Linux Unix Training Classes in Hempstead, New York
Learn Linux Unix in Hempstead, 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 Linux Unix related training offerings in Hempstead, New York: Linux Unix Training
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22 July, 2024 - 25 July, 2024 - ASP.NET Core MVC, Rev. 6.0
19 August, 2024 - 20 August, 2024 - Object-Oriented Programming in C# Rev. 6.1
24 June, 2024 - 28 June, 2024 - RED HAT ENTERPRISE LINUX AUTOMATION WITH ANSIBLE
3 June, 2024 - 6 June, 2024 - Fast Track to Java 17 and OO Development
12 August, 2024 - 16 August, 2024 - See our complete public course listing
Blog Entries publications that: entertain, make you think, offer insight
Java still has its place in the world of software development, but is it quickly becoming obsolete by the more dynamically enabled Python programming language? The issue is hotly contested by both sides of the debate. Java experts point out that Java is still being developed with more programmer friendly updates. Python users swear that Java can take up to ten times longer to develop. Managers that need to make the best decision for a company need concrete information so that an informed and rational decision can be made.
First, Java is a static typed language while Python is dynamically typed. Static typed languages require that each variable name must be tied to both a type and an object. Dynamically typed languages only require that a variable name only gets bound to an object. Immediately, this puts Python ahead of the game in terms of productivity since a static typed language requires several elements and can make errors in coding more likely.
Python uses a concise language while Java uses verbose language. Concise language, as the name suggests, gets straight to the point without extra words. Removing additional syntax can greatly reduce the amount of time required to program. A simple call in Java, such as the ever notorious "Hello, World" requires three several lines of coding while Python requires a single sentence. Java requires the use of checked exceptions. If the exceptions are not caught or thrown out then the code fails to compile. In terms of language, Python certainly has surpassed Java in terms of brevity.
Additionally, while Java's string handling capabilities have improved they haven't yet matched the sophistication of Python's. Web applications rely upon fast load times and extraneous code can increase user wait time. Python optimizes code in ways that Java doesn't, and this can make Python a more efficient language. However, Java does run faster than Python and this can be a significant advantage for programmers using Java. When you factor in the need for a compiler for Java applications the speed factor cancels itself out leaving Python and Java at an impasse.
While a programmer will continue to argue for the language that makes it easiest based on the programmer's current level of knowledge, new software compiled with Python takes less time and provides a simplified coding language that reduces the chance for errors. When things go right, Java works well and there are no problems. However, when errors get introduced into the code, it can become extremely time consuming to locate and correct those errors. Python generally uses less code to begin with and makes it easier and more efficient to work with.
Ultimately, both languages have their own strengths and weaknesses. For creating simple applications, Python provides a simpler and more effective application. Larger applications can benefit from Java and the verbosity of the code actually makes it more compatible with future versions. Python code has been known to break with new releases. Ultimately, Python works best as a type of connecting language to conduct quick and dirty work that would be too intensive when using Java alone. In this sense, Java is a low-level implementation language. While both languages are continuing to develop, it's unlikely that one language will surpass the other for all programming needs in the near future.
Python and Ruby, each with roots going back into the 1990s, are two of the most popular interpreted programming languages today. Ruby is most widely known as the language in which the ubiquitous Ruby on Rails web application framework is written, but it also has legions of fans that use it for things that have nothing to do with the web. Python is a big hit in the numerical and scientific computing communities at the present time, rapidly displacing such longtime stalwarts as R when it comes to these applications. It too, however, is also put to a myriad of other uses, and the two languages probably vie for the title when it comes to how flexible their users find them.
A Matter of Personality...
That isn't to say that there aren't some major, immediately noticeable, differences between the two programming tongues. Ruby is famous for its flexibility and eagerness to please; it is seen by many as a cleaned-up continuation of Perl's "Do What I Mean" philosophy, whereby the interpreter does its best to figure out the meaning of evening non-canonical syntactic constructs. In fact, the language's creator, Yukihiro Matsumoto, chose his brainchild's name in homage to that earlier language's gemstone-inspired moniker.
