Python Programming Training Classes in Rochester, New York

Training Suggestions from an Expert

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

Call for Details: 303.377.6176

Learn Python Programming in Rochester, 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 Rochester, New York: Python Programming Training

We offer private customized training for groups of 3 or more attendees.
Rochester  Upcoming Instructor Led Online and Public Python Programming Training Classes
Python II: Advanced Python 3 Training/Class 7 March, 2022 - 8 March, 2022 $790
HSG Training Center
Rochester, New York
Hartmann Software Group Training Registration
Intermediate Python 3.x Training/Class 28 March, 2022 - 31 March, 2022 $1290
HSG Training Center
Rochester, New York
Hartmann Software Group Training Registration

Python Programming Training Catalog

cost: $ 1190length: 3 day(s)

Course Directory [training on all levels]

Upcoming Classes
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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.

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.

 

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Due to the advancements in technology, teens and adults alike can now partake in virtual worlds thanks to video games. Video games are enjoyed as a hobby all over the globe, but some gamers have made it their career with help from the ever-growing e-sport community. This is an inside look at the professional level of gaming from an ex-MLG participant, and what I remember going through when starting to play video games at an elite level.

One of the premiere and most popular leagues within the United States happens to be Major League Gaming or MLG for short. This is a league that usually involves more of the most recent games out, and they create circuits for each major title and its subsequent releases. Two of the most major game circuits within the MLG league were the Halo series and the Call of Duty series, both which happened to be first person shooters (FPS). There were a potential hundred or so teams within each circuit, but much like other competitions, the circuits were ran with winner’s brackets and losers brackets. This means that out of all the teams that would show up to MLG events, about the top eight of each bracket would really be known as the "elite" players. I personally played in the Gears of War circuit at venues like MLG Raleigh and MLG Toronto, and we had very few teams compared to Call of Duty and Halo. The amount of participants at each event usually varies in each circuit based on the popularity of the game being played.

When you win tournaments, the payouts are split between the team members. This means that looking at playing in the MLG for a life career is an ill-advised move. The cost to get to events and buy team passes usually negates the prizes you win most of the time, considering by the time that the prize money is split you are left with about $800 in a popular circuit (Like Call of Duty). The payouts are usually only high in special and certain occasions, one for example being the million dollar showdown that Infinity Ward hosted for Call of Duty: Modern Warfare 3 a couple years back. The way that players that make professional gaming their career get the big money now is by being sponsored by the big companies that back the league like Red Bull and Hot Pockets. MLG players like "Walshy" and "FeaR Moho" were sponsored early on in the league and were able to make a living off of the games they played. I would imagine them getting around $60K in a good year off of sponsors alone. I would go even as far as to say that if you do not have a sponsor in e-sports, you will not be financially successful in the career.

Being an MLG gamer requires passion and understanding for the games. If you just want to make money, then you are better off working at McDonalds.

 

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Many individuals are looking to break into a video game designing career, and it's no surprise. A $9 billion industry, the video game designing business has appeal to gamers and non-gamers alike. High salaries and high rates of job satisfaction are typical in the field.

In order to design video games, however, you need a certain skill set. Computer programming is first on the list. While games are made using almost all languages, the most popular programming language for video games is C++, because of its object-oriented nature and because it compiles to binary. The next most popular languages for games are C and Java, but others such as C# and assembly language are also used. A strong background in math is usually required to learn these languages. Individuals wishing to design games should also have an extensive knowledge of both PCs and Macs.

There are many colleges and universities that offer classes not only in programming but also classes specifically on game design. Some of these schools have alliances with game developing companies, leading to jobs for students upon graduation. Programming video games can be lucrative. The average game designer's salary is $62,500, with $55,000 at the low end and $85,000 at the high end.

Programmers are not the only individuals needed to make a video game, however. There are multiple career paths within the gaming industry, including specialists in audio, design, production, visual arts and business.

Designing a video game can be an long, expensive process. The average budget for a modern multiplatform video game is $18-$28 million, with some high-profile games costing as much as $40 million. Making the game, from conception to sale, can take several months to several years. Some games have taken a notoriously long time to make; for example, 3D Realms' Duke Nukem Forever was announced in April 1997 and did not make it to shelves until July 2011.

Video game programmers have a high level of job satisfaction. In a March 2013 survey conducted by Game Developer magazine, 29 percent of game programmers were very satisfied with their jobs, and 39 percent were somewhat satisfied.

If you're interested in a game development career, now's the time to get moving. Take advantage of the many online resources available regarding these careers and start learning right away.

Tech Life in New York

City The Big Apple is home of two of the world?s largest stock market exchanges, the New York Stock Exchange and NASDAQ. As a leading business center in the United States, New York has more Fortune 500 headquartered companies than any other city. Technology is blossoming in the Big Apple as major internet conglomerates like Google move their offices into ?telecom hotels? such as the 311,000 square feet office space downtown. As in any other city there are pros and cons of living in New York City. For instance, there is so much to do, it?s easy to get around with the transit system, it?s safe, convenient, and has plenty of job opportunities. On the other hand, it can be overwhelmingly expensive, overcrowded, a bit impersonal and fast paced. New Yorkers enjoy Central Park, multi cultural activities and food, theatre, film festivals, farmers markets, fashion and anything else they could possibly think of...it?s all there.
One of the reasons people stop learning is that they become less and less willing to risk failure. ~ John W. Gardner
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Software developers near Rochester 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 New York that offer opportunities for Python Programming developers
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

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 New York 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 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…
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