Java Programming Training Classes in Port Arthur, Texas
Training Suggestions from the Experts

An Experienced Java developer must know
... everything or so it can seem. A solid grasp and knowledge of Object Oriented Programming constructs such as inheritance, polymorphism, interfaces and reflection are essential. Next in line is the knowldge to be able to import/export file data, running SQL queries, using regular expressions and, possibly, knowing how to write multi-threaded code and make socket connections. A class that addresses most of these topics is: Fast Track to Java 11 and OO Development.
For the more daring Java enthusiast and especially for those looking to become professional Java developers, knowledge of the Spring Framework is expected. A perfect class for this is: Fast Track to Spring Framework and Spring MVC/Rest. Not only does this course provide students with a great introduction to spring, it goes beyond the basics with a solid delve into Spring and web development.
Another consideration is learning JBoss aka Wildfly, the free Application Server from RedHat. JBoss has become the workhorse of most Java EE applications. Add to that a class on Tomcat, the defacto servlet engine, and the student can be considered 'ready' for employment.
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Learn Java Programming in Port Arthur, Texas 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 Java Programming related training offerings in Port Arthur, Texas: Java Programming Training
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7 July, 2025 - 8 July, 2025 - RED HAT ENTERPRISE LINUX AUTOMATION WITH ANSIBLE
21 April, 2025 - 24 April, 2025 - Object Oriented Analysis and Design Using UML
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28 April, 2025 - 30 April, 2025 - RHCSA EXAM PREP
16 June, 2025 - 20 June, 2025 - See our complete public course listing
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If you're someone who's interested in computer programming, chances are you've considered pursuing a career in it. However, being a computer programmer is definitely not for everyone, as it takes some special characteristics to succeed as a computer programmer.
Good at Math
While you don't have to be a math genius in order to be a good computer programmer, being good at math really does help. In general, as long as you know your trigonometry and advanced high school algebra, you should be set for programming.
However, in a few instances, knowledge of more advanced math ends up being necessary. For example, for shader programming, you should be familiar with integration of multiple variables, matrix algebra, and basic differentiation. You will also require considerable math skills in order to program 3D.
Excellent Problem Solver
To be a successful computer programmer, you definitely need to be an excellent problem solver. It is vital for a computer programmer to break a problem down into small parts. They must then be able to decide the best way to approach individual pieces of the problem. Computer programmers also need to know how to anticipate and prevent potential problems. While problem-solving, they also need to keep in mind things like user experience and performance.
If you're not a good problem solver, knowing a particular language and syntax will be useless if you can't even identify the problem at hand. Therefore, excellent problem solving skills are a critical foundation for computer programming.
Patience
If you are not a patient person, you will quickly become very frustrated with computer programming. Problem-solving is not always easy and fast. In fact, it may take a very long time, especially if you're either inexperienced or working on an especially hard project.
Debugging after the coding process is also very frustrating and tedious. No matter how hard you try, you will always have bugs in your coding, and these bugs, while often easy to fix, tend to be very difficult to detect. Therefore, you will end up spending a lot of your time searching for bugs that take very little time to fix.
Well-Rounded Skills
Generally, computer programmers who are very skilled in one area tend to stick around longer than jack-of-all-trades, as specialized programmers are harder to replace with outsourcing than general programmers. Therefore, it will do you well to specialize in one area of computer programming.
However, while specializing is good, you should still know at least a little about everything, especially skills that relate to the area you specialize in. For example, if you're a core Java programmer, you should know about SQL programming and ideally a scripting language or some regular expressions.
As you can see, not everyone has what it takes to pursue computer programming as a career and succeed at it. In fact, just because you love to program doesn't mean it's a good career choice for you. However, if you feel that you possess all the characteristics listed above, then you should definitely consider computer programming as a career.
Machine learning systems are equipped with artificial intelligence engines that provide these systems with the capability of learning by themselves without having to write programs to do so. They adjust and change programs as a result of being exposed to big data sets. The process of doing so is similar to the data mining concept where the data set is searched for patterns. The difference is in how those patterns are used. Data mining's purpose is to enhance human comprehension and understanding. Machine learning's algorithms purpose is to adjust some program's action without human supervision, learning from past searches and also continuously forward as it's exposed to new data.
The News Feed service in Facebook is an example, automatically personalizing a user's feed from his interaction with his or her friend's posts. The "machine" uses statistical and predictive analysis that identify interaction patterns (skipped, like, read, comment) and uses the results to adjust the News Feed output continuously without human intervention.
Impact on Existing and Emerging Markets
The NBA is using machine analytics created by a California-based startup to create predictive models that allow coaches to better discern a player's ability. Fed with many seasons of data, the machine can make predictions of a player's abilities. Players can have good days and bad days, get sick or lose motivation, but over time a good player will be good and a bad player can be spotted. By examining big data sets of individual performance over many seasons, the machine develops predictive models that feed into the coach’s decision-making process when faced with certain teams or particular situations.
General Electric, who has been around for 119 years is spending millions of dollars in artificial intelligence learning systems. Its many years of data from oil exploration and jet engine research is being fed to an IBM-developed system to reduce maintenance costs, optimize performance and anticipate breakdowns.
