C# Programming Training in Harlingen, Texas

On March 6 of this year, Microsoft's .NET Foundation released its third preview release of .NET Core 3 — which is its free and open-source framework for developing apps on Windows, MacOS and Linux — with an official release scheduled for later this year. This release brings a wealth of new features and enhancements. This includes the following:

1. Windows Desktop Support

One of the biggest additions to version 3.0 of the framework is the ability to develop Windows desktop applications. The new Windows Desktop component lets you build applications using either the Windows Presentation Foundation (WPF) graphical subsystem or the Windows Forms graphical class library. You can also use Windows UI XAML Library (WinUI) controls in your applications.

The Windows Desktop component is only supported and included on Windows installs.

2. Support for C# 8

The new framework has support for C# 8, which includes not only the ability to create asynchronous steams but features such as:

Index and Range data types

Using declarations

Switch expressions

The Index and Range data types make array manipulation easier, while Using declarations ensure that your objects get disposed once they are out of scope. Finally, Switch expressions extend Switch statements by allowing you to return a value.

3. IEEE Floating-Point Improvements

The new framework includes floating point APIs that comply with IEEE 754-2008. This includes fixes to both formatting and parsing as well as new Math APIs such as:

BitIncrement/BitDecrement

MaxMagnitude/MinMagnitude

ILogB

ScaleB

Log2

FusedMultiplyAdd

CopySign

4. Support for Performance-Oriented CPU Instructions

The new framework includes support for both SIMD and Bit Manipulation instruction sets, which can create significant performance boosts in certain situations, such as when you are processing data in parallel.

5. Default Executables

With the new framework, you can now produce framework-dependent executables by default without having to use self-contained deployments.

6. Local dotnet Tools

In the previous version of the framework, there was support for global dotnet tools. But the current version adds support for local tools as well. These tools are associated with a specific disk location, and this allows you to enable per-repository and per-project tooling.

7. Support for MSIX Deployments

The new framework supports MSIX, which is a Windows app package format that you can use when deploying Windows desktop applications.

8. Built-In and Fast JSON Support

In prior versions of the framework, you had to use Json.NET if you wanted JSON support in your application. The framework, though, now has built-in support that is not only fast but also has low allocation requirements. It also adds 3 new JSON types, which include:

Utf8JsonReader

Utf8JsonWriter

JsonDocument

9. Cryptography Support

The new framework supports AES-GCM and AES-CCM ciphers. It also supports the importing and exporting of asymmetric public and private keys from a variety of formats without the need of an X.509 certificate.

Platform Support

.NET Core 3 supports the following operating systems:

Alpine: 3.8+

Debian: 9+

Fedora: 26+

macOS: 10.12+

openSUSE: 42.3+

RHEL: 6+

SLES: 12+

Ubuntu: 16.04+

Windows Clients: 7, 8.1, 10 (1607+)

Windows Servers: 2012 R2 SP1+

The framework further supports the following chips:

x64 (Windows, macOS and Linux)

x86 (Windows)

ARM32 (Windows and Linux)

ARM64 (Linux)

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Working With Strings In Python

[Oct, 30, 2012] |
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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:

The Future of Java and Python

[Mar, 13, 2014] |
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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.

Python Programming for Cisco Networking Engineers

[Jun, 25, 2018] |
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Wondering why Cisco is teaching network engineers Python in addition to their core expertise?

Yes, arguably there are many other tools available to use to automate the network without writing any code. It is also true that when code is absolutely necessary, in most companies software developers will write the code for the network engineers. However, networks are getting progressively more sophisticated and the ability for network engineers to keep up with the rate of change, scale of networks, and processing of requirements is becoming more of a challenge with traditional methodologies.

Does that mean that all network engineers have to become programmers in the future? Not completely, but having certain tools in your tool belt may be the deciding factor in new or greater career opportunities. The fact is that current changes in the industry will require Cisco engineers to become proficient in programming, and the most common programming language for this new environment is the Python programming language. Already there are more opportunities for those who can understand programming and can also apply it to traditional networking practices.

Cisco’s current job boards include a search for a Sr. Network Test Engineer and for several Network Consulting Engineers, each with "competitive knowledge" desired Python and Perl skills. Without a doubt, the most efficient network engineers in the future will be the ones who will be able to script their automated network-related tasks, create their own services directly in the network, and continuously modify their scripts.

Whether you are forced to attend or are genuinely interested in workshops or courses that cover the importance of learning topics related to programmable networks such as Python, the learning curve at the very least will provide you with an understanding of Python scripts and the ability to be able to use them instead of the CLI commands and the copy and paste options commonly used. Those that plan to cling to their CLI will soon find themselves obsolete.

As with anything new, learning a programming language and using new APIs for automation will require engineers to learn and master the skills before deploying widely across their network. The burning question is where to start and which steps to take next?

In How Do I Get Started Learning Network Programmability? Hank Preston – on the Cisco blog page suggest a three phase approach to diving into network programmability.

“Phase 1: Programming Basics

In this first phase you need to build a basic foundation in the programmability skills, topics, and technologies that will be instrumental in being successful in this journey. This includes learning basic programming skills like variables, operations, conditionals, loops, etc. And there really is no better language for network engineers to leverage today than Python. Along with Python, you should explore APIs (particularly REST APIs), data formats like JSON, XML, and YAML. And if you don’t have one already, sign up for a GitHub account and learn how to clone, pull, and push to repos.

Phase 2: Platform Topics

Once you have the programming fundamentals squared away (or at least working on squaring them away) the time comes to explore the new platforms of Linux, Docker, and “the Cloud.” As applications are moving from x86 virtualization to micro services, and now serverless, the networks you build will be extending into these new areas and outside of traditional physical network boxes. And before you can intelligently design or engineer the networks for those environments, you need to understand how they basically work. The goal isn’t to become a big bushy beard wearing Unix admin, but rather to become comfortable working in these areas.

Phase 3: Networking for Today and Tomorrow

Now you are ready to explore the details of networking in these new environments. In phase three you will dive deep into Linux, container/Docker, cloud, and micro service networking. You have built the foundation of knowledge needed to take a hard look at how networking works inside these new environments. Explore all the new technologies, software, and strategies for implementing and segmenting critical applications in the “cloud native” age and add value to the application projects.”

Community resources:

GitHub’s, PYPL Popularity of Programming Language lists Python as having grown 13.2% in demand in the last 5 years.

Python in the June 2018 TIOBE Index ranks as the fourth most popular language behind Java, C and C++.

Despite the learning curve, having Python in your tool belt is without a question a must have tool.

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.

If you do build a great experience, customers tell each other about that. Word of mouth is very powerful. Jeff Bezos Amazon.com founder

other Learning Options

Software developers near Harlingen 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.

Java Rockstars · DFW Apache LAMP Group · Dallas Large-Scale Production Engineering (LSPE) ·

Fortune 500 and 1000 companies in Texas that offer opportunities for C# Programming 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

why take C# Programming 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 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 C# Programming programming
Get your questions answered by easy to follow, organized C# Programming experts
Get up to speed with vital C# Programming 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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