Google for Business Training Classes in Eau Claire, Wisconsin
Learn Google for Business in Eau Claire, Wisconsin 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 Google for Business related training offerings in Eau Claire, Wisconsin: Google for Business Training
Course Directory [training on all levels]
- .NET Classes
- Agile/Scrum Classes
- Ajax Classes
- Android and iPhone Programming Classes
- Blaze Advisor Classes
- C Programming Classes
- C# Programming Classes
- C++ Programming Classes
- Cisco Classes
- Cloud Classes
- CompTIA Classes
- Crystal Reports Classes
- Design Patterns Classes
- DevOps Classes
- Foundations of Web Design & Web Authoring Classes
- Git, Jira, Wicket, Gradle, Tableau Classes
- IBM Classes
- Java Programming Classes
- JBoss Administration Classes
- JUnit, TDD, CPTC, Web Penetration Classes
- Linux Unix Classes
- Machine Learning Classes
- Microsoft Classes
- Microsoft Development Classes
- Microsoft SQL Server Classes
- Microsoft Team Foundation Server Classes
- Microsoft Windows Server Classes
- Oracle, MySQL, Cassandra, Hadoop Database Classes
- Perl Programming Classes
- Python Programming Classes
- Ruby Programming Classes
- Security Classes
- SharePoint Classes
- SOA Classes
- Tcl, Awk, Bash, Shell Classes
- UML Classes
- VMWare Classes
- Web Development Classes
- Web Services Classes
- Weblogic Administration Classes
- XML Classes
- VMware vSphere 8.0 Boot Camp
8 April, 2024 - 12 April, 2024 - ASP.NET Core MVC, Rev. 6.0
22 April, 2024 - 23 April, 2024 - Enterprise Linux System Administration
10 June, 2024 - 14 June, 2024 - Docker
29 April, 2024 - 1 May, 2024 - Introduction to Python 3.x
29 April, 2024 - 2 May, 2024 - See our complete public course listing
Blog Entries publications that: entertain, make you think, offer insight
C# PROGRAMMING –MAIN DESIGN GOALS
C# is a popular programming language these days, and it was designed from inception to provide a simple, clean, general purpose programming language for those intending to work within the confines of Microsoft’s .NET framework. Since then, it has been approved as one of the standard languages by both ECMA and ISO, making C# programming an essential tool in every programmers’ kit.
Different languages have different uses and specialties, and C# was designed for programmers to be able to use it to create different components for use in software that would be deployed and distributed en masse, to live use environments. This means that designers had to really put an emphasis on making the actual source code extremely compatible and portable. Those already familiar with C or C++ should definitely notice this emphasis.
Another particular point of emphasis during design was focus on internationalization of the language; it was intended from inception to be available all over the world, and to see all sorts of different implementations based on variance in regional programming technique. The resultant use should help the language develop sophistication as it is refined throughout different versions.
To add to a python dictionary is very easy. First create a dictionary, and then associate a key with a value.
a = {'cat',"furry thing"}
a['dog']="typically likes to run and is very loyal"
print a
Here is what is printed:
{'cat':'furry thing', 'dog':'typically likes to run and is very loyal'}
The original article was posted by Michael Veksler on Quora
A very well known fact is that code is written once, but it is read many times. This means that a good developer, in any language, writes understandable code. Writing understandable code is not always easy, and takes practice. The difficult part, is that you read what you have just written and it makes perfect sense to you, but a year later you curse the idiot who wrote that code, without realizing it was you.
The best way to learn how to write readable code, is to collaborate with others. Other people will spot badly written code, faster than the author. There are plenty of open source projects, which you can start working on and learn from more experienced programmers.
Readability is a tricky thing, and involves several aspects:
- Never surprise the reader of your code, even if it will be you a year from now. For example, don’t call a function max() when sometimes it returns the minimum().
- Be consistent, and use the same conventions throughout your code. Not only the same naming conventions, and the same indentation, but also the same semantics. If, for example, most of your functions return a negative value for failure and a positive for success, then avoid writing functions that return false on failure.
- Write short functions, so that they fit your screen. I hate strict rules, since there are always exceptions, but from my experience you can almost always write functions short enough to fit your screen. Throughout my carrier I had only a few cases when writing short function was either impossible, or resulted in much worse code.
- Use descriptive names, unless this is one of those standard names, such as i or it in a loop. Don’t make the name too long, on one hand, but don’t make it cryptic on the other.
- Define function names by what they do, not by what they are used for or how they are implemented. If you name functions by what they do, then code will be much more readable, and much more reusable.
- Avoid global state as much as you can. Global variables, and sometimes attributes in an object, are difficult to reason about. It is difficult to understand why such global state changes, when it does, and requires a lot of debugging.
- As Donald Knuth wrote in one of his papers: “Early optimization is the root of all evil”. Meaning, write for readability first, optimize later.
- The opposite of the previous rule: if you have an alternative which has similar readability, but lower complexity, use it. Also, if you have a polynomial alternative to your exponential algorithm (when N > 10), you should use that.
Use standard library whenever it makes your code shorter; don’t implement everything yourself. External libraries are more problematic, and are both good and bad. With external libraries, such as boost, you can save a lot of work. You should really learn boost, with the added benefit that the c++ standard gets more and more form boost. The negative with boost is that it changes over time, and code that works today may break tomorrow. Also, if you try to combine a third-party library, which uses a specific version of boost, it may break with your current version of boost. This does not happen often, but it may.