Over a dozen banks in Europe replaced their human-based statistical modeling processes with machines. The new engines create recommendations for low-profit customers such as retail clients, small and medium-sized companies. The lower-cost, faster results approach allows the bank to create micro-target models for forecasting service cancellations and loan defaults and then how to act under those potential situations. As a result of these new models and inputs into decision making some banks have experienced new product sales increases of 10 percent, lower capital expenses and increased collections by 20 percent.
Emerging markets and industries
By now we have seen how cell phones and emerging and developing economies go together. This relationship has generated big data sets that hold information about behaviors and mobility patterns. Machine learning examines and analyzes the data to extract information in usage patterns for these new and little understood emergent economies. Both private and public policymakers can use this information to assess technology-based programs proposed by public officials and technology companies can use it to focus on developing personalized services and investment decisions.
Machine learning service providers targeting emerging economies in this example focus on evaluating demographic and socio-economic indicators and its impact on the way people use mobile technologies. The socioeconomic status of an individual or a population can be used to understand its access and expectations on education, housing, health and vital utilities such as water and electricity. Predictive models can then be created around customer's purchasing power and marketing campaigns created to offer new products. Instead of relying exclusively on phone interviews, focus groups or other kinds of person-to-person interactions, auto-learning algorithms can also be applied to the huge amounts of data collected by other entities such as Google and Facebook.
A warning
Traditional industries trying to profit from emerging markets will see a slowdown unless they adapt to new competitive forces unleashed in part by new technologies such as artificial intelligence that offer unprecedented capabilities at a lower entry and support cost than before. But small high-tech based companies are introducing new flexible, adaptable business models more suitable to new high-risk markets. Digital platforms rely on algorithms to host at a low cost and with quality services thousands of small and mid-size enterprises in countries such as China, India, Central America and Asia. These collaborations based on new technologies and tools gives the emerging market enterprises the reach and resources needed to challenge traditional business model companies.
Back in the late 90's, there were a number of computer scienctists claiming to know java in hopes of landing a job for $80k+/year. In fact, I know a woman you did just that: land a project management position with a large telecom and have no experience whatsoever. I guess the company figured that some talent was better than no talent and that, with some time and training, she would be productive. Like all gravey train stories, that one, too, had an end. After only a year, she was given a pink slip.
Not only are those days over, job prospects for the IT professional have become considerably more demanding. Saying you know java today is like saying you know that you have expertise with the computer mouse; that's nice, but what else can you do. This demand can be attributed to an increase in global competition along with the introduction of a number of varied technologies. Take .NET, Python, Ruby, Spring, Hibernate ... as an example; most of them, along with many others, are the backbone of the IT infrastructure of most mid-to-large scale US corporations. Imagine the difficulty in finding the right mix of experience, knowledge and talent to support, maintain and devlop with such desparate technologies.
Well imagine no more. According to the IT Hiring Index and Skills Report, seventy percent of CIO’s said it's challenging to find skilled professionals today. If we add the rapid rate of technological innovation into the mix of factors affecting more businesses now than ever before, it’s understandable that the skill gap is widening. Consider this as well: the economic downturn has forced many potential retires to remain in the workforce. This is detailed in MetLife's annual Study of Employee Benefits which states that“more than one-third of surveyed Baby Boomers (35%) say that as a result of economic conditions they plan to postpone their retirement.” How then does the corporation hire new, more informed/better educated talent? Indeed, the IT skills gap is ever widening.
In order to compensate for these skill discrepencies, many firms have resorted to hire the ideal candidates by demanding they possess a christmas wish list of expertise in a variety of different IT disciplines. It would not be uncommon that such individuals have a strong programming background and are brilliant DBA's. What about training? That is certainly a way to diminish the skills gap.
Recently, the new iOS update had added Reminders to the iPhone. If you ever found yourself setting notes on your iPhone to remember to do things, such as buying milk while at the grocery store, this process has become leagues upon leagues simpler, and faster. On your iPhone is an application named “Reminders”. Tap on this application and experience the new world of To-Do lists.
Right away, you are greeted by a screen that looks similar to a notepad, where you would be scribbling down reminders for this, and for that. To start off, tap on the plus button, and you are able to input the reminder you want. Say you want to be reminded to “Buy Milk.” Just type that into the application and you’re good to go.
But wait, there’s more. What this new application brings to the table that is extremely useful is the fact that your iPhone can remind you to do that task at a certain location, which, in this case, is buying milk. If you had saved your regular grocery store in your Maps application as a favorite location, you are able to do so. (To save a favorite location, go into your Maps application, search for your nearest grocery store that you regularly shop at, tap on the pin, tap on the blue arrow to get more information, and “Add to Bookmarks.”) In order to remind you to buy milk at your favorite grocery store, slide the “Off” to “On” and you are now able to set where you would like to be reminded at, and at what point in time. Now, you will never leave the grocery store without buying milk!
