Burnsville , Minnesota devops Training

Java still has its place in the world of software development, but is it quickly becoming obsolete by the more dynamically enabled Python programming language? The issue is hotly contested by both sides of the debate. Java experts point out that Java is still being developed with more programmer friendly updates. Python users swear that Java can take up to ten times longer to develop. Managers that need to make the best decision for a company need concrete information so that an informed and rational decision can be made.

First, Java is a static typed language while Python is dynamically typed. Static typed languages require that each variable name must be tied to both a type and an object. Dynamically typed languages only require that a variable name only gets bound to an object. Immediately, this puts Python ahead of the game in terms of productivity since a static typed language requires several elements and can make errors in coding more likely.

Python uses a concise language while Java uses verbose language. Concise language, as the name suggests, gets straight to the point without extra words. Removing additional syntax can greatly reduce the amount of time required to program. A simple call in Java, such as the ever notorious "Hello, World" requires three several lines of coding while Python requires a single sentence. Java requires the use of checked exceptions. If the exceptions are not caught or thrown out then the code fails to compile. In terms of language, Python certainly has surpassed Java in terms of brevity.

Additionally, while Java's string handling capabilities have improved they haven't yet matched the sophistication of Python's. Web applications rely upon fast load times and extraneous code can increase user wait time. Python optimizes code in ways that Java doesn't, and this can make Python a more efficient language. However, Java does run faster than Python and this can be a significant advantage for programmers using Java. When you factor in the need for a compiler for Java applications the speed factor cancels itself out leaving Python and Java at an impasse.

While a programmer will continue to argue for the language that makes it easiest based on the programmer's current level of knowledge, new software compiled with Python takes less time and provides a simplified coding language that reduces the chance for errors. When things go right, Java works well and there are no problems. However, when errors get introduced into the code, it can become extremely time consuming to locate and correct those errors. Python generally uses less code to begin with and makes it easier and more efficient to work with.

Ultimately, both languages have their own strengths and weaknesses. For creating simple applications, Python provides a simpler and more effective application. Larger applications can benefit from Java and the verbosity of the code actually makes it more compatible with future versions. Python code has been known to break with new releases. Ultimately, Python works best as a type of connecting language to conduct quick and dirty work that would be too intensive when using Java alone. In this sense, Java is a low-level implementation language. While both languages are continuing to develop, it's unlikely that one language will surpass the other for all programming needs in the near future.

3 Most Important Things Non-Programmers Should Know About Programming?

[May, 11, 2018] |
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What are the three most important things non-programmers should know about programming?

Written by Brian Knapp, credit and reprint CodeCareerGenius

Since you asked for the three most important things that non-programmers should know about, and I’ve spent most of my career working with more non-programmers than programmers, I have a few interesting things that would help.

Number One - It Is Impossible To Accurately Estimate Software Projects

No matter what is tried. No matter what tool, agile approach, or magic fairy dust people try to apply to creating software… accurately predicting software project timelines is basically impossible.

There are many good reasons for this. Usually, requirements and feature ideas change on a daily/weekly basis. Often it is impossible to know what needs to be done without actually digging into the code itself. Debugging and QA can take an extraordinary amount of time.

And worst of all…

Project Managers are always pushing for shorter timelines. They largely have no respect for reality. So, at some point they are given estimates just to make them feel better about planning.

No matter how much planning and estimation you do, it will be wrong. At best it will be directionally correct +/- 300% of what you estimated. So, a one year project could actually take anywhere between 0 and 5 years, maybe even 10 years.

If you think I’m joking, look at how many major ERP projects that go over time and over budget by many years and many hundreds of millions of dollars. Look at the F-35 fighter jet software issues.

Or in the small, you can find many cases where a “simple bug fix” can take days when you thought it was hours.

All estimates are lies made up to make everyone feel better. I’ve never met a developer or manager who could accurately estimate software projects even as well as the local weatherman(or woman) predicts the weather.

Number Two - Productivity Is Unevenly Distributed

What if I told you that in the average eight hour work day the majority of the work will get done in a 30 minute timeframe? Sound crazy?

Well, for most programmers there is a 30–90 minute window where you are extraordinarily productive. We call this the flow state.

Being in the flow state is wonderful and amazing. It often is where the “magic” of building software happens.

Getting into flow can be difficult. It’s akin to meditation in that you have to have a period of uninterrupted focus of say 30 minutes to “get in” the flow, but a tiny interruption can pull you right out.

Now consider the modern workplace environment. Programmers work in open office environments where they are invited to distract each other constantly.

Most people need a 1–2 hour uninterrupted block to get 30–90 minutes of flow.

Take the 8 hour day and break it in half with a lunch break, and then pile in a few meetings and all of a sudden you are lucky to get one decent flow state session in place.

That is why I say that most of the work that gets done happens in a 30 minute timeframe. The other 7–8 hours are spent being distracted, answering email, going to meetings, hanging around the water cooler, going to the bathroom, and trying to remember what you were working on before all these distractions.

Ironically, writers, musicians, and other creative professionals have their own version of this problem and largely work alone and away from other people when they are creating new things.

