Tcl, Awk, Bash, Shell Training Classes in Stockton, California

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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.

Python and Ruby, each with roots going back into the 1990s, are two of the most popular interpreted programming languages today. Ruby is most widely known as the language in which the ubiquitous Ruby on Rails web application framework is written, but it also has legions of fans that use it for things that have nothing to do with the web. Python is a big hit in the numerical and scientific computing communities at the present time, rapidly displacing such longtime stalwarts as R when it comes to these applications. It too, however, is also put to a myriad of other uses, and the two languages probably vie for the title when it comes to how flexible their users find them.

A Matter of Personality...


That isn't to say that there aren't some major, immediately noticeable, differences between the two programming tongues. Ruby is famous for its flexibility and eagerness to please; it is seen by many as a cleaned-up continuation of Perl's "Do What I Mean" philosophy, whereby the interpreter does its best to figure out the meaning of evening non-canonical syntactic constructs. In fact, the language's creator, Yukihiro Matsumoto, chose his brainchild's name in homage to that earlier language's gemstone-inspired moniker.

Python, on the other hand, takes a very different tact. In a famous Python Enhancement Proposal called "The Zen of Python," longtime Pythonista Tim Peters declared it to be preferable that there should only be a single obvious way to do anything. Python enthusiasts and programmers, then, generally prize unanimity of style over syntactic flexibility compared to those who choose Ruby, and this shows in the code they create. Even Python's whitespace-sensitive parsing has a feel of lending clarity through syntactical enforcement that is very much at odds with the much fuzzier style of typical Ruby code.

For example, Python's much-admired list comprehension feature serves as the most obvious way to build up certain kinds of lists according to initial conditions:

a = [x**3 for x in range(10,20)]
b = [y for y in a if y % 2 == 0]

first builds up a list of the cubes of all of the numbers between 10 and 19 (yes, 19), assigning the result to 'a'. A second list of those elements in 'a' which are even is then stored in 'b'. One natural way to do this in Ruby is probably:

a = (10..19).map {|x| x ** 3}
b = a.select {|y| y.even?}

but there are a number of obvious alternatives, such as:

a = (10..19).collect do |x|
x ** 3
end

b = a.find_all do |y|
y % 2 == 0
end

It tends to be a little easier to come up with equally viable, but syntactically distinct, solutions in Ruby compared to Python, even for relatively simple tasks like the above. That is not to say that Ruby is a messy language, either; it is merely that it is somewhat freer and more forgiving than Python is, and many consider Python's relative purity in this regard a real advantage when it comes to writing clear, easily understandable code.

And Somewhat One of Performance

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.

It is said that spoken languages shape thoughts by their inclusion and exclusion of concepts, and by structuring them in different ways. Similarly, programming languages shape solutions by making some tasks easier and others less aesthetic. Using F# instead of C# reshapes software projects in ways that prefer certain development styles and outcomes, changing what is possible and how it is achieved.

F# is a functional language from Microsoft's research division. While once relegated to the land of impractical academia, the principles espoused by functional programming are beginning to garner mainstream appeal.

As its name implies, functions are first-class citizens in functional programming. Blocks of code can be stored in variables, passed to other functions, and infinitely composed into higher-order functions, encouraging cleaner abstractions and easier testing. While it has long been possible to store and pass code, F#'s clean syntax for higher-order functions encourages them as a solution to any problem seeking an abstraction.

F# also encourages immutability. Instead of maintaining state in variables, functional programming with F# models programs as a series of functions converting inputs to outputs. While this introduces complications for those used to imperative styles, the benefits of immutability mesh well with many current developments best practices.

For instance, if functions are pure, handling only immutable data and exhibiting no side effects, then testing is vastly simplified. It is very easy to test that a specific block of code always returns the same value given the same inputs, and by modeling code as a series of immutable functions, it becomes possible to gain a deep and highly precise set of guarantees that software will behave exactly as written.

Further, if execution flow is exclusively a matter of routing function inputs to outputs, then concurrency is vastly simplified. By shifting away from mutable state to immutable functions, the need for locks and semaphores is vastly reduced if not entirely eliminated, and multi-processor development is almost effortless in many cases.

Type inference is another powerful feature of many functional languages. It is often unnecessary to specify argument and return types, since any modern compiler can infer them automatically. F# brings this feature to most areas of the language, making F# feel less like a statically-typed language and more like Ruby or Python. F# also eliminates noise like braces, explicit returns, and other bits of ceremony that make languages feel cumbersome.

Functional programming with F# makes it possible to write concise, easily testable code that is simpler to parallelize and reason about. However, strict functional styles often require imperative developers to learn new ways of thinking that are not as intuitive. Fortunately, F# makes it possible to incrementally change habits over time. Thanks to its hybrid object-oriented and functional nature, and its clean interoperability with the .net platform, F# developers can gradually shift to a more functional mindset while still using the algorithms and libraries with which they are most familiar.

