Microsoft Windows Server Training Classes in Chesapeake, Virginia
Learn Microsoft Windows Server in Chesapeake, Virginia and surrounding areas via our hands-on, expert led courses. All of our classes either are offered on an onsite, online or public instructor led basis. Here is a list of our current Microsoft Windows Server related training offerings in Chesapeake, Virginia: Microsoft Windows Server Training
Microsoft Windows Server Training Catalog
.NET Classes
Exchange Server Classes
Windows 10 Classes
Windows 8 Classes
Course Directory [training on all levels]
- .NET Classes
- Agile/Scrum Classes
- Ajax Classes
- Android and iPhone Programming Classes
- Blaze Advisor Classes
- C Programming Classes
- C# Programming Classes
- C++ Programming Classes
- Cisco Classes
- Cloud Classes
- CompTIA Classes
- Crystal Reports Classes
- Design Patterns Classes
- DevOps Classes
- Foundations of Web Design & Web Authoring Classes
- Git, Jira, Wicket, Gradle, Tableau Classes
- IBM Classes
- Java Programming Classes
- JBoss Administration Classes
- JUnit, TDD, CPTC, Web Penetration Classes
- Linux Unix Classes
- Machine Learning Classes
- Microsoft Classes
- Microsoft Development Classes
- Microsoft SQL Server Classes
- Microsoft Team Foundation Server Classes
- Microsoft Windows Server Classes
- Oracle, MySQL, Cassandra, Hadoop Database Classes
- Perl Programming Classes
- Python Programming Classes
- Ruby Programming Classes
- Security Classes
- SharePoint Classes
- SOA Classes
- Tcl, Awk, Bash, Shell Classes
- UML Classes
- VMWare Classes
- Web Development Classes
- Web Services Classes
- Weblogic Administration Classes
- XML Classes
- Go Language Essentials
29 July, 2024 - 1 August, 2024 - Linux Fundaments GL120
15 July, 2024 - 19 July, 2024 - Object-Oriented Programming in C# Rev. 6.1
24 June, 2024 - 28 June, 2024 - Introduction to Python 3.x
29 April, 2024 - 2 May, 2024 - OpenShift Fundamentals
22 April, 2024 - 24 April, 2024 - See our complete public course listing
Blog Entries publications that: entertain, make you think, offer insight
In this tutorial we are going to take a look at how you work with strings in Python. Now, any language worth its salt will have a number of options for working with text and Python is probably one of the best to use when it comes to processing text.
If you are new to programming in general you may be wondering what a string is. In terms of programming, a string is classed as any sequence of characters you can type with your keyboard, and let’s face it, if you want your application to be of any use to yourself or other users then you need it to tell you what it’s doing or to prompt you for an action, and that is where strings come into play.
They are your applications way of communicating with the user. Without the ability to enter and display text or software would be pretty useless.
So, how would you create a string in Python? Take a look at the following code:
Since its foundation, HSG has been a leader in Business Rule Management Systems Training and Consulting services by way of the Blaze Advisor Rule Engine. Over the years we have provided such services to many of the worlds largest corporations and government institutions whose respective backgrounds include credit card processing, banking, insurance, health and medicine and more, much more. Such training and consulting services have included:
Create a wrapper object model in either Java, .NET or XML
Identify and catalog business rules
Develop a rule architecture within Blaze Advisor that isolates rule repositories as they relate to functionality and corporate policies
Configure, develop and implement a variety of interfaces to the rule engine from disparate systems ranging from mainframe applications written in Cobol to UNIX/Windows applications using Enterprise Java Beans, Windows Services, Web Services, Fat Clients, Java Messaging Services and Web Applications.
Review and update code to boost efficiency either by way of
Removing functions calls within conditional statements
Ensuring that database calls are essential or can be rearchitected in some other manner
Employing the rete algorithm where necessary
Paring down extensively large class models
Deploying such appliations in multi-threaded systems
· ...
Call us if you:
are in need of Blaze Advisor Expertise
are developing SMEs in Blaze
want to speak directly with an expert (no placement agencies)
want an affordable alternative to FICO
want to work with an industry leader
Recently, the new iOS update had added Reminders to the iPhone. If you ever found yourself setting notes on your iPhone to remember to do things, such as buying milk while at the grocery store, this process has become leagues upon leagues simpler, and faster. On your iPhone is an application named “Reminders”. Tap on this application and experience the new world of To-Do lists.
