C# Programming Training Classes in Niagara Falls, New York

Learn C# Programming in Niagara Falls, NewYork 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 Niagara Falls, New York: C# Programming Training

We offer private customized training for groups of 3 or more attendees.
Niagara-Falls  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
Niagara-Falls, New York
Hartmann Software Group Training Registration
20483: Programming in C# Training/Class 4 May, 2020 - 8 May, 2020 $2090
HSG Training Center
Niagara-Falls, New York
Hartmann Software Group Training Registration
ASP.NET Core MVC Training/Class 27 July, 2020 - 28 July, 2020 $790
HSG Training Center
Niagara-Falls, New York
Hartmann Software Group Training Registration

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Viruses, trojans, and other malicious programs are everywhere. There's always a new threat to your computer's security, and many of these threats invade your computer without you even knowing. Most viruses aren't going to loudly announce themselves, so it's important to know the hidden ways in which your computer can become infected.


Infected Files from Other Computers

Whether you're borrowing someone's flash drive or grabbing a file from their computer, your computer can become infected if the file or device you're using already contains a virus, trojan, or other form of malware.

This is a very common issue, and you won't even know there's a problem most of the time. For example, if your computer is connected to other devices on a network, and you decide to pull an important file off of another computer on the network, your computer will become infected if the file you took has a virus attached to it.

Also, if you forgot your flash drive, and you need to use your friend or coworker's device for the day, then even plugging the device into your computer can cause the infection in the flash drive to be transmitted.


Downloading Legitimate Programs

Another way your computer can be secretly infected is when you download a legitimate program and run it. There are numerous legitimate programs on the internet that can help you in many ways. The programs themselves could be infected, though.

Also, one of the most common ways your computer can become infected is when you don't read the fine print before you download a program. Some of them may insist that you install another small program in addition to the one you initially chose. The boxes that you are supposed to click to give your consent may already be clicked.

This small extra program is the one that may carry an infection that will spread to your computer when you run the main program. You may get a lot of good use out of the legitimate program, but the virus attached to the extra hidden program can cause you a lot of trouble.


Using Vulnerable Applications

Security is a serious matter. If even one of the applications you use on your computer is vulnerable to becoming hacked or infected, then your entire computer is at risk and could become secretly infected. Anything from PDF viewing applications to your operating system can become infected if you don't download the latest security patches and keep everything up-to-date.


Not Using Antivirus Software

Antivirus software can protect your computer from a number of viruses, trojans, and other problems. Your computer can become infected in a number of ways, so you need to have good antivirus software to provide strong protection from hidden attacks.


Viruses, trojans, and other malware can infect your computer in a variety of hidden ways. To prevent infection and problems, you need to be careful about what you download, and you should keep your applications secure. Also, find reliable antivirus software to help.

 

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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.

Invoking an external command in Python is a two step process:

 

from subprocess import call
call(["ls","-1"])

 

I remember the day like it was yesterday. Pac Man had finally arrived on the Atari 2600.  It was a clear and sunny day, but it was slightly brisk. My dad drove us down to the video store about three miles from our Michigan house. If I remember correctly, the price for the game was $24.99.  It was quite expensive for the day, probably equaling a $70 game in today’s market, but it was mine. There *was* no question about it. If you purchase a game, it’s your game… right?

You couldn’t be more wrong.  With all the licensing agreements in games today, you only purchase the right to play it. You don’t actually “own” the game. 

Today, game designers want total control over the money that comes in for a game. They add in clauses that keep the game from being resold, rented, borrowed, copied, etc. All of the content in the game, including the items you find that are specifically for you, are owned by the software developer. Why, you ask, do they do this? It’s all about the money.

This need for greed started years ago, when people started modifying current games on the market. One of the first games like this was Doom. There were so many third part mods made, but because of licensing agreement, none of these versions were available for resale. The end user, or you, had to purchase Doom before they could even install the mod.  None of these “modders” were allowed to make any money off their creation.

