Python Programming Training Classes in Philadelphia, Pennsylvania
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
Call for Details: 303.377.6176
Learn Python Programming in Philadelphia, Pennsylvania 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 Philadelphia, Pennsylvania: Python Programming Training
Python Programming Training Catalog
Course Directory [training on all levels]
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- RED HAT ENTERPRISE LINUX AUTOMATION WITH ANSIBLE
15 September, 2025 - 18 September, 2025 - Object-Oriented Programming in C# Rev. 6.1
15 September, 2025 - 19 September, 2025 - LINUX SHELL SCRIPTING
3 September, 2025 - 4 September, 2025 - RED HAT ENTERPRISE LINUX SYSTEMS ADMIN II
18 August, 2025 - 21 August, 2025 - Enterprise Linux System Administration
28 July, 2025 - 1 August, 2025 - See our complete public course listing
Blog Entries publications that: entertain, make you think, offer insight
Before we go to the list do you know what makes software skills most sought-after and hence more valuable than most of the other job skills? It is simply because unlike any other skill, software skills are global and are not at all location specific! With the evolution and penetration of internet technologies, the physical distance between the client and service provider hardly matters. So, with more advancement in technology, it is indeed going to rain opportunities on the right skilled developer. I’ll take the liberty to reproduce the following quotes here to prove my claims statistically:
Demand for “cloud-ready” IT workers will grow by 26 percent annually through 2015, with as many as 7 million cloud-related jobs available worldwide.
---IDC White Paper (November 2012).
In the United States, the IT sector is experiencing modest growth of IT jobs in general, with the average growth in IT employment between 1.1 and 2.7 percent per year through 2020.
---U.S. Bureau of Labor Statistics.
Python programming language is general purpose open source programming language. One of its main features is flexibility and ease of use. Python has a variety of useful set of utilities and libraries for data processing and analytical tasks. Currently due to the rise in demand of big data processing python has grown in popularity because its features are easy to use which are core to the processing of huge chunks of information.
Guido Van Rossum, the pioneer of python, introduced python in the year 1980 and then implemented it in 1989. The intention behind the development of python was to make it open source language that can also be used for commercial projects. The fundamental principle of python is to write the code that is easy to use, highly readable and embrace writing fewer lines of code for achieving a particular task. One of the most popular standard libraries which have ready to use tools for performing a various work is Python Package Index. It was introduced in January 2016 and contains more than 72,000 packages for third-party software usage.
Python plays a critical role in linking data to customers. Recently python has found few entry barriers and many people have had access to have experienced the power of python in the past. So, what makes python the best language for big data analytics?
One of the reasons to choose python is that python ecosystem is very vibrant, the ratings at Redmonk are a proof of the strength python community. The Redmonk ranking is based on StackOverflow discussions and contribution made in Github to determine the popularity of programming language on the method used by users to ask questions about Python and the number of the open source projects contributions.
Many of us who have iPhones download every interesting app we find on the App Store, especially when they’re free. They can range from a simple payment method app, to a game, to a measurement tool. But, as you may have noticed, our phones become cluttered with tons of pages that we have to swipe through to get to an app that we need on demand. However, with an update by Apple that came out not so long ago, you are able to group your applications into categories that are easily accessible, for all of you organization lovers.
To achieve this grouping method, take a hold of one of the applications you want to categorize. Take a game for example. What you want to do is press your finger on that particular application, and hold it there until all of the applications on the screen begin to jiggle. This is where the magic happens. Drag it over to another game application you want to have in the same category, and release. Your applications should now be held in a little container on your screen. However, a step ago, if you did not have another game application on the same screen, and since you can’t swipe, try putting the held game application on any application you choose, and simply remove that extra application from the list, after moving over another gaming application from a different page.
Creating an enum in Python prior to Python 3.4 was accomplished as follows:
def enum(**enums)::
return type('Enum',(),enums)
then use as:
Animals=enum(Dog=1,Cat=2)
and accessed as:
Animals.Dog
The new version can be created as follows:
from enum import Enum
class Animal(Enum):
Dog=1
Cat=2
Tech Life in Pennsylvania
Company Name | City | Industry | Secondary Industry |
---|---|---|---|
The Hershey Company | Hershey | Manufacturing | Food and Dairy Product Manufacturing and Packaging |
Crown Holdings, Inc. | Philadelphia | Manufacturing | Metals Manufacturing |
Air Products and Chemicals, Inc. | Allentown | Manufacturing | Chemicals and Petrochemicals |
Dick's Sporting Goods Inc | Coraopolis | Retail | Sporting Goods, Hobby, Book, and Music Stores |
Mylan Inc. | Canonsburg | Healthcare, Pharmaceuticals and Biotech | Pharmaceuticals |
UGI Corporation | King Of Prussia | Energy and Utilities | Gas and Electric Utilities |
Aramark Corporation | Philadelphia | Business Services | Business Services Other |
United States Steel Corporation | Pittsburgh | Manufacturing | Manufacturing Other |
Comcast Corporation | Philadelphia | Telecommunications | Cable Television Providers |
PPL Corporation | Allentown | Energy and Utilities | Gas and Electric Utilities |
SunGard | Wayne | Computers and Electronics | IT and Network Services and Support |
WESCO Distribution, Inc. | Pittsburgh | Energy and Utilities | Energy and Utilities Other |
PPG Industries, Inc. | Pittsburgh | Manufacturing | Chemicals and Petrochemicals |
Airgas Inc | Radnor | Manufacturing | Chemicals and Petrochemicals |
Rite Aid Corporation | Camp Hill | Retail | Grocery and Specialty Food Stores |
The PNC Financial Services Group | Pittsburgh | Financial Services | Banks |
Universal Health Services, Inc. | King Of Prussia | Healthcare, Pharmaceuticals and Biotech | Hospitals |
Erie Insurance Group | Erie | Financial Services | Insurance and Risk Management |
Pierrel Research | Wayne | Healthcare, Pharmaceuticals and Biotech | Biotechnology |
Unisys Corporation | Blue Bell | Computers and Electronics | IT and Network Services and Support |
Lincoln Financial Group | Radnor | Financial Services | Insurance and Risk Management |
AmerisourceBergen | Wayne | Healthcare, Pharmaceuticals and Biotech | Pharmaceuticals |
Sunoco, Inc. | Philadelphia | Manufacturing | Chemicals and Petrochemicals |
CONSOL Energy Inc. | Canonsburg | Energy and Utilities | Gas and Electric Utilities |
H. J. Heinz Company | Pittsburgh | Manufacturing | Food and Dairy Product Manufacturing and Packaging |
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 Pennsylvania 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…