Right away, you are greeted by a screen that looks similar to a notepad, where you would be scribbling down reminders for this, and for that. To start off, tap on the plus button, and you are able to input the reminder you want. Say you want to be reminded to “Buy Milk.” Just type that into the application and you’re good to go.
But wait, there’s more. What this new application brings to the table that is extremely useful is the fact that your iPhone can remind you to do that task at a certain location, which, in this case, is buying milk. If you had saved your regular grocery store in your Maps application as a favorite location, you are able to do so. (To save a favorite location, go into your Maps application, search for your nearest grocery store that you regularly shop at, tap on the pin, tap on the blue arrow to get more information, and “Add to Bookmarks.”) In order to remind you to buy milk at your favorite grocery store, slide the “Off” to “On” and you are now able to set where you would like to be reminded at, and at what point in time. Now, you will never leave the grocery store without buying milk!
Machine learning systems are equipped with artificial intelligence engines that provide these systems with the capability of learning by themselves without having to write programs to do so. They adjust and change programs as a result of being exposed to big data sets. The process of doing so is similar to the data mining concept where the data set is searched for patterns. The difference is in how those patterns are used. Data mining's purpose is to enhance human comprehension and understanding. Machine learning's algorithms purpose is to adjust some program's action without human supervision, learning from past searches and also continuously forward as it's exposed to new data.
The News Feed service in Facebook is an example, automatically personalizing a user's feed from his interaction with his or her friend's posts. The "machine" uses statistical and predictive analysis that identify interaction patterns (skipped, like, read, comment) and uses the results to adjust the News Feed output continuously without human intervention.
Impact on Existing and Emerging Markets
The NBA is using machine analytics created by a California-based startup to create predictive models that allow coaches to better discern a player's ability. Fed with many seasons of data, the machine can make predictions of a player's abilities. Players can have good days and bad days, get sick or lose motivation, but over time a good player will be good and a bad player can be spotted. By examining big data sets of individual performance over many seasons, the machine develops predictive models that feed into the coach’s decision-making process when faced with certain teams or particular situations.
General Electric, who has been around for 119 years is spending millions of dollars in artificial intelligence learning systems. Its many years of data from oil exploration and jet engine research is being fed to an IBM-developed system to reduce maintenance costs, optimize performance and anticipate breakdowns.
Over a dozen banks in Europe replaced their human-based statistical modeling processes with machines. The new engines create recommendations for low-profit customers such as retail clients, small and medium-sized companies. The lower-cost, faster results approach allows the bank to create micro-target models for forecasting service cancellations and loan defaults and then how to act under those potential situations. As a result of these new models and inputs into decision making some banks have experienced new product sales increases of 10 percent, lower capital expenses and increased collections by 20 percent.
Emerging markets and industries
By now we have seen how cell phones and emerging and developing economies go together. This relationship has generated big data sets that hold information about behaviors and mobility patterns. Machine learning examines and analyzes the data to extract information in usage patterns for these new and little understood emergent economies. Both private and public policymakers can use this information to assess technology-based programs proposed by public officials and technology companies can use it to focus on developing personalized services and investment decisions.
Machine learning service providers targeting emerging economies in this example focus on evaluating demographic and socio-economic indicators and its impact on the way people use mobile technologies. The socioeconomic status of an individual or a population can be used to understand its access and expectations on education, housing, health and vital utilities such as water and electricity. Predictive models can then be created around customer's purchasing power and marketing campaigns created to offer new products. Instead of relying exclusively on phone interviews, focus groups or other kinds of person-to-person interactions, auto-learning algorithms can also be applied to the huge amounts of data collected by other entities such as Google and Facebook.
A warning
Traditional industries trying to profit from emerging markets will see a slowdown unless they adapt to new competitive forces unleashed in part by new technologies such as artificial intelligence that offer unprecedented capabilities at a lower entry and support cost than before. But small high-tech based companies are introducing new flexible, adaptable business models more suitable to new high-risk markets. Digital platforms rely on algorithms to host at a low cost and with quality services thousands of small and mid-size enterprises in countries such as China, India, Central America and Asia. These collaborations based on new technologies and tools gives the emerging market enterprises the reach and resources needed to challenge traditional business model companies.
