, we will hands-on the latest C++17 for Scientific Programming. Learn from the basics of C++ to the advanced and useful libraries like STL, BOOST, OpenMP and MPI! Main learning goals in this awesome course can be formulated as:COURSE FEATURESGet a basic concepts on the programming with C++.Learn how to program with modern C++, using generic programming and advanced techniques, like meta programming, expression templates, and concepts.Learn how to use programming tools and you can apply these tools to debug, benchmark, and manage your code. The list of tools include compilers, build systems, version control, debuggers, and profilers.Learn to read, understand, and utilize (scientific) software libraries, like BLAS (Basic Linear Algebra Subroutines), LAPACK (Linear Algebra Package), STL (Standard template library), Boost (portable C++ library).Learn how to code in HPC, using OpenMP and MPI.There are numerous hands-on to practice the C++ programming throughout the course. Happy coding!The focus of this course lies on aspects of software development like programming on high-performance computers, object-oriented software design, generic (template-based) programming, and the efficient implementation of numerical algorithms. Additionally experience in analysis, application and extension of software and software libraries is developed.  Three main learning goals can be formulated:  You know how to program with modern C++, using generic programming and advanced techniques, like meta programming, expression templates, and concepts. You know how to use programming tools and you can apply these tools to debug, benchmark, and manage your code. The list of tools include compilers, build systems, version control, debuggers, and profilers.  You can read, understand, and utilize (scientific) software libraries, like BLAS (Basic Linear Algebra Subroutines), LAPACK (Linear Algebra Package), STL (Standard template library), Dune (framework for the discretization of partial differential equations), MTL4 (Matrix Template Library), Boost (portable C++ library). There will be interactive exercises to practice the C++. programming.Based on your earlier feedback, we are introducing a Zoom live class lecture series on this course through which we will explain different aspects of the C++17. Live classes will be delivered through the Scientific Programming School, which is an interactive and advanced e-learning platform for learning scientific coding. Students purchasing this course will receive free access to the interactive version (with Scientific code playgrounds) of this course from the Scientific Programming School (SCIENTIFIC PROGRAMMING IO). Instructions to join are given in the bonus content section.Q&APlease use the Q&A feature on Udemy to ask questions! We'd love to talk about why regular expressions don't seem to be working, discussing decisions we made about course content, and debating regular expression philosophy. There’s no risk involved in taking this Course! This course comes with a 30-day money-back guarantee. Once you Enroll for this Course, you get lifetime access to this course and you will get all the future updates. you also get a Certification of Completion once you complete the course.REQUIREMENTSYou will need a grasp of basic C++. It is a self-learning course with all Linux environments provided.WHY YOU SHOULD GET THIS COURSE?        Understand programming C++ basics to the advanced C++ 17        Knowledge on developing complex C++ scientific applications        Learn about C++ libraries STL, BOOST, MPI, OpenMP        Be in a position to apply for Developer jobs, PhD and research positions requiring good C++

    Overview

    Section 1: C++ Fundamentals

    Lecture 1 Welcome

    Lecture 2 Why Get this Course?

    Lecture 3 Instructor

    Lecture 4 Free Interactive Shell with C++ Compiler

    Lecture 5 Variables

    Lecture 6 Conditions

    Lecture 7 Arrays

    Lecture 8 Loops

    Lecture 9 Structures

    Lecture 10 Functions

    Lecture 11 Classes

    Lecture 12 Pointers

    Lecture 13 Inheritance

    Lecture 14 Function Templates

    Lecture 15 Class Templates

    Section 2: C++ Advanced (C++11 and 17 Standards)

    Lecture 16 Struct vs Class

    Lecture 17 Streams

    Lecture 18 Strings

    Lecture 19 Initializer

    Lecture 20 Rvalue - Move semantics and forwarding

    Lecture 21 Literals - User Defined

    Lecture 22 Functions - Compiler Generated

    Lecture 23 Pointers - Shared, Weak and Unique

    Lecture 24 Classes - Resource managing

    Lecture 25 Library - Regular Expressions

    Lecture 26 Library - Clock and Timer

    Lecture 27 Library - Random Numbers

    Lecture 28 Tuples

    Lecture 29 Constants

    Lecture 30 Constructors and Destructors

    Lecture 31 Operator Overloading - Assignments

    Lecture 32 Types - Conversion and Casting

    Lecture 33 Inheritance

    Lecture 34 Operators - New Operator and Handler

    Section 3: C++ Standard Template Library (STL)

    Lecture 35 STL - Sequences (Vectors, List and Deque)

    Lecture 36 STL - Associative Containers (Set and Map)

    Lecture 37 STL - Unordered Associative Containers (Set and Map)

    Lecture 38 STL - Iterators and Iterator Operations (Copy, Insert, etc.)

