Git, Jira, Wicket, Gradle, Tableau Training Classes in Passaic, New Jersey
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Blog Entries publications that: entertain, make you think, offer insight
A whole new world was thrown wide open with the advent of the concept of open source. The biggest advantage of open source projects is the easy availability of the source code and also the rights to tweak it or modify the code as we deem fit.
Listed below are some top open source projects that are making waves with their innovative ideas at this moment.
ProjectLibre
Project Libre is the open source replacement of Microsoft Project. It was one among the top 10 open source projects of 2013. With over 6 million downloads; it has most certainly captured the imagination of people around the world. Details of project Libre could be found at http://www.projectlibre.org/ . Project Libre has separate release for mainframes. It also has a web based version which further increases its overall appeal. One of the main advantages is that it has a list of tasks that can be tracked to closure. It can also be used in conjunction with LibreOffice to provide a great set of tools to the team leaders.
Diaspora
Once again Java tops C as the number one sought after programming language on the internet. According TIOBE Programming Community Index for February 2013 and five search engines: Google, Bing, Yahoo!, Wikipedia, Amazon, YouTube and Baidu, Java regained its position after being bumped by C in May 2012.
Despite the recent urging by the U.S. Department of Homeland Security of computer users to disable or uninstall Java due to a flaw in Runtime Environment (JRE) 7, Java, has increased its market share of all languages by (+2.03%) in the past six months. The jump in Java’s popularity does not come as a surprise as the Android OS claims massive success in the mobile space. The top twelve programming languages listed in the index are:
- Java
- C
- Objective-C
- C++
- C#
- PHP
- Python
- (Visual) Basic
- Perl
- Ruby
- Java Script
- Visual Basic.NET
Also rising, Python and PHP which are competing to becoming the most popular interpreted language.
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.
Checking to see if a directory exists and then creating it if it is not present requires a few lines of code. Isn't Python great. Begin by importing the os module and use the exists and makedirs functions.
import os
if os.path.exists(somedirectory):
os.makedirs(somedirectory)
Tech Life in New Jersey
Company Name | City | Industry | Secondary Industry |
---|---|---|---|
HCB, Inc. | Paramus | Retail | Office Supplies Stores |
Wyndham Worldwide Corp. | Parsippany | Travel, Recreation and Leisure | Hotels, Motels and Lodging |
Realogy Corporation | Parsippany | Real Estate and Construction | Real Estate Agents and Appraisers |
Church and Dwight Co., Inc. | Trenton | Manufacturing | Manufacturing Other |
Curtiss-Wright Corporation | Parsippany | Manufacturing | Aerospace and Defense |
American Water | Voorhees | Energy and Utilities | Water Treatment and Utilities |
Cognizant Technology Solutions Corp. | Teaneck | Computers and Electronics | IT and Network Services and Support |
The Great Atlantic and Pacific Tea Co. - AandP | Montvale | Retail | Grocery and Specialty Food Stores |
COVANCE INC. | Princeton | Healthcare, Pharmaceuticals and Biotech | Pharmaceuticals |
K. Hovnanian Companies, LLC. | Red Bank | Real Estate and Construction | Architecture,Engineering and Design |
Burlington Coat Factory Corporation | Burlington | Retail | Clothing and Shoes Stores |
GAF Materials Corporation | Wayne | Manufacturing | Concrete, Glass, and Building Materials |
Pinnacle Foods Group LLC | Parsippany | Manufacturing | Food and Dairy Product Manufacturing and Packaging |
Actavis, Inc | Parsippany | Healthcare, Pharmaceuticals and Biotech | Pharmaceuticals |
Hudson City Savings Bank | Paramus | Financial Services | Banks |
Celgene Corporation | Summit | Healthcare, Pharmaceuticals and Biotech | Biotechnology |
Cytec Industries Inc. | Woodland Park | Manufacturing | Chemicals and Petrochemicals |
Campbell Soup Company | Camden | Manufacturing | Food and Dairy Product Manufacturing and Packaging |
Covanta Holding Corporation | Morristown | Energy and Utilities | Energy and Utilities Other |
New Jersey Resources Corporation | Wall Township | Energy and Utilities | Gas and Electric Utilities |
Quest Diagnostics Incorporated | Madison | Healthcare, Pharmaceuticals and Biotech | Diagnostic Laboratories |
Rockwood Holdings Inc. | Princeton | Manufacturing | Chemicals and Petrochemicals |
Heartland Payment Systems, Incorporated | Princeton | Financial Services | Credit Cards and Related Services |
IDT Corporation | Newark | Telecommunications | Wireless and Mobile |
John Wiley and Sons, Inc | Hoboken | Media and Entertainment | Newspapers, Books and Periodicals |
Bed Bath and Beyond | Union | Retail | Retail Other |
The Children's Place Retail Stores, Inc. | Secaucus | Retail | Clothing and Shoes Stores |
Hertz Corporation | Park Ridge | Travel, Recreation and Leisure | Rental Cars |
Public Service Enterprise Group Incorporated | Newark | Energy and Utilities | Gas and Electric Utilities |
Selective Insurance Group, Incorporated | Branchville | Financial Services | Insurance and Risk Management |
Avis Budget Group, Inc. | Parsippany | Travel, Recreation and Leisure | Rental Cars |
Prudential Financial, Incorporated | Newark | Financial Services | Insurance and Risk Management |
Merck and Co., Inc. | Whitehouse Station | Healthcare, Pharmaceuticals and Biotech | Pharmaceuticals |
Honeywell International Inc. | Morristown | Manufacturing | Aerospace and Defense |
C. R. Bard, Incorporated | New Providence | Healthcare, Pharmaceuticals and Biotech | Medical Supplies and Equipment |
Sealed Air Corporation | Elmwood Park | Manufacturing | Plastics and Rubber Manufacturing |
The Dun and Bradstreet Corp. | Short Hills | Business Services | Data and Records Management |
The Chubb Corporation | Warren | Financial Services | Insurance and Risk Management |
Catalent Pharma Solutions Inc | Somerset | Healthcare, Pharmaceuticals and Biotech | Healthcare, Pharmaceuticals, and Biotech Other |
Becton, Dickinson and Company | Franklin Lakes | Healthcare, Pharmaceuticals and Biotech | Medical Supplies and Equipment |
NRG Energy, Incorporated | Princeton | Energy and Utilities | Gas and Electric Utilities |
TOYS R US, INC. | Wayne | Retail | Department Stores |
Johnson and Johnson | New Brunswick | Healthcare, Pharmaceuticals and Biotech | Pharmaceuticals |
Automatic Data Processing, Incorporated (ADP) | Roseland | 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 New Jersey 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 Git, Jira, Wicket, Gradle, Tableau programming
- Get your questions answered by easy to follow, organized Git, Jira, Wicket, Gradle, Tableau experts
- Get up to speed with vital Git, Jira, Wicket, Gradle, Tableau 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…