Python, on the other hand, takes a very different tact. In a famous Python Enhancement Proposal called "The Zen of Python," longtime Pythonista Tim Peters declared it to be preferable that there should only be a single obvious way to do anything. Python enthusiasts and programmers, then, generally prize unanimity of style over syntactic flexibility compared to those who choose Ruby, and this shows in the code they create. Even Python's whitespace-sensitive parsing has a feel of lending clarity through syntactical enforcement that is very much at odds with the much fuzzier style of typical Ruby code.
For example, Python's much-admired list comprehension feature serves as the most obvious way to build up certain kinds of lists according to initial conditions:
a = [x**3 for x in range(10,20)]
b = [y for y in a if y % 2 == 0]
first builds up a list of the cubes of all of the numbers between 10 and 19 (yes, 19), assigning the result to 'a'. A second list of those elements in 'a' which are even is then stored in 'b'. One natural way to do this in Ruby is probably:
a = (10..19).map {|x| x ** 3}
b = a.select {|y| y.even?}
but there are a number of obvious alternatives, such as:
a = (10..19).collect do |x|
x ** 3
end
b = a.find_all do |y|
y % 2 == 0
end
It tends to be a little easier to come up with equally viable, but syntactically distinct, solutions in Ruby compared to Python, even for relatively simple tasks like the above. That is not to say that Ruby is a messy language, either; it is merely that it is somewhat freer and more forgiving than Python is, and many consider Python's relative purity in this regard a real advantage when it comes to writing clear, easily understandable code.
And Somewhat One of Performance
The consulting industry is fiercely competitive and nets between $130B and $150B a year. In fact, professional consultants earn more money than many lawyers, doctors and other professionals.
Offering free consultations is a common way for a software consultant to seize new accounts. But is there a red flag where a consultant may be giving away too many services for free? The worst scenario for a professional software consultant is to offer free services to the client and then never hear from them again once they no longer need their help.
Although having the best intentions, many people will waste a consultant's time (i.e., client ignores or rejects any suggested approaches or solutions given by the consultant and seek the services of someone who will do it cheaper or will attempt to do it themselves). Small business owners especially can be challenging to work with. Some clients have a tendency to jump into projects before having adequate resources to finish what they have started, decide to go in a different direction midstream, while others simply don't want to spend any money when getting professional services. It's hard to believe, but some clients actually expect to receive free services for life. To counteract this notion, a software consultant can draw the line by offering free services within a promotional time frame and then begin charging a fee for services rendered after that time.
A good indicator of what a client's true intentions are is to monitor their activity within a specified period to see if their consultation activity bears fruit in the form of a contract. One big red flag is non-commitment on the part of the client. If they seem indecisive or vague about what they want it may be time to move on. Although there are times when a free consultation results in a paying client years later, who can wait that long?
Less of Your Time is Wasted When You're Upfront
After being burned, some professional software consultants no longer give free consulting. They find that clients are much more willing to follow their advice when they have paid something. In order to close an account, a happy medium can be agreed upon by both parties involved as a way to build a long term relationship with highly qualified prospects.
A software consultant's work, knowledge, skills and time are valuable. They can offer a potential client general solutions instead of addressing specific challenges. If a specific topic of discussion, troubleshooting session or other issue needs to be addressed, the consultant can inform the client of any upfront costs to receive a particular service if they need further assistance. Really, a free software consultation (if one is given) should be presented in a very similar way someone would hand out samples of a product at a grocery store. A professional consultant ideally wants clients to see how they can benefit using their services on a trial basis with a pitch leading to more extensive services which would only be available if they sign a contract with their firm.
Red Flags
In Python, the following list is considered False:
False, None, 0, 0.0, "",'',(),{},[]
Tech Life in New York
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
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 New York 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 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…