Linux Unix Training Classes in Syracuse, New York

Hartmann Software Group Linux Training

Learn Linux Unix in Syracuse, NewYork and surrounding areas via our hands-on, expert led courses. All of our classes are offered on an onsite, online and public instructor led basis. Here is a list of our current Linux Unix related training offerings in Syracuse, New York: Linux Unix Training

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Syracuse  Upcoming Instructor Led Online and Public Linux Unix Training Classes
Developing Applications For Linux (LFD401) 22 July, 2019 - 25 July, 2019 $2600 Hartmann Software Group Training Registration
Developing Embedded Linux Device Drivers (LFD435) 26 August, 2019 - 29 August, 2019 $2600 Hartmann Software Group Training Registration
Developing Linux Device Drivers (LFD430) 29 July, 2019 - 1 August, 2019 $2600 Hartmann Software Group Training Registration
Open Source Virtualization (LFS462) 29 July, 2019 - 1 August, 2019 $2400 Hartmann Software Group Training Registration

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Linux Unix Training Catalog

cost: $ 1090length: 3 day(s)

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In Python, we can create three types of methods in a class:  instance or regular method, classmethod and staticmethod.  Instance methods are associated, as the name infers, with an instance or object of the class and take self as the first parameter.  Classmethods take a reference to the class, cls, as the first parameter of the class.  Staticmethods, for the most part, are convenience methods that could be declared as functions since they really do not have much to do with the class itself.  They were probably added at some time after the advent of Python in order to make the language more object oriented i.e. minimize the number of free floating functions. 

Refer the our article static, class and regular methods in Python for a detailed explanation on this subject.

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.

Google is one of the most popular websites in the entire world that gets millions of views each day. Therefore, it should come as no surprise that it needs a strong and reliable programming language that it can rely on to run its searches and many of the apps that Google has created. Because of this, Google uses Python to ensure that every time a user uses one of their products, it will work smoothly and flawlessly. That being said, Google uses Python in a variety of different ways, outlined below.

Code.Google.Com
Since its creation, Google has always used Python as part of its core for programming language. This can still be seen today considering the strong relationship the two have with one another. Google supports and sponsors various Python events, and Python works to better itself so that Google remains on top of cutting edge material. One way that they do this is by working with code.google.com. This is the place where Google developers go to code, learn to code and test programs. And with it being built on Python, users can experience exactly what it is that they should expect once they start using the real site.

Google AdWords
Google AdWords is a great way for people to get their websites out there, through the use of advertising. Each time a person types in a certain string of keywords, or if they have history in their cookies, then they’ll come across these AdWords. The way that these AdWords are broadcasted to online web surfers is built on the foundation from Python. Python also helps clients access their AdWord accounts, so that they can tailor where they want their advertisements to go.

Beets
If you have loads of music, but some of it is uncategorized or sitting in a music player without a name or title, Beets is for you. This Google project uses Python and a music database to help arrange and organize music. The best part about Beets is that even if it doesn’t run exactly the way that you want, you can use a bit of Python knowledge to tailor it to be more specific to your desires.

Android-Scripting
Not only does Google run off Python, but Android also has its own value for the language. Whether you are someone who is just creating your own app for your phone or if you are someone who is looking to create the next app that gets downloaded multiple millions of times, you can use Python and Android-Scripting to create an app that does exactly what you want it to do.

YouTube
YouTube one just started as a video viewer on its own, but is now a billion-dollar company that is owned by Google. YouTube uses Python to let users view and upload video, share links, embed video and much more. Much like Google itself, YouTube relies heavily on Python to run seamlessly for the amount of traffic it gets daily.

Python is not your average coding language. Instead, it is a valuable and integral part of some of the biggest websites in the world, one of which is Google. And the resources listed here are just a fraction of what Google uses Python for in total.

 

Related:

What Are The 10 Most Famous Software Programs Written in Python?

The Future of Java and Python

Ranking Programming Languages: Which are Gaining Popularity?

Top 10 Software Skills for 2014 and Beyond

Working With Strings In Python

Working With Lists In Python

Conditional Programming In Python

  1. The IRS is enabling taxpayers to download their tax transcripts over the internet from the Internal Revenue Service. The official secure URL for the transcripts download followed immediately after The White House fact sheet confirmed the decision. According to the Tech Crunch You Can Now Download Your Tax Returns From The IRS  article, there are some minor bug issues when registering. Given that security has long been problematic with the IRS, the best course of action for the public is to take some precautions when downloading personal information on mobile devices, pc’s and laptops. Installing disk encryption software on all your devices will protect your files reduce risk
  2. Have an awesome Start-Up with products in ‘stealth or private beta” that you want like to pitch for a chance to get a table at Disrupt NY? TechCrunch is heading to Atlanta and New Orleans February 18th and 20th 2014 and will host a beer fest night in exchange for your thoughts and pitches. Tickets are $5, and all entrepreneurs, investors, dreamers or tech enthusiast are welcome.
  3. Cloutex, a cloud computing future enabler has just secured their first round of seed funding.  Cloutex is an Estonian tech startup, which connects and syncs various web applications such as e-marketing, CRM and accounting tools under one convenient hub. The United Partners, SmartCap and EstBan business angels seeded the start-up with $6000, 000.
  4. Could you get everything important that you need to know about living successfully from a computer program? Ryan Dube seems to think so. In his 6 Life Habits That Programming Could Teach You Today  he speaks in flow charts, loops and program modules, in the same breath as paying off debt or buying a house.  How can your programming skills help in life skills by modeling some of the same principles?
  5. 10 Incredibly Simple Things You Can Do To Protect Your PrivacyPassword protect your devices.  Put alerts on your name in Google; simple tasks that can be significant in protecting your privacy.
  6. Adobe Brings 3D Printing Support to PhotoshopAmong the latest updates in Adobe, Photoshop users have the ability to design 3D models from scratch as well as being able to toy around with color, shape and angles.

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.
Never discourage anyone?who continually makes progress, no matter how slow.  ~Plato
other Learning Options
Software developers near Syracuse 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 Linux Unix 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

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 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 Linux Unix programming
  • Get your questions answered by easy to follow, organized Linux Unix experts
  • Get up to speed with vital Linux Unix 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.