Ajax Training Classes in Lowell, Massachusetts
Learn Ajax in Lowell, Massachusetts 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 Ajax related training offerings in Lowell, Massachusetts: Ajax Training
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- RED HAT ENTERPRISE LINUX V7 DIFFERENCES
13 May, 2024 - 15 May, 2024 - Docker
22 July, 2024 - 24 July, 2024 - Fast Track to Java 17 and OO Development
12 August, 2024 - 16 August, 2024 - LINUX SHELL SCRIPTING
29 May, 2024 - 30 May, 2024 - RED HAT ENTERPRISE LINUX AUTOMATION WITH ANSIBLE
3 June, 2024 - 6 June, 2024 - See our complete public course listing
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If you are interested in using java tutorials to educate yourself from home, you are probably interested in learning how to tell the difference between valuable resource materials, and those which are outdated or incorrect. Learning to evaluate the quality of available tutorials is both an art and a science, and is best accomplished by paying attention to some of the individual components which make up a quality tutorial. We will take a look at four of the most important:
· Good organization – The tutorial needs to have a well-developed structure, which comprehensively details the content it will deliver, and is very easy for users to navigate. A good organizational structure is indicative of a polished educational thought process, and is more important than you may think in the development of a good tutorial.
· Valuable content – For good java tutorials, the content should be structured around accomplishing individual tasks. It should do so by providing clear instruction to the reader, and be concise and to the point as well. The delivery of quality content is the primary purpose of any tutorial.
· Attractive appearance – Attention needs to be paid to the manner in which the tutorial is presented. They should always strive to be visually appealing and not overly busy, so as to distract from communicating the message. A clean and simple presentation also helps to emphasize the content.
Writing Python in Java syntax is possible with a semi-automatic tool. Programming code translation tools pick up about 75% of dynamically typed language. Conversion of Python to a statically typed language like Java requires some manual translation. The modern Java IDE can be used to infer local variable type definitions for each class attribute and local variable.
Translation of Syntax
Both Python and Java are OO imperative languages with sizable syntax constructs. Python is larger, and more competent for functional programming concepts. Using the source translator tool, parsing of the original Python source language will allow for construction of an Abstract Source Tree (AST), followed by conversion of the AST to Java.
Python will parse itself. This capability is exhibited in the ast module, which includes skeleton classes. The latter can be expanded to parse and source each node of an AST. Extension of the ast.NodeVisitor class enables python syntax constructs to be customized using translate.py and parser.py coding structure.
The Concrete Syntax Tree (CST) for Java is based on visit to the AST. Java string templates can be output at AST nodes with visitor.py code. Comment blocks are not retained by the Python ast Parser. Conversion of Python to multi-line string constructs with the translator reduces time to script.
Scripting Python Type Inference in Java
Programmers using Python source know that the language does not contain type information. The fact that Python is a dynamic type language means object type is determined at run time. Python is also not enforced at compile time, as the source is not specified. Runtime type information of an object can be determined by inspecting the __class__.__name__ attribute.
Python’s inspect module is used for constructing profilers and debugging.
Implementation of def traceit (frame, event, arg) method in Python, and connecting it to the interpreter with sys.settrace (traceit) allows for integration of multiple events during application runtime.
Method call events prompt inspect and indexing of runtime type. Inspection of all method arguments can be conducted. By running the application profiler and exercising the code, captured trace files for each source file can be modified with the translator. Generating method syntax can be done with the translator by search and addition of type information. Results in set or returned variables disseminate the dynamic code in static taxonomy.
The final step in the Python to Java scrip integration is to administer unsupported concepts such as value object creation. There is also the task of porting library client code, for reproduction in Java equivalents. Java API stubs can be created to account for Python APIs. Once converted to Java the final clean-up of the script is far easier.
Related:
What Are The 10 Most Famous Software Programs Written in Python?
With the rise of the smart phone, many people who have long seen themselves as non-gamers have began to download and play to occupy themselves throughout the day. If you're a game developer who has a history of writing your code in C#, then perhaps this still emerging market is something you should consider taking advantage of. This, however, will require the familiarization with other programming languages.