Don’t blindly use C++ standard library without understanding what it does - learn it. You look at
documentation at it tells you that its complexity is O(1), amortized. What does that mean? How does it work? What are benefits and what are the costs? Same with std::vector::push_back()
, and with std::map
. Knowing the difference between these two maps, you’d know when to use each one of them.std::unordered_map
Never call
or new
directly, use delete
and [cost c++]std::make_shared[/code] instead. Try to implement std::make_unique
yourself, in order to understand what they actually do. People do dumb things with these types, since they don’t understand what these pointers are.usique_ptr, shared_ptr, weak_ptr
Every time you look at a new class or function, in boost or in std, ask yourself “why is it done this way and not another?”. It will help you understand trade-offs in software development, and will help you use the right tool for your job. Don’t be afraid to peek into the source of boost and the std, and try to understand how it works. It will not be easy, at first, but you will learn a lot.
Know what complexity is, and how to calculate it. Avoid exponential and cubic complexity, unless you know your N is very low, and will always stay low.
Learn data-structures and algorithms, and know them. Many people think that it is simply a wasted time, since all data-structures are implemented in standard libraries, but this is not as simple as that. By understanding data-structures, you’d find it easier to pick the right library. Also, believe it or now, after 25 years since I learned data-structures, I still use this knowledge. Half a year ago I had to implemented a hash table, since I needed fast serialization capability which the available libraries did not provide. Now I am writing some sort of interval-btree, since using std::map, for the same purpose, turned up to be very very slow, and the performance bottleneck of my code.
Notice that you can’t just find interval-btree on Wikipedia, or stack-overflow. The closest thing you can find is Interval tree, but it has some performance drawbacks. So how can you implement an interval-btree, unless you know what a btree is and what an interval-tree is? I strongly suggest, again, that you learn and remember data-structures.
These are the most important things, which will make you a better programmer. The other things will follow.
The iconic software company that is based in King County Washington has been getting almost universally slammed from it's recent Los Angeles press announcement about its entry into the hardware business with the convertible laptop/tablet known as Surface.
Certainly I can see the point that it is now competing with its hardware vendors/partners. Intel has done a good job in the arena creating 'reference designs' without competing with its partners.
There is another viewpoint which seems to be ignored. The cold facts are Microsoft is a public company. This puts Microsoft in a legal position of doing the most it can to return value to its shareholders. Failure to do so means somebody is going to jail.
Microsoft has a vision, which at the end of the day is, a certain way to get enough people to see enough value to hand over their money, to fulfill their fiduciary duty.
Tech Life in Wisconsin
Company Name | City | Industry | Secondary Industry |
---|---|---|---|
We Energies | Milwaukee | Energy and Utilities | Gas and Electric Utilities |
Bemis Company, Inc. | Neenah | Manufacturing | Plastics and Rubber Manufacturing |
Regal Beloit Corporation | Beloit | Manufacturing | Tools, Hardware and Light Machinery |
Manitowoc Company, Inc | Manitowoc | Manufacturing | Heavy Machinery |
Briggs and Stratton Corporation | Milwaukee | Manufacturing | Tools, Hardware and Light Machinery |
Mortgage Guaranty Insurance Corporation (MGIC) | Milwaukee | Financial Services | Lending and Mortgage |
A.O. Smith Corporation | Milwaukee | Manufacturing | Tools, Hardware and Light Machinery |
Sentry Insurance | Stevens Point | Financial Services | Insurance and Risk Management |
Rockwell Automation, Inc. | Milwaukee | Manufacturing | Tools, Hardware and Light Machinery |
Bucyrus International, Inc. | South Milwaukee | Manufacturing | Heavy Machinery |
Diversey, Inc. | Sturtevant | Manufacturing | Chemicals and Petrochemicals |
Alliant Energy Corporation | Madison | Energy and Utilities | Gas and Electric Utilities |
Plexus Corp. | Neenah | Manufacturing | Manufacturing Other |
Spectrum Brands Holdings, Inc. | Madison | Manufacturing | Tools, Hardware and Light Machinery |
Kohl's Corporation | Menomonee Falls | Retail | Department Stores |
Snap-on Tools, Inc. | Kenosha | Manufacturing | Tools, Hardware and Light Machinery |
Fiserv, Inc. | Brookfield | Software and Internet | Data Analytics, Management and Storage |
CUNA Mutual Group | Madison | Financial Services | Insurance and Risk Management |
Oshkosh Corporation | Oshkosh | Manufacturing | Heavy Machinery |
Modine Manufacturing Company | Racine | Manufacturing | Manufacturing Other |
Northwestern Mutual Life Insurance Company | Milwaukee | Financial Services | Insurance and Risk Management |
Joy Global Inc. | Milwaukee | Manufacturing | Heavy Machinery |
Harley-Davidson, Inc. | Milwaukee | Manufacturing | Automobiles, Boats and Motor Vehicles |
American Family Insurance | Madison | Financial Services | Insurance and Risk Management |
Johnson Controls, Inc. | Milwaukee | Manufacturing | Heavy Machinery |
ManpowerGroup | Milwaukee | Business Services | HR and Recruiting Services |
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 Wisconsin 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 Google for Business programming
- Get your questions answered by easy to follow, organized Google for Business experts
- Get up to speed with vital Google for Business 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…