XML Training Classes in Coon Rapids, Minnesota

Learn XML in Coon Rapids, Minnesota 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 XML related training offerings in Coon Rapids, Minnesota: XML Training

We offer private customized training for groups of 3 or more attendees.

XML Training Catalog

cost: $ 790length: 2 day(s)
cost: $ 1290length: 3 day(s)
cost: $ 1290length: 3 day(s)
cost: $ 1190length: 3 day(s)
cost: $ 1190length: 3 day(s)
cost: $ 2090length: 5 day(s)
cost: $ 790length: 2 day(s)
cost: $ 1590length: 4 day(s)
cost: $ 1290length: 3 day(s)
cost: $ 790length: 2 day(s)
cost: $ 390length: 1 day(s)
cost: $ 790length: 2 day(s)

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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.

In this tutorial we are going to take a look at how you work with strings in Python. Now, any language worth its salt will have a number of options for working with text and Python is probably one of the best to use when it comes to processing text.

If you are new to programming in general you may be wondering what a string is. In terms of programming, a string is classed as any sequence of characters you can type with your keyboard, and let’s face it, if you want your application to be of any use to yourself or other users then you need it to tell you what it’s doing or to prompt you for an action, and that is where strings come into play.

They are your applications way of communicating with the user. Without the ability to enter and display text or software would be pretty useless.

So, how would you create a string in Python? Take a look at the following code:

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.

Once again theTIOBE Programming Community has calculated the trends in popular programming languages on the web. Evaluating the updates in the index allows developers to assess the direction of certain programming skills that are rising or faltering in their field.  According to the November 2013 report, three out of four languages currently ranking in the top twenty are languages defined by Microsoft. These are C#, SQL Server language Transact-SQL and Visual Basic.NET.  Not surprising though, the top two languages that remain steady in the number one and two spots are Java and C.

How are the calculations measured?  The information is gathered from five major search engines: Google, Bing, Yahoo!, Wikipedia, Amazon, YouTube and Baidu.

Top 20 Programming Languages: as of November 2013


  1.  C
  2.  Java
  3.  Objective-C 
  4.  C++
  5.  C#
  6.  PHP
  7. (Visual) Basic
  8.  Python
  9. Transact-SQL
  10. Java Script
  11. Visual Basic.NET
  12. Perl
  13.  Ruby
  14. Pascal
  15. Lisp
  16. MATLAB
  17. Delphi/Object Pascal
  18. PL/SQL
  19. COBOL
  20. Assembly

Although the index is an important itemized guide of what people are searching for on the internet, it’s arguable that certain languages getting recognition is a direct result of early adopters posting tutorials and filling up discussion boards on current trends. Additionally, popular tech blogs pick up on technological shifts and broadcast related versions of the same themes.

When does the popularity of a software language matter?

  1. If you want marketable skills, knowing what employers are looking for is beneficial. As an example, languages such as Java and Objective C are highly coveted in the smart-phone apps businesses.
  2. A consistently shrinking language in usage is an indicator not only that employers are apt to pass on those skills but fall in danger of being obsolete.
  3. Focusing on languages that are compatible with other developers increases your chances to participate on projects that companies are working on.

Tech Life in Minnesota

Minnesota is one of the healthiest states, and has a highly rate of literacy. The state supports a network of public universities and colleges. It encompasses thirty two institutions in the Minnesota State Colleges and Universities System, as well as five major campuses of the University of Minnesota. According to U.S. News & World Report six of the private colleges rank among the nation's top 100 in liberal arts.
Simplicity before generality, use before reuse. Kevlin Henney
other Learning Options
Software developers near Coon Rapids 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 Minnesota that offer opportunities for XML developers
Company Name City Industry Secondary Industry
The Affluent Traveler Saint Paul Travel, Recreation and Leisure Travel, Recreation, and Leisure Other
Xcel Energy Inc. Minneapolis Energy and Utilities Gas and Electric Utilities
Thrivent Financial for Lutherans Minneapolis Financial Services Personal Financial Planning and Private Banking
CHS Inc. Inver Grove Heights Agriculture and Mining Agriculture and Mining Other
Hormel Foods Corporation Austin Manufacturing Food and Dairy Product Manufacturing and Packaging
St. Jude Medical, Inc. Saint Paul Healthcare, Pharmaceuticals and Biotech Medical Devices
The Mosaic Company Minneapolis Agriculture and Mining Mining and Quarrying
Ecolab Inc. Saint Paul Manufacturing Chemicals and Petrochemicals
Donaldson Company, Inc. Minneapolis Manufacturing Tools, Hardware and Light Machinery
Michael Foods, Inc. Minnetonka Manufacturing Food and Dairy Product Manufacturing and Packaging
Regis Corporation Minneapolis Retail Retail Other
Fastenal Company Winona Wholesale and Distribution Wholesale and Distribution Other
Securian Financial Saint Paul Financial Services Insurance and Risk Management
UnitedHealth Group Minnetonka Financial Services Insurance and Risk Management
The Travelers Companies, Inc. Saint Paul Financial Services Insurance and Risk Management
Imation Corp. Saint Paul Computers and Electronics Networking Equipment and Systems
C.H. Robinson Worldwide, Inc. Eden Prairie Transportation and Storage Warehousing and Storage
Ameriprise Financial, Inc. Minneapolis Financial Services Securities Agents and Brokers
Best Buy Co. Inc. Minneapolis Retail Retail Other
Nash Finch Company Minneapolis Wholesale and Distribution Grocery and Food Wholesalers
Medtronic, Inc. Minneapolis Healthcare, Pharmaceuticals and Biotech Medical Devices
LAND O'LAKES, INC. Saint Paul Manufacturing Food and Dairy Product Manufacturing and Packaging
General Mills, Inc. Minneapolis Manufacturing Food and Dairy Product Manufacturing and Packaging
Pentair, Inc. Minneapolis Manufacturing Manufacturing Other
Supervalu Inc. Eden Prairie Retail Grocery and Specialty Food Stores
U.S. Bancorp Minneapolis Financial Services Banks
Target Corporation, Inc. Minneapolis Retail Department Stores
3M Company Saint Paul Manufacturing Chemicals and Petrochemicals

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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 Minnesota 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 XML programming
  • Get your questions answered by easy to follow, organized XML experts
  • Get up to speed with vital XML 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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