In this C++ for Beginners training course, expert author John Dubchak will teach you everything you need to know to start programming with C++. This course is designed for users who are familiar with general programming concepts, although no previous experience with C++ is required.
A friend function of a class is defined outside that class' scope but it has the right to access all private and protected members of the class. Even though the prototypes for friend functions appear in the class definition, friends are not member functions.
One of the most important concepts in object-oriented programming is that of inheritance. Inheritance allows us to define a class in terms of another class, which makes it easier to create and maintain an application. This also provides an opportunity to reuse the code functionality and fast implementation time.
A template is a cookie-cutter that specifies how to cut cookies that all look pretty much the same (although the cookies can be made of various kinds of dough, they’ll all have the same basic shape). In the same way, a class template is a cookie cutter for a description of how to build a family of classes that all look basically the same, and a function template describes how to build a family of similar looking functions. Class templates are often used to build type safe containers (although this only scratches the surface for how they can be used).
Welcome to the C# Quickstarts. These start with interactive lessons that you can run in your browser.
The first lessons explain C# concepts using small snippets of code. You'll learn the basics of C# syntax and how to work with data types like strings, numbers, and booleans. It's all interactive, and you'll be writing and running code within minutes. These first lessons assume no prior knowledge of programming or the C# language.
C# Types vs. C++ Types
C++ 2013 for C# Developers provides a fast-track to C++ proficiency forthose already using the C# language at an advanced level. Beginning with a detailed explanation of the mechanics of C++'s execution sequence, its grammar, syntax and data access you'll quickly learn the similarities and differences between C++ and C#. The second and third partsof the of the book are devoted to a detailed deep-dive into C++ development to provide clear information and advice about how to use the languageeffectively.
You'll learn to code by completing coding challenges and building projects. You'll also earn verified certificates along the way. We also encourage you to join a study group in your city so you can code in-person with other people.
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On Windows machines that it is necessary to add the JDK path to the Windows PATH statement.
This source will show you how to create simple search using PHP and MySQL. You'll learn: How to use GET and POST methods; Connect to database; Communicate with database; Find matching database entries with given word or phrase; Display results
PL/SQL is a combination of SQL along with the procedural features of programming languages. It was developed by Oracle Corporation in the early 90's to enhance the capabilities of SQL. PL/SQL is one of three key programming languages embedded in the Oracle Database, along with SQL itself and Java. This tutorial will give you great understanding on PL/SQL to proceed with Oracle database and other advanced RDBMS concepts.
Statistical Computing with R by Maria L. RizzoComputational statistics and statistical computing are two areas that employ computational, graphical, and numerical approaches to solve statistical problems, making the versatile R language an ideal computing environment for these fields. One of the first books on these topics to feature R, Statistical Computing with Rcovers the traditional core material of computational statistics, with an emphasis on using the R language via an examples-based approach. Suitable for an introductory course in computational statistics or for self-study, it includes R code for all examples and R notes to help explain the R programming concepts. After an overview of computational statistics and an introduction to the R computing environment, the book reviews some basic concepts in probability and classical statistical inference. Each subsequent chapter explores a specific topic in computational statistics. These chapters cover the simulation of random variables from probability distributions, the visualization of multivariate data, Monte Carlo integration and variance reduction methods, Monte Carlo methods in inference, bootstrap and jackknife, permutation tests, Markov chain Monte Carlo (MCMC) methods, and density estimation. The final chapter presents a selection of examples that illustrate the application of numerical methods using R functions. Focusing on implementation rather than theory, this text serves as a balanced, accessible introduction to computational statistics and statistical computing.
Tutorials help in learning new functionality in SQL Server. In SQL Server Books Online, tutorials have been integrated into the content that is associated with each component technology. For example, tutorials that describe how to design and implement Integration Services packages are under "Designing and Implementing Packages" in the Integration Services section of Books Online.
You can run the CREATE INDEX statement from the SQL window or use Data Access Objects (DAO) or ActiveX Data Objects (ADO) to execute the SQL statement. The SQL window is a good place to test a SQL statement. If it's correct, you can cut and paste it into a VBA module. To open the SQL window, switch to the Queries sheet in the Database window, click New and double-click on Design View. Close the Show Table dialog box and then click the View button, which defaults to SQL view.
Works with Mac, Windows and Linux.
Installs Conda package manager, packages, and programs:
■ Good IDE Sypder
■ Jupyter Notebooks
■ VS Code
Developed for solo practitioners, it is the toolkit that equips you to work with thousands of open-source packages and libraries.
For just conda package manager use Miniconda.
Miniconda is a free minimal installer for conda. It is a small, bootstrap version of Anaconda that includes only conda, Python, the packages they depend on, and a small number of other useful packages, including pip, zlib and a few others.
Conda is a powerful package manager and environment manager that you use with command line commands at the Anaconda Prompt for Windows, or in a terminal window for macOS or Linux.
This 20-minute guide to getting started with conda lets you try out the major features of conda. You should understand how conda works when you finish this guide.
With conda, you can create, export, list, remove, and update environments that have different versions of Python and/or packages installed in them. Switching or moving between environments is called activating the environment. You can also share an environment file.
In this Python Beyond the Basics - Object-Oriented Programming training course, expert author David Blaikie will teach you how to design Python classes, and how to implement object-oriented programming concepts in Python.
This course is designed for users that already have a basic working knowledge of Python.
Build robust and maintainable applications with object-oriented a in Python. About This Video
Write your own logging classes and documentation and unit-test your code
Use Python's special methods to integrate seamlessly with built-in features and the Standard library
Design classes to support object persistence in JSON, YAML, Pickle, CSV, XML, Shelve, and SQL
Beautiful Soup is a Python library for pulling data out of HTML and XML files. It works with your favorite parser to provide idiomatic ways of navigating, searching, and modifying the parse tree. It commonly saves programmers hours or days of work.
The tkinter package (“Tk interface”) is the standard Python interface to the Tk GUI toolkit. Both Tk and tkinter are available on most Unix platforms, as well as on Windows systems. (Tk itself is not part of Python; it is maintained at ActiveState).
Flask is a lightweight WSGI web application framework. It is designed to make getting started quick and easy, with the ability to scale up to complex applications. It began as a simple wrapper around Werkzeug and Jinja and has become one of the most popular Python web application frameworks.