C# Programming Training Classes in Harrisburg, Pennsylvania

Learn C# Programming in Harrisburg, Pennsylvania 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 C# Programming related training offerings in Harrisburg, Pennsylvania: C# Programming Training

We offer private customized training for groups of 3 or more attendees.
Harrisburg  Upcoming Instructor Led Online and Public C# Programming Training Classes
Object-Oriented Programming in C# Training/Class 22 June, 2020 - 26 June, 2020 $2090
HSG Training Center
Harrisburg, Pennsylvania
Hartmann Software Group Training Registration
20483: Programming in C# Training/Class 4 May, 2020 - 8 May, 2020 $2090
HSG Training Center
Harrisburg, Pennsylvania
Hartmann Software Group Training Registration
ASP.NET Core MVC Training/Class 27 July, 2020 - 28 July, 2020 $790
HSG Training Center
Harrisburg, Pennsylvania
Hartmann Software Group Training Registration

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Studying a functional programming language is a good way to discover new approaches to problems and different ways of thinking. Although functional programming has much in common with logic and imperative programming, it uses unique abstractions and a different toolset for solving problems. Likewise, many current mainstream languages are beginning to pick up and integrate various techniques and features from functional programming.

Many authorities feel that Haskell is a great introductory language for learning functional programming. However, there are various other possibilities, including Scheme, F#, Scala, Clojure, Erlang and others.

Haskell is widely recognized as a beautiful, concise and high-performing programming language. It is statically typed and supports various cool features that augment language expressivity, including currying and pattern matching. In addition to monads, the language support a type-class system based on methods; this enables higher encapsulation and abstraction. Advanced Haskell will require learning about combinators, lambda calculus and category theory. Haskell allows programmers to create extremely elegant solutions.

Scheme is another good learning language -- it has an extensive history in academia and a vast body of instructional documents. Based on the oldest functional language -- Lisp -- Scheme is actually very small and elegant. Studying Scheme will allow the programmer to master iteration and recursion, lambda functions and first-class functions, closures, and bottom-up design.

Supported by Microsoft and growing in popularity, F# is a multi-paradigm, functional-first programming language that derives from ML and incorporates features from numerous languages, including OCaml, Scala, Haskell and Erlang. F# is described as a functional language that also supports object-oriented and imperative techniques. It is a .NET family member. F# allows the programmer to create succinct, type-safe, expressive and efficient solutions. It excels at parallel I/O and parallel CPU programming, data-oriented programming, and algorithmic development.

Scala is a general-purpose programming and scripting language that is both functional and object-oriented. It has strong static types and supports numerous functional language techniques such as pattern matching, lazy evaluation, currying, algebraic types, immutability and tail recursion. Scala -- from "scalable language" -- enables coders to write extremely concise source code. The code is compiled into Java bytecode and executes on the ubiquitous JVM (Java virtual machine).

Like Scala, Clojure also runs on the Java virtual machine. Because it is based on Lisp, it treats code like data and supports macros. Clojure's immutability features and time-progression constructs enable the creation of robust multithreaded programs.

Erlang is a highly concurrent language and runtime. Initially created by Ericsson to enable real-time, fault-tolerant, distributed applications, Erlang code can be altered without halting the system. The language has a functional subset with single assignment, dynamic typing, and eager evaluation. Erlang has powerful explicit support for concurrent processes.

 

Computer Programming as a Career?

What little habits make you a better software engineer?

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.

Data has always been important to business. While it wasn't long ago that businesses kept minimal information on people who bought their products, nowadays companies keep vast amounts of data. In the late 20th century, marketers began to take demographics seriously. It was hard to keep track of so much information without the help of computers.

Only large companies in the '60s and '70s could afford the research necessary to deliver real marketing insight. The marketers of yesteryear relied upon focus groups and expensive experiments to gauge consumer behavior in a controlled environment. Today even the smallest of companies can have access to a rich array of real-world data about their consumers' behavior and their consumers. The amount of data that is stored today dwarfs the data of only a few years ago by several orders of magnitude.

