Cisco Training Classes in Cedar Park, Texas

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F#, which is usually pronounced as F sharp is one of the newly launched and rapidly developing programming languages.  It has recently become focus of attention due to its quick advancement to the 12th position in the recent TIOBE index and the overall rise in popularity.

What is F#?

F# is an open source, functional and object oriented programming language which is available in cross platform. It was developed by a company called F# software foundation with help of Microsoft and other open contributors. F# runs on Linux, windows, iOS, Android and the GPUs and HTML as well. It is a mature programming language which helps the users as well as the organizations to solve the complex problems in a much simpler way with easy code. With its wide range of usage in the specialist and application areas, it is proving itself to be a worthy contender for the top 10 list.

Why choose F#?

For those newly moving into the realm of programming, the important question to mull over is what programming language or technology to specialize in. On the other hand, those who are already working as a software developer, the constant worry remains whether their current technology would become obsolete very soon.

Both these concerns could be easily addressed by checking the list of programming languages that are highly in demand and formulating the career by modifying your specialization accordingly. The supply for the developers have not met with the demand in these programming languages yet, making them most viable options for career.

Popular Programming Languages Based on TIOBE Index

The top 10 list of programming languages which are highly in demand in 2014 is listed below in the order of popularity. These languages are identified from the TIOBE Programming Community index which consists of 20 top programming languages. TIOBE index is an indicator of the popularity of programming languages and is updated once in every month.  This index is calculated using multiple search engines, and the ratings are based on the number of skilled engineers world-wide, courses and third party vendors.

I’ve been a technical recruiter for several years, let’s just say a long time.  I’ll never forget how my first deal went bad and the lesson I learned from that experience.  I was new to recruiting but had been a very good sales person in my previous position. I was about to place my first contractor on an assignment.  I thought everything was fine.  I nurtured and guided my candidate through the interview process with constant communication throughout.  The candidate was very responsive throughout the process.  From my initial contact with him, to the phone interview all went well and now he was completing his onsite interview with the hiring manager. 

Shortly thereafter, I received the call from the hiring manager that my candidate was the chosen one for the contract position, I was thrilled.  All my hard work had paid off.  I was going to be a success at this new game!  The entire office was thrilled for me, including my co-workers and my bosses.  I made a good win-win deal.  It was good pay for my candidate and a good margin for my recruiting firm. Everyone was happy. 

I left a voicemail message for my candidate so I could deliver the good news. He had agreed to call me immediately after the interview so I could get his assessment of how well it went.  Although, I heard from the hiring manager, there was no word from him.  While waiting for his call back, I received a call from a Mercedes dealership to verify his employment for a car he was trying to lease. Technically he wasn’t working for us as he had not signed the contract yet…. nor, had he discussed this topic with me.   I told the Mercedes office that I would get back to them.  Still not having heard back from the candidate, I left him another message and mentioned the call I just received.  Eventually he called back.  He wanted more money. 

I told him that would be impossible as he and I had previously agreed on his hourly rate and it was fine with him.  I asked him what had changed since that agreement.  He said he made had made much more money in doing the same thing when he lived in California.  I reminded him this is a less costly marketplace than where he was living in California.  I told him if he signed the deal I would be able to call the car dealership back and confirm that he was employed with us.  He agreed to sign the deal. 

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.

Tech Life in Texas

Austin may be considered the live music capital of the world but the field of technology is becoming the new norm in the The Lone Star State. Home to Dell and Compaq computers, there is a reason why central Texas is often referred to as the Silicon Valley of the south. It?s rated third on the charts of the top computer places in the United States with a social learning and training IT atmosphere. Adding the fact that Austin offers fairly inexpensive living costs for students, software developers may take note as they look to relocate.
Normal people believe that if it ain't broke, don't fix it. Engineers believe that if it ain't broke, it doesn't have enough features yet. Scott Adams
other Learning Options
Software developers near Cedar Park have ample opportunities to meet like minded techie individuals, collaborate and expend their career choices by participating in Meet-Up Groups. The following is a list of Technology Groups in the area.
Fortune 500 and 1000 companies in Texas that offer opportunities for Cisco developers
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

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the hartmann software group advantage
A successful career as a software developer or other IT professional requires a solid understanding of software development processes, design patterns, enterprise application architectures, web services, security, networking and much more. The progression from novice to expert can be a daunting endeavor; this is especially true when traversing the learning curve without expert guidance. A common experience is that too much time and money is wasted on a career plan or application due to misinformation.

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.
    1. We have provided software development and other IT related training to many major corporations in Texas since 2002.
    2. 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 Cisco programming
  • Get your questions answered by easy to follow, organized Cisco experts
  • Get up to speed with vital Cisco 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…
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