 

Related F# Resources:

F# Programming Essentials Training

Tech Life in California

Largely influenced by several immigrant populations California has experienced several technological, entertainment and economic booms over the years. As for technology, Silicon Valley, in the southern part of San Francisco is an integral part of the world?s innovators, high-tech businesses and a myriad of techie start-ups. It also accounts for 1/3rd of all venture capital investments.
I've got a passion for solving a problem that I think I can solve in a new way. And that maybe it helps that nobody has done it before as well. Pierre Omidyar, eBay founder
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Software developers near Stockton 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 California that offer opportunities for Tcl, Awk, Bash, Shell developers
Company Name City Industry Secondary Industry
Mattel, Inc. El Segundo Retail Sporting Goods, Hobby, Book, and Music Stores
Spectrum Group International, Inc. Irvine Retail Retail Other
Chevron Corp San Ramon Energy and Utilities Gasoline and Oil Refineries
Jacobs Engineering Group, Inc. Pasadena Real Estate and Construction Construction and Remodeling
eBay Inc. San Jose Software and Internet E-commerce and Internet Businesses
Broadcom Corporation Irvine Computers and Electronics Semiconductor and Microchip Manufacturing
Franklin Templeton Investments San Mateo Financial Services Investment Banking and Venture Capital
Pacific Life Insurance Company Newport Beach Financial Services Insurance and Risk Management
Tutor Perini Corporation Sylmar Real Estate and Construction Construction and Remodeling
SYNNEX Corporation Fremont Software and Internet Data Analytics, Management and Storage
Core-Mark International Inc South San Francisco Manufacturing Food and Dairy Product Manufacturing and Packaging
Occidental Petroleum Corporation Los Angeles Manufacturing Chemicals and Petrochemicals
Yahoo!, Inc. Sunnyvale Software and Internet Software and Internet Other
Edison International Rosemead Energy and Utilities Gas and Electric Utilities
Ingram Micro, Inc. Santa Ana Computers and Electronics Consumer Electronics, Parts and Repair
Safeway, Inc. Pleasanton Retail Grocery and Specialty Food Stores
Gilead Sciences, Inc. San Mateo Healthcare, Pharmaceuticals and Biotech Pharmaceuticals
AECOM Technology Corporation Los Angeles Real Estate and Construction Architecture,Engineering and Design
Reliance Steel and Aluminum Los Angeles Manufacturing Metals Manufacturing
Live Nation, Inc. Beverly Hills Media and Entertainment Performing Arts
Advanced Micro Devices, Inc. Sunnyvale Computers and Electronics Semiconductor and Microchip Manufacturing
Pacific Gas and Electric Corp San Francisco Energy and Utilities Gas and Electric Utilities
Electronic Arts Inc. Redwood City Software and Internet Games and Gaming
Oracle Corporation Redwood City Software and Internet Software and Internet Other
Symantec Corporation Mountain View Software and Internet Data Analytics, Management and Storage
Dole Food Company, Inc. Thousand Oaks Manufacturing Food and Dairy Product Manufacturing and Packaging
CBRE Group, Inc. Los Angeles Real Estate and Construction Real Estate Investment and Development
First American Financial Corporation Santa Ana Financial Services Financial Services Other
The Gap, Inc. San Francisco Retail Clothing and Shoes Stores
Ross Stores, Inc. Pleasanton Retail Clothing and Shoes Stores
Qualcomm Incorporated San Diego Telecommunications Wireless and Mobile
Charles Schwab Corporation San Francisco Financial Services Securities Agents and Brokers
Sempra Energy San Diego Energy and Utilities Gas and Electric Utilities
Western Digital Corporation Irvine Computers and Electronics Consumer Electronics, Parts and Repair
Health Net, Inc. Woodland Hills Healthcare, Pharmaceuticals and Biotech Healthcare, Pharmaceuticals, and Biotech Other
Allergan, Inc. Irvine Healthcare, Pharmaceuticals and Biotech Biotechnology
The Walt Disney Company Burbank Media and Entertainment Motion Picture and Recording Producers
Hewlett-Packard Company Palo Alto Computers and Electronics Consumer Electronics, Parts and Repair
URS Corporation San Francisco Real Estate and Construction Architecture,Engineering and Design
Cisco Systems, Inc. San Jose Computers and Electronics Networking Equipment and Systems
Wells Fargo and Company San Francisco Financial Services Banks
Intel Corporation Santa Clara Computers and Electronics Semiconductor and Microchip Manufacturing
Applied Materials, Inc. Santa Clara Computers and Electronics Semiconductor and Microchip Manufacturing
Sanmina Corporation San Jose Computers and Electronics Semiconductor and Microchip Manufacturing
Agilent Technologies, Inc. Santa Clara Telecommunications Telecommunications Equipment and Accessories
Avery Dennison Corporation Pasadena Manufacturing Paper and Paper Products
The Clorox Company Oakland Manufacturing Chemicals and Petrochemicals
Apple Inc. Cupertino Computers and Electronics Consumer Electronics, Parts and Repair
Amgen Inc Thousand Oaks Healthcare, Pharmaceuticals and Biotech Biotechnology
McKesson Corporation San Francisco Healthcare, Pharmaceuticals and Biotech Pharmaceuticals
DIRECTV El Segundo Telecommunications Cable Television Providers
Visa, Inc. San Mateo Financial Services Credit Cards and Related Services
Google, Inc. Mountain View Software and Internet E-commerce and Internet Businesses

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 California 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 Tcl, Awk, Bash, Shell programming
  • Get your questions answered by easy to follow, organized Tcl, Awk, Bash, Shell experts
  • Get up to speed with vital Tcl, Awk, Bash, Shell 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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