    Lecture 39 STL - Functors

    Lecture 40 STL - Non-Modifying Algorithms (Count, Min, Max, etc.)

    Lecture 41 STL - Modifying Algorithms (Copy, Move, Swap, Transform, etc.)

    Lecture 42 STL - Sorting and Searching Algorithms

    Lecture 43 STL - Container Functions - Members vs Algorithms

    Lecture 44 STL - Reverse Iterator

    Lecture 45 STL - Find with Equivalence vs Equality

    Lecture 46 STL - Remove Elements

    Lecture 47 STL - Vectors vs Deques

    Lecture 48 STL - Object Slicing

    Lecture 49 Source Codes - Download

    Section 4: C++ Boost Library

    Lecture 50 Boost - Lexical Cast

    Lecture 51 Boost - Variants

    Lecture 52 Boost - Any

    Lecture 53 Boost - Optional

    Lecture 54 Boost - Arrays

    Lecture 55 Boost Graphs Library - BGL

    Lecture 56 Source Codes - Download

    Section 5: C++ Concurrency (Threads)

    Lecture 57 Threads

    Lecture 58 Race and Mutex

    Lecture 59 Deadlock, Unique Lock and Lazy Initialization

    Lecture 60 Conditions - Threads

    Lecture 61 Future, Promise and Async

    Lecture 62 Callable Objects

    Lecture 63 Packaged Tasks

    Lecture 64 Time Constraints

    Section 6: C++ OpenMP - Multithreaded Parallel Programming

    Lecture 65 What is OpenMP - Multithreaded Parallel Programming?

    Lecture 66 C++ OpenMP - Introduction

    Lecture 67 C++ OpenMP - Fork and Join

    Lecture 68 C++ OpenMP - Components for the Fork and Join

    Lecture 69 C++ OpenMP - Synchronization

    Lecture 70 C++ OpenMP - Clauses

    Lecture 71 C++ OpenMP - Reduction (For-loop)

    Lecture 72 C++ OpenMP - Parallel For-loop (Source Code)

    Lecture 73 C++ OpenMP - Scheduling

    Lecture 74 C++ OpenMP - Data Sharing

    Lecture 75 C++ OpenMP - Worksharing Constructs

    Lecture 76 C++ OpenMP - Hello World (Source Code)

    Lecture 77 C++ OpenMP - Hello World! (HPC Demo)

    Lecture 78 C++ OpenMP - Section Parallelization

    Lecture 79 C++ OpenMP - Vector Addition (Source Code)

    Section 7: C++ MPI - Distributed Programming

    Lecture 80 C++ MPI: Introduction

    Lecture 81 C++ MPI - What is Message Passing Interface?

    Lecture 82 C++ MPI - Basics

    Lecture 83 C++ MPI - Program Structure

    Lecture 84 C++ MPI: Hellow World (Source Code)

    Lecture 85 C++ MPI - Hello World (Demo)

    Lecture 86 C++ MPI: Send and Receive (Concept)

    Lecture 87 C++ MPI: Send and Receive

    Lecture 88 C++ MPI - Simultaneous Send and Receive

    Lecture 89 C++ MPI - Collective Communication

    Lecture 90 C++ MPI - Non-Blocking Communication

    Lecture 91 C++ MPI - Topologies

    Section 8: C++ CUDA - GPU Programming

    Lecture 92 C++ CUDA - Install

    Lecture 93 C++ CUDA - Concepts

    Lecture 94 C++ CUDA - Programming Model

    Lecture 95 C++ CUDA - Parallelizing a For-Loop

    Lecture 96 C++ CUDA - Indexing Threads within Grids and Blocks

    Lecture 97 C++ CUDA - Memory Model

    Lecture 98 C++ CUDA - Synchronization

    Lecture 99 C++ CUDA - Vector Addition (Demonstration)

    Lecture 100 C++ CUDA - Vector Addition (Source Code)

    Section 9: C++ Scientitfic Libraries: MKL

    Lecture 101 MKL - Intel® Math Kernel Library

    Lecture 102 C++ MKL - Matrix Multiplication

    Lecture 103 C++ MKL - Matrix Multiplication (Source Code)

    Lecture 104 C++ MKL: Eigen Vector

    Section 10: Scientific Software and HPC Job Submission

    Lecture 105 Software Modules

    Lecture 106 PBS Job Submission Commands

    Lecture 107 Scientific Jobs Submission with PBS

    Lecture 108 Slurm Commands

    Lecture 109 Scientific Jobs Submission with Slurm

    Section 11: Additional Content

    Lecture 110 Scientific Programming School FREE Content - Introduction to the Interactive C++

    Lecture 111 Interactive Version Access - FREE!

    Lecture 112 Interactive Shell (by Scientific Programming School)

    Developers, Analysts, Research positions requiring good C++