Tech Life in New York

City The Big Apple is home of two of the world?s largest stock market exchanges, the New York Stock Exchange and NASDAQ. As a leading business center in the United States, New York has more Fortune 500 headquartered companies than any other city. Technology is blossoming in the Big Apple as major internet conglomerates like Google move their offices into ?telecom hotels? such as the 311,000 square feet office space downtown. As in any other city there are pros and cons of living in New York City. For instance, there is so much to do, it?s easy to get around with the transit system, it?s safe, convenient, and has plenty of job opportunities. On the other hand, it can be overwhelmingly expensive, overcrowded, a bit impersonal and fast paced. New Yorkers enjoy Central Park, multi cultural activities and food, theatre, film festivals, farmers markets, fashion and anything else they could possibly think of...it?s all there.
...You can't unlearn something, even if you want to. You know what you know. Sarah Dessen
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Software developers near Niagara Falls 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 New York that offer opportunities for C# Programming developers
Company Name City Industry Secondary Industry
NYSE Euronext, Inc. New York Financial Services Securities Agents and Brokers
Anderson Instrument Company Inc. Fultonville Manufacturing Tools, Hardware and Light Machinery
News Corporation New York Media and Entertainment Radio and Television Broadcasting
Philip Morris International Inc New York Manufacturing Manufacturing Other
Loews Corporation New York Travel, Recreation and Leisure Hotels, Motels and Lodging
The Guardian Life Insurance Company of America New York Financial Services Insurance and Risk Management
Jarden Corporation Rye Manufacturing Manufacturing Other
Ralph Lauren Corporation New York Retail Clothing and Shoes Stores
Icahn Enterprises, LP New York Financial Services Investment Banking and Venture Capital
Viacom Inc. New York Media and Entertainment Media and Entertainment Other
Omnicom Group Inc. New York Business Services Advertising, Marketing and PR
Henry Schein, Inc. Melville Healthcare, Pharmaceuticals and Biotech Medical Supplies and Equipment
Pfizer Incorporated New York Healthcare, Pharmaceuticals and Biotech Pharmaceuticals
Eastman Kodak Company Rochester Computers and Electronics Audio, Video and Photography
Assurant Inc. New York Business Services Data and Records Management
PepsiCo, Inc. Purchase Manufacturing Nonalcoholic Beverages
Foot Locker, Inc. New York Retail Department Stores
Barnes and Noble, Inc. New York Retail Sporting Goods, Hobby, Book, and Music Stores
Alcoa New York Manufacturing Metals Manufacturing
The Estee Lauder Companies Inc. New York Healthcare, Pharmaceuticals and Biotech Personal Health Care Products
Avon Products, Inc. New York Healthcare, Pharmaceuticals and Biotech Personal Health Care Products
The Bank of New York Mellon Corporation New York Financial Services Banks
Marsh and McLennan Companies New York Financial Services Insurance and Risk Management
Corning Incorporated Corning Manufacturing Concrete, Glass, and Building Materials
CBS Corporation New York Media and Entertainment Radio and Television Broadcasting
Bristol Myers Squibb Company New York Healthcare, Pharmaceuticals and Biotech Biotechnology
Citigroup Incorporated New York Financial Services Banks
Goldman Sachs New York Financial Services Personal Financial Planning and Private Banking
American International Group (AIG) New York Financial Services Insurance and Risk Management
Interpublic Group of Companies, Inc. New York Business Services Advertising, Marketing and PR
BlackRock, Inc. New York Financial Services Securities Agents and Brokers
MetLife Inc. New York Financial Services Insurance and Risk Management
Consolidated Edison Company Of New York, Inc. New York Energy and Utilities Gas and Electric Utilities
Time Warner Cable New York Telecommunications Cable Television Providers
Morgan Stanley New York Financial Services Investment Banking and Venture Capital
American Express Company New York Financial Services Credit Cards and Related Services
International Business Machines Corporation Armonk Computers and Electronics Computers, Parts and Repair
TIAA-CREF New York Financial Services Securities Agents and Brokers
JPMorgan Chase and Co. New York Financial Services Investment Banking and Venture Capital
The McGraw-Hill Companies, Inc. New York Media and Entertainment Newspapers, Books and Periodicals
L-3 Communications Inc. New York Manufacturing Aerospace and Defense
Colgate-Palmolive Company New York Consumer Services Personal Care
New York Life Insurance Company New York Financial Services Insurance and Risk Management
Time Warner Inc. New York Media and Entertainment Media and Entertainment Other
Cablevision Systems Corp. Bethpage Media and Entertainment Radio and Television Broadcasting
CA Technologies, Inc. Islandia Software and Internet Software
Verizon Communications Inc. New York Telecommunications Telephone Service Providers and Carriers
Hess Corporation New York Energy and Utilities Gasoline and Oil Refineries

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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 New York 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.