Python Programming Training Classes in Buffalo, New York
Training Suggestions from the Experts
An Experienced Python developer must have
... an understanding of the following topics: Map, Reduce and Filter, Numpy, Pandas, MatplotLib, File handling and Database integration. All of these requirements assume a solid grasp of Python Idioms that include iterators, enumerators, generators and list comprehensions.
To quickly get up to speed, we suggest you enroll in the following classes: Beginning Python and Advanced Python 3
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Learn Python Programming in Buffalo, NewYork 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 Python Programming related training offerings in Buffalo, New York: Python Programming Training
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24 June, 2024 - 28 June, 2024 - Ruby Programming
29 April, 2024 - 1 May, 2024 - RED HAT SATELLITE V6 (FOREMAN/KATELLO) ADMINISTRATION
24 June, 2024 - 27 June, 2024 - RED HAT ENTERPRISE LINUX V7 DIFFERENCES
13 May, 2024 - 15 May, 2024 - Docker
29 April, 2024 - 1 May, 2024 - See our complete public course listing
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If you are a software developer looking for a slight change, then you have several options available. The process of software development requires multiple types of resources. A software developer performs the construction and delivery of software programs. An experienced software developer gains business knowledge, analytical skills, team management skills and communication skills. All of these skills can be used to divert your development career into a related and slightly varied role in software development.
Production Support Engineer
A developer can easily switch to the role of a Production Support Engineer. This role entails working with customers and technical teams to report, track and resolve production issues. For some, this might be an exciting opportunity to see the software application from a user’s point of view.
Engineering Manager
If you have experience in leading a team of developers, you could take the role of an Engineering Manager. This role requires managing a bigger team of developers. The Engineering Manager is also responsible for ensuring the delivery of software products and meeting the deadlines set by Product Management. You will get the opportunity to develop software, if you are inclined to do so. However, you will also take new responsibilities such as performance management, infrastructure management and vendor management.
Partner Engineer
This role requires some amount development as well as coordination with partners such as vendors and customers. The job of a Partner Engineer is to act as a middleman to help the integration of services with partners via application programming interfaces (APIs). For example, companies such as Twitter and Facebook employ Partner Engineers to integrate their services with customer websites.
Systems Analyst
Many companies offer developers with an opportunity to switch to Analyst roles. This role involves analyzing system requirements by working with business and technical teams. Many Systems Analysts also work on reviewing, developing and testing application code. This role is suitable for developers with strong analytical skills.
QA Automation Engineer
This role is responsible for automating test cases with the help of tools such as Java, Ruby and Selenium. This role is ideal for people with prior development experience. QA Automation Engineers work with developers and product managers to define test cases, and to automate and run the test cases. In this role, you will get the opportunity to work on back-end as well as front-end automation tasks. You will remain in touch with programming languages as well as database technologies.
Database Analyst
Most people gain significant amount of knowledge on databases while working as a software developer. This will help you to switch your role into a Database Analyst. A Database Analyst analyzes database issues, reviews performance problems, writes database scripts and runs queries. This role also provides a path to become a Database Administrator, if you are interested.
Deployment Engineer
This role is responsible for deploying the code developed by software engineers. You may not be developing application programs in this role. However, you will be responsible for code deployments, pushing the code into test and production environments.
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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.
Back in the late 90's, there were a number of computer scienctists claiming to know java in hopes of landing a job for $80k+/year. In fact, I know a woman you did just that: land a project management position with a large telecom and have no experience whatsoever. I guess the company figured that some talent was better than no talent and that, with some time and training, she would be productive. Like all gravey train stories, that one, too, had an end. After only a year, she was given a pink slip.
Not only are those days over, job prospects for the IT professional have become considerably more demanding. Saying you know java today is like saying you know that you have expertise with the computer mouse; that's nice, but what else can you do. This demand can be attributed to an increase in global competition along with the introduction of a number of varied technologies. Take .NET, Python, Ruby, Spring, Hibernate ... as an example; most of them, along with many others, are the backbone of the IT infrastructure of most mid-to-large scale US corporations. Imagine the difficulty in finding the right mix of experience, knowledge and talent to support, maintain and devlop with such desparate technologies.
Well imagine no more. According to the IT Hiring Index and Skills Report, seventy percent of CIO’s said it's challenging to find skilled professionals today. If we add the rapid rate of technological innovation into the mix of factors affecting more businesses now than ever before, it’s understandable that the skill gap is widening. Consider this as well: the economic downturn has forced many potential retires to remain in the workforce. This is detailed in MetLife's annual Study of Employee Benefits which states that“more than one-third of surveyed Baby Boomers (35%) say that as a result of economic conditions they plan to postpone their retirement.” How then does the corporation hire new, more informed/better educated talent? Indeed, the IT skills gap is ever widening.
