Git, Jira, Wicket, Gradle, Tableau Training Classes in Everett, Washington
Learn Git, Jira, Wicket, Gradle, Tableau in Everett, Washington 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 Git, Jira, Wicket, Gradle, Tableau related training offerings in Everett, Washington: Git, Jira, Wicket, Gradle, Tableau Training
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A string in Python is enclosed in either single or double quotes. Therefore, either one does the trick. A common practice is to place single words with no characters that can be interpolated in single quotes and multi-word strings that contain interpolated characters in double quotes. This may be a carry over from Perl where interpolated characters are in double quotes.
If you do not want to interpolate a string, use a raw string ... r"\n". With the exception of the last print statement, each of the print statements prints hello on a separate line from how are you?. They are great for regular expressions.
Finally, triple double quotes """ some message about a function or class ... """ are used for docstrings.
print "hello \n how are you?"
print 'hello \n how are you?'
print r"hello \n how are you?"
Studying a functional programming language is a good way to discover new approaches to problems and different ways of thinking. Although functional programming has much in common with logic and imperative programming, it uses unique abstractions and a different toolset for solving problems. Likewise, many current mainstream languages are beginning to pick up and integrate various techniques and features from functional programming.
Many authorities feel that Haskell is a great introductory language for learning functional programming. However, there are various other possibilities, including Scheme, F#, Scala, Clojure, Erlang and others.
Haskell is widely recognized as a beautiful, concise and high-performing programming language. It is statically typed and supports various cool features that augment language expressivity, including currying and pattern matching. In addition to monads, the language support a type-class system based on methods; this enables higher encapsulation and abstraction. Advanced Haskell will require learning about combinators, lambda calculus and category theory. Haskell allows programmers to create extremely elegant solutions.
Scheme is another good learning language -- it has an extensive history in academia and a vast body of instructional documents. Based on the oldest functional language -- Lisp -- Scheme is actually very small and elegant. Studying Scheme will allow the programmer to master iteration and recursion, lambda functions and first-class functions, closures, and bottom-up design.
Supported by Microsoft and growing in popularity, F# is a multi-paradigm, functional-first programming language that derives from ML and incorporates features from numerous languages, including OCaml, Scala, Haskell and Erlang. F# is described as a functional language that also supports object-oriented and imperative techniques. It is a .NET family member. F# allows the programmer to create succinct, type-safe, expressive and efficient solutions. It excels at parallel I/O and parallel CPU programming, data-oriented programming, and algorithmic development.
Scala is a general-purpose programming and scripting language that is both functional and object-oriented. It has strong static types and supports numerous functional language techniques such as pattern matching, lazy evaluation, currying, algebraic types, immutability and tail recursion. Scala -- from "scalable language" -- enables coders to write extremely concise source code. The code is compiled into Java bytecode and executes on the ubiquitous JVM (Java virtual machine).
Like Scala, Clojure also runs on the Java virtual machine. Because it is based on Lisp, it treats code like data and supports macros. Clojure's immutability features and time-progression constructs enable the creation of robust multithreaded programs.
Erlang is a highly concurrent language and runtime. Initially created by Ericsson to enable real-time, fault-tolerant, distributed applications, Erlang code can be altered without halting the system. The language has a functional subset with single assignment, dynamic typing, and eager evaluation. Erlang has powerful explicit support for concurrent processes.
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:
Let’s face it, fad or not, companies are starting to ask themselves how they could possibly use machine learning and AI technologies in their organization. Many are being lured by the promise of profits by discovering winning patterns with algorithms that will enable solid predictions… The reality is that most technology and business professionals do not have sufficient understanding of how machine learning works and where it can be applied. For a lot of firms, the focus still tends to be on small-scale changes instead of focusing on what really matters…tackling their approach to machine learning.
In the recent Wall Street Journal article, Machine Learning at Scale Remains Elusive for Many Firms, Steven Norton captures interesting comments from the industry’s data science experts. In the article, he quotes panelists from the MIT Digital Economy Conference in NYC, on businesses current practices with AI and machine learning. All agree on the fact that, for all the talk of Machine Learning and AI’s potential in the enterprise, many firms aren’t yet equipped to take advantage of it fully.
Panelist, Michael Chui, partner at McKinsey Global Institute states that “If a company just mechanically says OK, I’ll automate this little activity here and this little activity there, rather than re-thinking the entire process and how it can be enabled by technology, they usually get very little value out of it. “Few companies have deployed these technologies in a core business process or at scale.”
Panelist, Hilary Mason, general manager at Cloudera Inc., had this to say, “With very few exceptions, every company we work with wants to start with a cost-savings application of automation.” “Most organizations are not set up to do this well.”
Tech Life in Washington
Company Name | City | Industry | Secondary Industry |
---|---|---|---|
Symetra Financial Corporation | Bellevue | Financial Services | Insurance and Risk Management |
Alaska Air Group, Inc. | Seattle | Travel, Recreation and Leisure | Passenger Airlines |
Expedia, Inc. | Bellevue | Travel, Recreation and Leisure | Travel Agents & Services |
Itron, Inc. | Liberty Lake | Computers and Electronics | Instruments and Controls |
PACCAR Inc. | Bellevue | Manufacturing | Automobiles, Boats and Motor Vehicles |
Puget Sound Energy Inc | Bellevue | Energy and Utilities | Gas and Electric Utilities |
Expeditors International of Washington, Inc. | Seattle | Transportation and Storage | Freight Hauling (Rail and Truck) |
Costco Wholesale Corporation | Issaquah | Retail | Grocery and Specialty Food Stores |
Starbucks Corporation | Seattle | Retail | Restaurants and Bars |
Nordstrom, Inc. | Seattle | Retail | Department Stores |
Weyerhaeuser Company | Federal Way | Manufacturing | Paper and Paper Products |
Microsoft Corporation | Redmond | Software and Internet | Software |
Amazon.com, Inc. | Seattle | Retail | Sporting Goods, Hobby, Book, and Music Stores |
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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.
- We have provided software development and other IT related training to many major corporations in Washington since 2002.
- 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.
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