Security Training Classes in Akron, Ohio
Learn Security in Akron, Ohio 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 Security related training offerings in Akron, Ohio: Security Training
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10 June, 2024 - 14 June, 2024 - Docker
22 July, 2024 - 24 July, 2024 - Introduction to Spring 5 (2022)
15 July, 2024 - 17 July, 2024 - Introduction to Python 3.x
22 July, 2024 - 25 July, 2024 - VMware vSphere 8.0 Boot Camp
10 June, 2024 - 14 June, 2024 - See our complete public course listing
Blog Entries publications that: entertain, make you think, offer insight
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
Sometimes we have to repeat ourselves before we are heard. Then again there are times where we have to perform a certain action the same way several times before we can carry on with what we want to do.
Repetition is the keyword here and for humans that is something we generally try to avoid. Yet our digital friends love repetition. They never get tired and they never get bored of doing the same thing over and over again countless times.
So it’s little wonder then that all modern programming languages give us various ways in which we can perform a certain action as many times as we need.
In python we have the for statement which gives us the power to loop over large collections of data very quickly and efficiently.
I suspect that many of you are familiar with the term "hard coding a value" whereby the age of an individual or their location is written into the condition (or action) of a business rule (in this case) as shown below:
if customer.age > 21 and customer.city == 'denver'
then ...
Such coding practices are perfectly expectable provided that the conditional values, age and city, never change. They become entirely unacceptable if a need for different values could be anticipated. A classic example of where this practice occurred that caused considerable heartache in the IT industry was the Y2K issue where dates were updated using only the last 2 digits of a four digit number because the first 2 digits were hard-coded to 19 i.e. 1998, 1999. All was well provided that the date did not advance to a time beyond the 1900’s since no one could be certain of what would happen when the millennia arrived (2000). A considerably amount of work (albeit boring) and money, approximately $200 billion, went into revising systems by way of software rewrites and computer chip replacements in order to thwart any detrimental outcomes. It is obvious how a simple change or an assumption can have sweeping consequences.
You may wonder what Y2K has to do with Business Rule Management Systems (BRMS). Well, what if we considered rules themselves to be hard-coded. If we were to write 100s of rules in Java, .NET or whatever language that only worked for a given scenario or assumption, would that not constitute hard-coded logic? By hard-coded, we obviously mean compiled. For example, if a credit card company has a variety of bonus campaigns, each with their own unique list of rules that may change within a week’s time, what would be the most effective way of writing software to deal with these responsibilities?
Invoking an external command in Python is a two step process:
from subprocess import call
call(["ls","-1"])
Tech Life in Ohio
Company Name | City | Industry | Secondary Industry |
---|---|---|---|
Nationwide Insurance Company | Columbus | Financial Services | Insurance and Risk Management |
Owens Corning | Toledo | Manufacturing | Concrete, Glass, and Building Materials |
FirstEnergy Corp | Akron | Energy and Utilities | Gas and Electric Utilities |
The Lubrizol Corporation | Wickliffe | Manufacturing | Chemicals and Petrochemicals |
Sherwin-Williams | Cleveland | Retail | Hardware and Building Material Dealers |
Key Bank | Cleveland | Financial Services | Banks |
TravelCenters of America, Inc. | Westlake | Retail | Gasoline Stations |
Dana Holding Company | Maumee | Manufacturing | Automobiles, Boats and Motor Vehicles |
O-I (Owens Illinois), Inc. | Perrysburg | Manufacturing | Concrete, Glass, and Building Materials |
Big Lots Stores, Inc. | Columbus | Retail | Department Stores |
Limited Brands, Inc. | Columbus | Retail | Clothing and Shoes Stores |
Cardinal Health | Dublin | Healthcare, Pharmaceuticals and Biotech | Healthcare, Pharmaceuticals, and Biotech Other |
Progressive Corporation | Cleveland | Financial Services | Insurance and Risk Management |
Parker Hannifin Corporation | Cleveland | Manufacturing | Manufacturing Other |
American Financial Group, Inc. | Cincinnati | Financial Services | Insurance and Risk Management |
American Electric Power Company, Inc | Columbus | Energy and Utilities | Gas and Electric Utilities |
Fifth Third Bancorp | Cincinnati | Financial Services | Banks |
Macy's, Inc. | Cincinnati | Retail | Department Stores |
Goodyear Tire and Rubber Co. | Akron | Manufacturing | Plastics and Rubber Manufacturing |
The Kroger Co. | Cincinnati | Retail | Grocery and Specialty Food Stores |
Omnicare, Inc. | Cincinnati | Healthcare, Pharmaceuticals and Biotech | Pharmaceuticals |
The Procter and Gamble Company | Cincinnati | Consumer Services | Personal Care |
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 Ohio 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 Security programming
- Get your questions answered by easy to follow, organized Security experts
- Get up to speed with vital Security 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…