Tech Life in Texas
Company Name | City | Industry | Secondary Industry |
---|---|---|---|
Dr Pepper Snapple Group | Plano | Manufacturing | Nonalcoholic Beverages |
Western Refining, Inc. | El Paso | Energy and Utilities | Gasoline and Oil Refineries |
Frontier Oil Corporation | Dallas | Manufacturing | Chemicals and Petrochemicals |
ConocoPhillips | Houston | Energy and Utilities | Gasoline and Oil Refineries |
Dell Inc | Round Rock | Computers and Electronics | Computers, Parts and Repair |
Enbridge Energy Partners, L.P. | Houston | Transportation and Storage | Transportation & Storage Other |
GameStop Corp. | Grapevine | Retail | Retail Other |
Fluor Corporation | Irving | Business Services | Management Consulting |
Kimberly-Clark Corporation | Irving | Manufacturing | Paper and Paper Products |
Exxon Mobil Corporation | Irving | Energy and Utilities | Gasoline and Oil Refineries |
Plains All American Pipeline, L.P. | Houston | Energy and Utilities | Gasoline and Oil Refineries |
Cameron International Corporation | Houston | Energy and Utilities | Energy and Utilities Other |
Celanese Corporation | Irving | Manufacturing | Chemicals and Petrochemicals |
HollyFrontier Corporation | Dallas | Energy and Utilities | Gasoline and Oil Refineries |
Kinder Morgan, Inc. | Houston | Energy and Utilities | Gas and Electric Utilities |
Marathon Oil Corporation | Houston | Energy and Utilities | Gasoline and Oil Refineries |
United Services Automobile Association | San Antonio | Financial Services | Personal Financial Planning and Private Banking |
J. C. Penney Company, Inc. | Plano | Retail | Department Stores |
Energy Transfer Partners, L.P. | Dallas | Energy and Utilities | Energy and Utilities Other |
Atmos Energy Corporation | Dallas | Energy and Utilities | Alternative Energy Sources |
National Oilwell Varco Inc. | Houston | Manufacturing | Manufacturing Other |
Tesoro Corporation | San Antonio | Manufacturing | Chemicals and Petrochemicals |
Halliburton Company | Houston | Energy and Utilities | Energy and Utilities Other |
Flowserve Corporation | Irving | Manufacturing | Tools, Hardware and Light Machinery |
Commercial Metals Company | Irving | Manufacturing | Metals Manufacturing |
EOG Resources, Inc. | Houston | Energy and Utilities | Gasoline and Oil Refineries |
Whole Foods Market, Inc. | Austin | Retail | Grocery and Specialty Food Stores |
Waste Management, Inc. | Houston | Energy and Utilities | Waste Management and Recycling |
CenterPoint Energy, Inc. | Houston | Energy and Utilities | Gas and Electric Utilities |
Valero Energy Corporation | San Antonio | Manufacturing | Chemicals and Petrochemicals |
FMC Technologies, Inc. | Houston | Energy and Utilities | Alternative Energy Sources |
Calpine Corporation | Houston | Energy and Utilities | Gas and Electric Utilities |
Texas Instruments Incorporated | Dallas | Computers and Electronics | Semiconductor and Microchip Manufacturing |
SYSCO Corporation | Houston | Wholesale and Distribution | Grocery and Food Wholesalers |
BNSF Railway Company | Fort Worth | Transportation and Storage | Freight Hauling (Rail and Truck) |
Affiliated Computer Services, Incorporated (ACS), a Xerox Company | Dallas | Software and Internet | E-commerce and Internet Businesses |
Tenet Healthcare Corporation | Dallas | Healthcare, Pharmaceuticals and Biotech | Hospitals |
XTO Energy Inc. | Fort Worth | Energy and Utilities | Gasoline and Oil Refineries |
Group 1 Automotive | Houston | Retail | Automobile Dealers |
ATandT | Dallas | Telecommunications | Telephone Service Providers and Carriers |
Anadarko Petroleum Corporation | Spring | Energy and Utilities | Gasoline and Oil Refineries |
Apache Corporation | Houston | Energy and Utilities | Gasoline and Oil Refineries |
Dean Foods Company | Dallas | Manufacturing | Food and Dairy Product Manufacturing and Packaging |
American Airlines | Fort Worth | Travel, Recreation and Leisure | Passenger Airlines |
Baker Hughes Incorporated | Houston | Energy and Utilities | Gasoline and Oil Refineries |
Continental Airlines, Inc. | Houston | Travel, Recreation and Leisure | Passenger Airlines |
RadioShack Corporation | Fort Worth | Computers and Electronics | Consumer Electronics, Parts and Repair |
KBR, Inc. | Houston | Government | International Bodies and Organizations |
Spectra Energy Partners, L.P. | Houston | Energy and Utilities | Gas and Electric Utilities |
Energy Future Holdings | Dallas | Energy and Utilities | Energy and Utilities Other |
Southwest Airlines Corporation | Dallas | Transportation and Storage | Air Couriers and Cargo 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 Texas 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 Java Programming programming
- Get your questions answered by easy to follow, organized Java Programming experts
- Get up to speed with vital Java Programming 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…