Tech Life in Virginia
Company Name | City | Industry | Secondary Industry |
---|---|---|---|
Brink's Inc. | Richmond | Business Services | Security Services |
Federal Home Loan Mortgage Corporation (Freddie Mac) | Mc Lean | Financial Services | Lending and Mortgage |
General Dynamics Corporation | Falls Church | Manufacturing | Aerospace and Defense |
CarMax, Inc. | Henrico | Retail | Automobile Dealers |
NVR, Inc. | Reston | Real Estate and Construction | Construction and Remodeling |
Gannett Co., Inc. | Mc Lean | Media and Entertainment | Newspapers, Books and Periodicals |
Smithfield Foods, Inc. | Smithfield | Manufacturing | Food and Dairy Product Manufacturing and Packaging |
ManTech International Corporation | Fairfax | Computers and Electronics | IT and Network Services and Support |
DynCorp International | Falls Church | Manufacturing | Aerospace and Defense |
Genworth Financial, Inc. | Richmond | Financial Services | Insurance and Risk Management |
MeadWestvaco Corporation | Richmond | Manufacturing | Paper and Paper Products |
Dollar Tree, Inc. | Chesapeake | Retail | Department Stores |
Alpha Natural Resources, Inc. | Abingdon | Agriculture and Mining | Mining and Quarrying |
SRA International, Inc. | Fairfax | Business Services | Business Services Other |
NII Holdings, Inc. | Reston | Telecommunications | Wireless and Mobile |
Dominion Resources, Inc. | Richmond | Energy and Utilities | Gas and Electric Utilities |
Norfolk Southern Corporation | Norfolk | Transportation and Storage | Freight Hauling (Rail and Truck) |
CACI International Inc. | Arlington | Software and Internet | Data Analytics, Management and Storage |
Amerigroup Corporation | Virginia Beach | Financial Services | Insurance and Risk Management |
Owens and Minor, Inc. | Mechanicsville | Healthcare, Pharmaceuticals and Biotech | Personal Health Care Products |
Advance Auto Parts, Inc | Roanoke | Retail | Automobile Parts Stores |
SAIC | Mc Lean | Software and Internet | Software |
AES Corporation | Arlington | Energy and Utilities | Gas and Electric Utilities |
Capital One Financial Corporation | Mc Lean | Financial Services | Credit Cards and Related Services |
Sunrise Senior Living, Inc. | Mc Lean | Healthcare, Pharmaceuticals and Biotech | Residential and Long-Term Care Facilities |
Computer Sciences Corporation | Falls Church | Software and Internet | Software |
Altria Group, Inc. | Richmond | Manufacturing | Manufacturing Other |
Northrop Grumman Corporation | Falls Church | Manufacturing | Aerospace and Defense |
Alliant Techsystems Inc. | Arlington | Manufacturing | Aerospace and Defense |
Markel Corporation | Glen Allen | Financial Services | Insurance and Risk Management |
training details locations, tags and why hsg
The Hartmann Software Group understands these issues and addresses them and others during any training engagement. Although no IT educational institution can guarantee career or application development success, HSG can get you closer to your goals at a far faster rate than self paced learning and, arguably, than the competition. Here are the reasons why we are so successful at teaching:
- Learn from the experts.
- We have provided software development and other IT related training to many major corporations in Virginia since 2002.
- Our educators have years of consulting and training experience; moreover, we require each trainer to have cross-discipline expertise i.e. be Java and .NET experts so that you get a broad understanding of how industry wide experts work and think.
- Discover tips and tricks about Microsoft Windows Server programming
- Get your questions answered by easy to follow, organized Microsoft Windows Server experts
- Get up to speed with vital Microsoft Windows Server programming tools
- Save on travel expenses by learning right from your desk or home office. Enroll in an online instructor led class. Nearly all of our classes are offered in this way.
- Prepare to hit the ground running for a new job or a new position
- See the big picture and have the instructor fill in the gaps
- We teach with sophisticated learning tools and provide excellent supporting course material
- Books and course material are provided in advance
- Get a book of your choice from the HSG Store as a gift from us when you register for a class
- Gain a lot of practical skills in a short amount of time
- We teach what we know…software
- We care…