Someday the programming world might catch on, but I doubt it.

Even if this became obvious, it doesn’t sit well with most companies to think that programmers would be paid for an 8 hour day and only be cranking out code for a few hours on a good day. Some corporate middle manager would probably get the bright idea to have mandatory flow state training where a guru came in and then there would be a corporate policy from a pointy haired boss mandating that programmers are now required to spend 8 hours a day in flow state and they must fill out forms to track their time and notify their superiors of their flow state activities, otherwise there would be more meetings about the current flow state reports not being filed correctly and that programmers were spending too much time “zoning out” instead of being in flow.

Thus, programmers would spent 7–8 hours a day pretending to be in flow state, reporting on their progress, and getting all their work done in 30 minutes of accidental flow state somewhere in the middle of all that flow state reporting.

If you think I’m joking about this, I’m not. I promise you this is what would happen to any company of more than 2 employees. (Even the ones run by programmers.)

Number Three - It Will Cost 10x What You Think

Being a programmer, I get a lot of non-programmers telling me about their brilliant app ideas. Usually they want me to build something for free and are so generous as to pay me up to 5% of the profits for doing 100% of the work.

Their ideas are just that good.

Now, I gently tell them that I’m not interested in building anything for free.

At that point they get angry, but a few ask how much it will cost. I give them a reasonable (and very incorrect) estimate of what it would cost to create the incredibly simple version of their app idea.

Let’s say it’s some number like $25,000.

They look at me like I’m a lunatic, and so I explain how much it costs to hire a contract programmer and how long it will actually take. For example’s sake let’s say it is $100/hr for 250 hours.

To be clear, these are made up numbers and bad estimates (See Number One for details…)

In actuality, to build the actual thing they want might cost $250,000, or even $2,500,000 when it’s all said and done.

Building software can be incredibly complex and expensive. What most people can’t wrap their head around is the fact that a company like Google, Apple, or Microsoft has spent BILLIONS of dollars to create something that looks so simple to the end user.

Somehow, the assumption is that something that looks simple is cheap and fast to build.

Building something simple and easy for the end user is time consuming and expensive. Most people just can’t do it.

So, the average person with a brilliant app idea thinks it will cost a few hundred or maybe a few thousand dollars to make and it will be done in a weekend is so off the mark it’s not worth considering their ideas.

And programmers are too eager to play along with these bad ideas (by making bad estimates and under charging for their time) that this notion is perpetuated to the average non-programmer.

So, a good rule of thumb is that software will cost 10 times as much as you think and take 10 times as long to finish.

And that leads to a bonus point…

BONUS - Software Is Never Done

Programmers never complete a software project, they only stop working on it. Software is never done.

I’ve worked at many software companies and I’ve never seen a software project “completed”.

Sure, software gets released and used. But, it is always changing, being updated, bugs get fixed, and there are always new customer requests for features.

Look at your favorite software and you’ll quickly realize how true this is. Facebook, Instagram, Google Search, Google Maps, GMail, iOS, Android, Windows, and now even most video games are never done.

There are small armies of developers just trying to keep all the software you use every day stable and bug free. Add on the fact that there are always feature requests, small changes, and new platforms to deal with, it’s a treadmill.

So, the only way out of the game is to stop working on software. At that point, the software begins to decay until it is no longer secure or supported.

Think about old Windows 3.1 software or maybe old Nintendo Cartridge video games. The current computers and video game consoles don’t even attempt to run that software anymore.

You can’t put an old video game in your new Nintendo Switch and have it “just work”. That is what happens when you think software is done.

When programmers stop working on software the software starts to die. The code itself is probably fine, but all the other software keeps moving forward until your software is no longer compatible with the current technology.

So, those are the four most important things that non-programmers should know about programming. I know you asked for only three, so I hope the bonus was valuable to you as well.

What is Design Thinking and How Does it Apply to HR?

[Jan, 28, 2020] |
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The Context Of Design Thinking And Its Application In Employee Skill Training

Design thinking is a crucial pillar in today’s problem-solving imperatives. In fact, it is being pursued as a unit course in various institutions across the globe, thus underlying its importance in aiding objective human thinking. It’s not a specific property for designers. Far from it, it has emerged as an innovative solution-seeking tool for all great inventors and innovators.

By description, it is a design methodology used for tackling complex problems that are virtually unknown or ill-defined, through a careful evaluation of the human needs involved, understandably restructuring the problem, by brainstorming to create many solutions, and by adopting a direct approach in testing and prototyping. It helps us come up with creative ways to solve nagging problems that stem from us and especially in the workplace setting.

The ‘overwhelmed/overburdened employee’ is a common term in HR offices across many organizations in the world. Employees are faced with a huge challenge in regards to coping with fast-paced technological and office changes in the working environment. This had led to a massive stagnation in productivity, prompting HR heads to look for new ways to reduce their employees’ stress and workload.

While evaluating many options, this model of thinking has posed as a helpful tool for HR managers when dealing with their vexed employees. IT training, in particular, has helped shape the productive realms of many companies out there.