So what kind of information are businesses storing for marketing purposes? Some examples include:

- Demographic information — age, gender, ethnicity, education, occupation and various other individual characteristics.

As part of our C++ Tutorials series, here is a tutorial on the tricks of the trade for using C++ I/O.  Keep in mind that an application without I/O is just a black box; no communcation is taking place.  wink

Tricks and Tips for using C++ I/O

Tech Life in Pennsylvania

The first daily newspaper was published in Philadelphia in 1784. In 1946 Philadelphia became home to the first computer. The State College Area High School was the first school in the country to teach drivers education in 1958. Pennsylvania has an impressive collection of schools, 500 public school districts, thousands of private schools, publicly funded colleges and universities, and over 100 private institutions of higher education. The University of Pennsylvania is also the Commonwealth's only, and geographically the most southern, Ivy League school.
Good judgment comes from experience, and experience comes from bad judgment. Frederick P. Brooks
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Software developers near Harrisburg have ample opportunities to meet like minded techie individuals, collaborate and expend their career choices by participating in Meet-Up Groups. The following is a list of Technology Groups in the area.
Fortune 500 and 1000 companies in Pennsylvania that offer opportunities for C# Programming developers
Company Name City Industry Secondary Industry
The Hershey Company Hershey Manufacturing Food and Dairy Product Manufacturing and Packaging
Crown Holdings, Inc. Philadelphia Manufacturing Metals Manufacturing
Air Products and Chemicals, Inc. Allentown Manufacturing Chemicals and Petrochemicals
Dick's Sporting Goods Inc Coraopolis Retail Sporting Goods, Hobby, Book, and Music Stores
Mylan Inc. Canonsburg Healthcare, Pharmaceuticals and Biotech Pharmaceuticals
UGI Corporation King Of Prussia Energy and Utilities Gas and Electric Utilities
Aramark Corporation Philadelphia Business Services Business Services Other
United States Steel Corporation Pittsburgh Manufacturing Manufacturing Other
Comcast Corporation Philadelphia Telecommunications Cable Television Providers
PPL Corporation Allentown Energy and Utilities Gas and Electric Utilities
SunGard Wayne Computers and Electronics IT and Network Services and Support
WESCO Distribution, Inc. Pittsburgh Energy and Utilities Energy and Utilities Other
PPG Industries, Inc. Pittsburgh Manufacturing Chemicals and Petrochemicals
Airgas Inc Radnor Manufacturing Chemicals and Petrochemicals
Rite Aid Corporation Camp Hill Retail Grocery and Specialty Food Stores
The PNC Financial Services Group Pittsburgh Financial Services Banks
Universal Health Services, Inc. King Of Prussia Healthcare, Pharmaceuticals and Biotech Hospitals
Erie Insurance Group Erie Financial Services Insurance and Risk Management
Pierrel Research Wayne Healthcare, Pharmaceuticals and Biotech Biotechnology
Unisys Corporation Blue Bell Computers and Electronics IT and Network Services and Support
Lincoln Financial Group Radnor Financial Services Insurance and Risk Management
AmerisourceBergen Wayne Healthcare, Pharmaceuticals and Biotech Pharmaceuticals
Sunoco, Inc. Philadelphia Manufacturing Chemicals and Petrochemicals
CONSOL Energy Inc. Canonsburg Energy and Utilities Gas and Electric Utilities
H. J. Heinz Company Pittsburgh Manufacturing Food and Dairy Product Manufacturing and Packaging

training details locations, tags and why hsg

A successful career as a software developer or other IT professional requires a solid understanding of software development processes, design patterns, enterprise application architectures, web services, security, networking and much more. The progression from novice to expert can be a daunting endeavor; this is especially true when traversing the learning curve without expert guidance. A common experience is that too much time and money is wasted on a career plan or application due to misinformation.

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.
    1. We have provided software development and other IT related training to many major corporations in Pennsylvania since 2002.
    2. 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 C# Programming programming
  • Get your questions answered by easy to follow, organized C# Programming experts
  • Get up to speed with vital C# Programming 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…
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Interesting Reads Take a class with us and receive a book of your choosing for 50% off MSRP.