SharePoint Training Classes in Kalamazoo, Michigan
Learn SharePoint in Kalamazoo, Michigan 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 SharePoint related training offerings in Kalamazoo, Michigan: SharePoint Training
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- Fast Track to Java 17 and OO Development
12 August, 2024 - 16 August, 2024 - Go Language Essentials
29 July, 2024 - 1 August, 2024 - Introduction to Spring 5 (2022)
15 July, 2024 - 17 July, 2024 - DOCKER WITH KUBERNETES ADMINISTRATION
6 May, 2024 - 10 May, 2024 - RED HAT SATELLITE V6 (FOREMAN/KATELLO) ADMINISTRATION
24 June, 2024 - 27 June, 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.
People are optimistic about problem solving, but in most cases this is easier said than done. How do you do it?
In Adobe’s 2016 global study on creativity in business, 96% of people identified creativity as essential to their success, both in terms of their income and the value they bring to the world. Moreover, 78% wished they were capable of thinking differently, believing that they would progress through their careers more quickly if they did.
According to Malcom Gladwell, the world's most successful people have one thing in common: they think differently from most everyone else. In his book, How Successful People Think, Malcom opens with the following: “Good thinkers are always in demand. A person who knows how may always have a job, but the person who knows why will always be his boss. Good thinkers solve problems, they never lack ideas that can build an organization, and they always have hope for a better future”
Too often we attribute creative and “different” thinking to natural, innate characteristics that belong only to the lucky. The truth is that you can study how ridiculously successful people think and incorporate their approach into your world.
Snippets and Quotes from Tech Innovators.
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
Python programming language is general purpose open source programming language. One of its main features is flexibility and ease of use. Python has a variety of useful set of utilities and libraries for data processing and analytical tasks. Currently due to the rise in demand of big data processing python has grown in popularity because its features are easy to use which are core to the processing of huge chunks of information.
Guido Van Rossum, the pioneer of python, introduced python in the year 1980 and then implemented it in 1989. The intention behind the development of python was to make it open source language that can also be used for commercial projects. The fundamental principle of python is to write the code that is easy to use, highly readable and embrace writing fewer lines of code for achieving a particular task. One of the most popular standard libraries which have ready to use tools for performing a various work is Python Package Index. It was introduced in January 2016 and contains more than 72,000 packages for third-party software usage.
Python plays a critical role in linking data to customers. Recently python has found few entry barriers and many people have had access to have experienced the power of python in the past. So, what makes python the best language for big data analytics?
One of the reasons to choose python is that python ecosystem is very vibrant, the ratings at Redmonk are a proof of the strength python community. The Redmonk ranking is based on StackOverflow discussions and contribution made in Github to determine the popularity of programming language on the method used by users to ask questions about Python and the number of the open source projects contributions.
Tech Life in Michigan
Company Name | City | Industry | Secondary Industry |
---|---|---|---|
Lear Corporation | Southfield | Manufacturing | Automobiles, Boats and Motor Vehicles |
TRW Automotive Holdings Corp. | Livonia | Manufacturing | Automobiles, Boats and Motor Vehicles |
Spartan Stores, Inc. | Byron Center | Retail | Grocery and Specialty Food Stores |
Steelcase Inc. | Grand Rapids | Manufacturing | Furniture Manufacturing |
Valassis Communications, Inc. | Livonia | Business Services | Advertising, Marketing and PR |
Autoliv, Inc. | Auburn Hills | Manufacturing | Automobiles, Boats and Motor Vehicles |
Cooper-Standard Automotive Group | Novi | Manufacturing | Automobiles, Boats and Motor Vehicles |
Penske Automotive Group, Inc. | Bloomfield Hills | Retail | Automobile Dealers |
Con-Way Inc. | Ann Arbor | Transportation and Storage | Freight Hauling (Rail and Truck) |
Meritor, Inc. | Troy | Manufacturing | Automobiles, Boats and Motor Vehicles |
Visteon Corporation | Van Buren Twp | Manufacturing | Automobiles, Boats and Motor Vehicles |
Affinia Group, Inc. | Ann Arbor | Manufacturing | Automobiles, Boats and Motor Vehicles |
Perrigo Company | Allegan | Healthcare, Pharmaceuticals and Biotech | Pharmaceuticals |
BorgWarner Inc. | Auburn Hills | Manufacturing | Automobiles, Boats and Motor Vehicles |
Auto-Owners Insurance | Lansing | Financial Services | Insurance and Risk Management |
DTE Energy Company | Detroit | Energy and Utilities | Gas and Electric Utilities |
Whirlpool Corporation | Benton Harbor | Manufacturing | Tools, Hardware and Light Machinery |
Herman Miller, Inc. | Zeeland | Manufacturing | Furniture Manufacturing |
Universal Forest Products | Grand Rapids | Manufacturing | Furniture Manufacturing |
Masco Corporation Inc. | Taylor | Manufacturing | Concrete, Glass, and Building Materials |
PULTEGROUP, INC. | Bloomfield Hills | Real Estate and Construction | Real Estate & Construction Other |
CMS Energy Corporation | Jackson | Energy and Utilities | Energy and Utilities Other |
Stryker Corporation | Portage | Healthcare, Pharmaceuticals and Biotech | Medical Devices |
General Motors Company (GM) | Detroit | Manufacturing | Automobiles, Boats and Motor Vehicles |
Kellogg Company | Battle Creek | Manufacturing | Food and Dairy Product Manufacturing and Packaging |
The Dow Chemical Company | Midland | Manufacturing | Chemicals and Petrochemicals |
Kelly Services, Inc. | Troy | Business Services | HR and Recruiting Services |
Ford Motor Company | Dearborn | Manufacturing | Automobiles, Boats and Motor Vehicles |
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 Michigan 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 SharePoint programming
- Get your questions answered by easy to follow, organized SharePoint experts
- Get up to speed with vital SharePoint 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…