Let’s explore how this thinking domain can be used to plan employee skill training:

Empathize

If you want to show concern for your employees, first empathize with their situation. Seek to understand the needs of the employees deeply, what they lack, what they need, and the challenges that they are likely facing. This will act as the basis of plotting the problem and working on the next phase of solving it.

You can collect data in this phase through empathy maps and journey maps. In the latter, you endeavor to steadily track the day-to-day activities and tasks of employees. This is achieved through observations or structured interviews. In turn, it aids in elevating the thinking process.

Through empathy maps, you ponder on collected findings and synthesize them keenly. Here, you seek to establish how an employee is thinking, their feelings, and insights into the probable root cause of the problem.

Define the Problem

After a comprehensive analysis of the collected data; the problem definition phase should follow. The idea here is to locate the underlying root of the problem concisely. HR should seek to utilize an analysis framework to help address problems affecting the holistic being of all employees. Therefore, each issue would require a list of underlying causes: lack of motivation, lack of knowledge/understanding, or just lack of skill.

Once the root cause(s) are clearly defined, a clear problem statement should be drawn up alongside performance goals that are firmly based on actual drivers.

Think Solely About Employee-Based Solutions (iterative learning)

Conventionally, customers are at the heart of every organization’s dealings. They inspire and drive the company’s objectives because they are crucial in profit making. However, employees have greatly suffered while working ‘behind the scenes.’ Such situations have led to employees feeling discontent and work under immense pressure, which inevitably leads to underperformance. To avoid this, the experimental learning concept can be utilized by HR offices to engage employees more by creating solutions that directly suit the situations they encounter daily.

Here, trainers are removed as the center of focus. An iterative ‘reflection’ cycle is established to tap continuous employee feedback in a bid to sharpen their skills. This method helps employees adapt to new technology through a well established IT consulting network. In the long run, employees don’t forget how they handled a particular problem, and this effectively raises a firm’s productivity.

Support Employee Tasks with Simple Technology (Ideate)

The simplest way to support employee-working experience is by not sidelining them unprepared with changing technology processes. As an HR Manager, fully engage your employees when transitioning to new tech by making use of effective training or consulting services. Specific training needs can be assessed and addressed within the organization or with a third party industry expert.

According to Deloitte’s 2016 Global Human Capital Trends Report, design thinking was isolated as crucial in crafting the employee experience. 79% of those interviewed identified it as imperative. However, almost a similar percentage agreed that a lot of compliance programs and training are still based on outdated modes of meetings and processes.

The report also recommended the need to put necessary consideration on employees through proper IT training for far colossal efficiency. One way to make this work is by drawing a connected roadmap of skills and information needed at certain work intervals. Shedding off overwhelming and irrelevant amounts of data for new employees is vital in retaining their concentration and output. What’s more, a customizable app can help employees undertake appropriate tasks at the specified time, thus resulting in higher revenue for the long term.

Implementing an Intuitive Tech Learning Approach (Ideate)

The basis of this argument is that not every employee is the same. All of them are differently gifted and shouldn’t be forced to use one inflexible technology or system that doesn’t cater to their individual needs in a buzzing work environment. This mode of critical thinking brings to life personas such that fictive employees representing a defined group of external employees are drawn up. In this set-up, the personas should be able to learn and work efficiently within their own small environment while quickly utilizing their own skill set and the required information to make things work.

An HR manager can replicate this working scenario through the use of role-plays. This can be achieved by conducting short-term soft skills training sessions to sharpen their ability to handle similar situations. In the case of new technology, video-replays on how to use it in a one-on-one customer scenario can help relieve the pressure and spur the employee to be more productive.

Prototype and Testing

Here, the HR Manager should run a couple of tests to ensure whether the desired model of skill training is working. One way to get started is by crafting a simple prototype of the technology required, probably as a single module to establish its viability.

The new technology should be vigorously tested during prototyping to pinpoint any leaks, disjoints, or performance issues. Structured walkthroughs can be implemented to help employees navigate the solution through proper IT training sessions.

What’s more, HR should conduct sessions to get the employees’ views, emotions, or feelings regarding the new solution. In case of any cause for concern, the prototype should be improved until it meets the intermediate needs of its users.

Iterations are also a common occurrence in this phase. Refinements and alterations are curved out to make sure that the final thing suits every employee in some understandable capacity.

Wrapping Up

Design thinking is crucial in any organizational setting in making sure that employees sync properly with the technology in place. This will go a long way in improving their productivity.

Can Python Predict Outcomes Based on Historical Data?

[Sep, 21, 2017] |
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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.

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 Burnsville 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.

HaskellMN · Twin Cities Windows 8 User Group · The MN IT Security Group ·

Fortune 500 and 1000 companies in Minnesota that offer opportunities for DevOps 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

training details locations, tags and why hsg

the hartmann software group advantage

why take DevOps Training with the hartmann software group?

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 DevOps programming
Get your questions answered by easy to follow, organized DevOps experts
Get up to speed with vital DevOps 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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DevOps Training Classes in Burnsville, Minnesota

Learn DevOps in Burnsville, 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 DevOps related training offerings in Burnsville, Minnesota: DevOps Training

DevOps Training Catalog

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