One option for moving away from the C# language is to learn Java. Java is the programming used for apps on the android platform, billions of phones run on this programming language.
If you want to break into the android market, then learning Java is an absolute must.
There are both some pros and some cons to learning java. Firstly, if you already know C# or other languages and understand how they work, then java will be relatively easy to learn due to having similar, but quite simplified, syntax to C-based languages, the class library is large and standardized, but also very well written, and you might find that it will improve the performance and portability of your creations. Not to mention, learning java opens you up to the entirety of the android app and game market, a very large and still growing market that would otherwise stay closed off to you. That's too much ad and sale money to risk missing out on.
The few cons that come with learning the language is that, when coming from other languages, the syntax may take some getting used to. This is true for most languages. The other problem is that you must be careful with the specifics of how you write your code. While java can be written in a very streamlined fashion, it's also possible to write working, but bulky, code that will slow down your programs. Practice makes perfect, and the knowledge to avoid such pitfalls within the language.
If you wish to develop for the iOS on the other hand, knowledge of Objective C is required. The most compelling reason to learn Objective C is the market that it will open you up to. According to the website AndroidAuthority.com, in the article "Google play vs. Apple app store", users of iPhones and other iOS devices are much more likely to spend money on apps rather than downloading free ones.
Though learning Objective C might be a far jump from someone who currently writes in C#, it's certainly learn-able with a little bit of practice.
What are a few unique pieces of career advice that nobody ever mentions?
Good non-programmer jobs for people with software developer experience
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 Massachusetts
Company Name | City | Industry | Secondary Industry |
---|---|---|---|
Cabot Corporation | Boston | Telecommunications | Telephone Service Providers and Carriers |
LPL Financial | Boston | Financial Services | Personal Financial Planning and Private Banking |
NSTAR Gas and Electric Company | Westwood | Energy and Utilities | Gas and Electric Utilities |
Cabot Corporation | Boston | Manufacturing | Plastics and Rubber Manufacturing |
BJ's Wholesale Club, Inc. | Westborough | Retail | Department Stores |
American Tower Corporation | Boston | Telecommunications | Telecommunications Equipment and Accessories |
Hologic, Inc. | Bedford | Healthcare, Pharmaceuticals and Biotech | Medical Devices |
Global Partners LP | Waltham | Retail | Gasoline Stations |
Northeast Utilities | Boston | Energy and Utilities | Gas and Electric Utilities |
Liberty Mutual Holding Company | Boston | Financial Services | Insurance and Risk Management |
Staples Inc. | Framingham | Computers and Electronics | Office Machinery and Equipment |
Thermo Fisher Scientific Inc. | Waltham | Healthcare, Pharmaceuticals and Biotech | Medical Devices |
Hanover Insurance Group, Inc. | Worcester | Financial Services | Insurance and Risk Management |
The TJX Companies, Inc. | Framingham | Retail | Department Stores |
Iron Mountain, Inc. | Boston | Software and Internet | Data Analytics, Management and Storage |
Massachusetts Mutual Financial Group | Springfield | Financial Services | Insurance and Risk Management |
Beacon Roofing Supply, Inc. | Peabody | Manufacturing | Concrete, Glass, and Building Materials |
Raytheon Company | Waltham | Software and Internet | Software |
Analog Devices, Inc. | Norwood | Computers and Electronics | Consumer Electronics, Parts and Repair |
Biogen Idec Inc. | Weston | Healthcare, Pharmaceuticals and Biotech | Biotechnology |
Boston Scientific Corporation | Natick | Healthcare, Pharmaceuticals and Biotech | Medical Supplies and Equipment |
PerkinElmer, Inc. | Waltham | Computers and Electronics | Instruments and Controls |
State Street Corporation | Boston | Financial Services | Trust, Fiduciary, and Custody Activities |
EMC Corporation | Hopkinton | Computers and Electronics | Networking Equipment and Systems |
training details locations, tags and why hsg
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 Massachusetts 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.
- Discover tips and tricks about Ajax programming
- Get your questions answered by easy to follow, organized Ajax experts
- Get up to speed with vital Ajax 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…