Linux Unix Training Classes in Jefferson City, Missouri

Hartmann Software Group Linux Training

Learn Linux Unix in Jefferson City, Missouri and surrounding areas via our hands-on, expert led courses. All of our classes are offered on an onsite, online and public instructor led basis. Here is a list of our current Linux Unix related training offerings in Jefferson City, Missouri: Linux Unix Training

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Jefferson-City  Upcoming Instructor Led Online and Public Linux Unix Training Classes
Developing Applications For Linux (LFD401) 1 April, 2019 - 4 April, 2019 $2600 Hartmann Software Group Training Registration
Developing Embedded Linux Device Drivers (LFD435) 8 April, 2019 - 11 April, 2019 $2600 Hartmann Software Group Training Registration
Developing Linux Device Drivers (LFD430) 29 April, 2019 - 2 May, 2019 $2600 Hartmann Software Group Training Registration
Linux Kernel Internals and Development (LFD420) 25 March, 2019 - 28 March, 2019 $2600 Hartmann Software Group Training Registration
Linux Performance Tuning (LFS426) 29 April, 2019 - 2 May, 2019 $2600 Hartmann Software Group Training Registration
Linux Security (LFS416) 8 April, 2019 - 11 April, 2019 $2600 Hartmann Software Group Training Registration
Linux System Administration (LFS301) 22 April, 2019 - 25 April, 2019 $2600 Hartmann Software Group Training Registration
Open Source Virtualization (LFS462) 20 May, 2019 - 23 May, 2019 $2400 Hartmann Software Group Training Registration

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Creating an enum in Python prior to Python 3.4 was accomplished as follows:

 

def enum(**enums)::
      return type('Enum',(),enums)

then use as:

Animals=enum(Dog=1,Cat=2)

and accessed as:

Animals.Dog

The new version can be created as follows:

from enum import Enum

class Animal(Enum):
    Dog=1
    Cat=2

What is computer crime? Computer crime, often called “cyber crime” is any type of illegal activity that takes place on a computer with a network. Oftentimes, when you think of computer crime, you might picture a home user downloading a virus that wipes out his hard drive or spyware that hijacks her system for the purposes of spying. 

Computer crimes can also affect businesses too and they do, sometimes with devastating results. For example, in 2012, the IRS paid a whopping 5.2 billion dollars in tax refunds to identity thieves!

Protect your business and improve your bottom line by staying one step ahead of the cybercriminals.

5 Common Computer Crimes

There are normally two sides to the story when it comes to employment. On one hand, employers hold the view that the right candidate is a hard find; while on the other, job hunters think that it’s a tasking affair to land a decent job out there.

Regardless of which side of the divide you lay, landing good work or workers is a tedious endeavor. For those looking to hire, a single job opening could attract hundreds or thousands of applicants. Sifting through the lot in hope of finding the right fit is no doubt time consuming. Conversely, a job seeker may hold the opinion that he or she is submitting resumes into the big black hole of the Internet, never really anticipating a response, but nevertheless sending them out rather than sit back doing nothing.

A recruitment agency normally keeps an internal database of applicants and resumes for current and future opportunities. They first do a database search to try and identify qualified and screened candidates from their existing crop of talent. Most often the case, they’ll also post open positions online through industry websites and job boards so as to net other possible applicants.

When it comes to IT staffing needs, HR managers even find a more challenging process in their hands. This is because the IT department is one of the most sensitive in any given organization where a single slip-up could be disastrous for the company (think data security, think finances when the IT guys are working in tandem with accounts). You get the picture, right?

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 Missouri

Missouri, known as the ?Show Me State?, has a growing science and biotechnology field. One of the largest gene companies, in the U.S. Monsanto, is based in St. Louis. The higher education system is governed by the Missouri Department of Education and includes 13 four-year universities and 20 two-year colleges.
Thinking is more interesting than knowing, but less interesting than looking. ~ Johann Wolfgang von Goethe
other Learning Options
Software developers near Jefferson City 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 Missouri that offer opportunities for Linux Unix developers
Company Name City Industry Secondary Industry
Patriot Coal Corporation Saint Louis Agriculture and Mining Mining and Quarrying
Solutia Inc. Saint Louis Manufacturing Chemicals and Petrochemicals
Monsanto Company Saint Louis Agriculture and Mining Agriculture and Mining Other
Kansas City Power and Light Company Kansas City Energy and Utilities Gas and Electric Utilities
The Laclede Group, Inc. Saint Louis Energy and Utilities Gas and Electric Utilities
Peabody Energy Corporation Saint Louis Agriculture and Mining Mining and Quarrying
Emerson Electric Company Saint Louis Manufacturing Tools, Hardware and Light Machinery
Energizer Holdings, Inc. Saint Louis Manufacturing Manufacturing Other
Centene Corporation Saint Louis Healthcare, Pharmaceuticals and Biotech Healthcare, Pharmaceuticals, and Biotech Other
Express Scripts Saint Louis Healthcare, Pharmaceuticals and Biotech Pharmaceuticals
Reinsurance Group of America, Incorporated Chesterfield Financial Services Insurance and Risk Management
Ameren Corporation Saint Louis Energy and Utilities Gas and Electric Utilities
DST Systems, Inc. Kansas City Computers and Electronics Networking Equipment and Systems
Inergy, L.P. Kansas City Energy and Utilities Alternative Energy Sources
Leggett and Platt, Incorporated Carthage Manufacturing Furniture Manufacturing
Cerner Corporation Kansas City Software and Internet Software
O'Reilly Automotive, Inc. Springfield Retail Automobile Parts Stores
AMC Theatres Kansas City Media and Entertainment Motion Picture Exhibitors
Sigma-Aldrich Corporation Saint Louis Manufacturing Chemicals and Petrochemicals
HandR Block Kansas City Financial Services Securities Agents and Brokers
Graybar Services, Inc. Saint Louis Wholesale and Distribution Wholesale and Distribution Other
Edward Jones Saint Louis Financial Services Personal Financial Planning and Private Banking
Arch Coal, Inc. Saint Louis Energy and Utilities Alternative Energy Sources
Brown Shoe Company, Inc. Saint Louis Retail Clothing and Shoes Stores
Ralcorp Holdings, Inc. Saint Louis Manufacturing Food and Dairy Product Manufacturing and Packaging

training details locations, tags and why hsg

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 Missouri 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 Linux Unix programming
  • Get your questions answered by easy to follow, organized Linux Unix experts
  • Get up to speed with vital Linux Unix 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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Interesting Reads Take a class with us and receive a book of your choosing for 50% off MSRP.