In order to compensate for these skill discrepencies, many firms have resorted to hire the ideal candidates by demanding they possess a christmas wish list of expertise in a variety of different IT disciplines. It would not be uncommon that such individuals have a strong programming background and are brilliant DBA's. What about training? That is certainly a way to diminish the skills gap.
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:
Tech Life in New York
Company Name | City | Industry | Secondary Industry |
---|---|---|---|
NYSE Euronext, Inc. | New York | Financial Services | Securities Agents and Brokers |
Anderson Instrument Company Inc. | Fultonville | Manufacturing | Tools, Hardware and Light Machinery |
News Corporation | New York | Media and Entertainment | Radio and Television Broadcasting |
Philip Morris International Inc | New York | Manufacturing | Manufacturing Other |
Loews Corporation | New York | Travel, Recreation and Leisure | Hotels, Motels and Lodging |
The Guardian Life Insurance Company of America | New York | Financial Services | Insurance and Risk Management |
Jarden Corporation | Rye | Manufacturing | Manufacturing Other |
Ralph Lauren Corporation | New York | Retail | Clothing and Shoes Stores |
Icahn Enterprises, LP | New York | Financial Services | Investment Banking and Venture Capital |
Viacom Inc. | New York | Media and Entertainment | Media and Entertainment Other |
Omnicom Group Inc. | New York | Business Services | Advertising, Marketing and PR |
Henry Schein, Inc. | Melville | Healthcare, Pharmaceuticals and Biotech | Medical Supplies and Equipment |
Pfizer Incorporated | New York | Healthcare, Pharmaceuticals and Biotech | Pharmaceuticals |
Eastman Kodak Company | Rochester | Computers and Electronics | Audio, Video and Photography |
Assurant Inc. | New York | Business Services | Data and Records Management |
PepsiCo, Inc. | Purchase | Manufacturing | Nonalcoholic Beverages |
Foot Locker, Inc. | New York | Retail | Department Stores |
Barnes and Noble, Inc. | New York | Retail | Sporting Goods, Hobby, Book, and Music Stores |
Alcoa | New York | Manufacturing | Metals Manufacturing |
The Estee Lauder Companies Inc. | New York | Healthcare, Pharmaceuticals and Biotech | Personal Health Care Products |
Avon Products, Inc. | New York | Healthcare, Pharmaceuticals and Biotech | Personal Health Care Products |
The Bank of New York Mellon Corporation | New York | Financial Services | Banks |
Marsh and McLennan Companies | New York | Financial Services | Insurance and Risk Management |
Corning Incorporated | Corning | Manufacturing | Concrete, Glass, and Building Materials |
CBS Corporation | New York | Media and Entertainment | Radio and Television Broadcasting |
Bristol Myers Squibb Company | New York | Healthcare, Pharmaceuticals and Biotech | Biotechnology |
Citigroup Incorporated | New York | Financial Services | Banks |
Goldman Sachs | New York | Financial Services | Personal Financial Planning and Private Banking |
American International Group (AIG) | New York | Financial Services | Insurance and Risk Management |
Interpublic Group of Companies, Inc. | New York | Business Services | Advertising, Marketing and PR |
BlackRock, Inc. | New York | Financial Services | Securities Agents and Brokers |
MetLife Inc. | New York | Financial Services | Insurance and Risk Management |
Consolidated Edison Company Of New York, Inc. | New York | Energy and Utilities | Gas and Electric Utilities |
Time Warner Cable | New York | Telecommunications | Cable Television Providers |
Morgan Stanley | New York | Financial Services | Investment Banking and Venture Capital |
American Express Company | New York | Financial Services | Credit Cards and Related Services |
International Business Machines Corporation | Armonk | Computers and Electronics | Computers, Parts and Repair |
TIAA-CREF | New York | Financial Services | Securities Agents and Brokers |
JPMorgan Chase and Co. | New York | Financial Services | Investment Banking and Venture Capital |
The McGraw-Hill Companies, Inc. | New York | Media and Entertainment | Newspapers, Books and Periodicals |
L-3 Communications Inc. | New York | Manufacturing | Aerospace and Defense |
Colgate-Palmolive Company | New York | Consumer Services | Personal Care |
New York Life Insurance Company | New York | Financial Services | Insurance and Risk Management |
Time Warner Inc. | New York | Media and Entertainment | Media and Entertainment Other |
Cablevision Systems Corp. | Bethpage | Media and Entertainment | Radio and Television Broadcasting |
CA Technologies, Inc. | Islandia | Software and Internet | Software |
Verizon Communications Inc. | New York | Telecommunications | Telephone Service Providers and Carriers |
Hess Corporation | New York | Energy and Utilities | Gasoline and Oil Refineries |
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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 New York 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 Python Programming programming
- Get your questions answered by easy to follow, organized Python Programming experts
- Get up to speed with vital Python 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…