Python Programming Training Classes in Blaine, Minnesota
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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 Blaine, Minnesota 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 Blaine, Minnesota: Python Programming Training
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Blog Entries publications that: entertain, make you think, offer insight
I suspect that many of you are familiar with the term "hard coding a value" whereby the age of an individual or their location is written into the condition (or action) of a business rule (in this case) as shown below:
if customer.age > 21 and customer.city == 'denver'
then ...
Such coding practices are perfectly expectable provided that the conditional values, age and city, never change. They become entirely unacceptable if a need for different values could be anticipated. A classic example of where this practice occurred that caused considerable heartache in the IT industry was the Y2K issue where dates were updated using only the last 2 digits of a four digit number because the first 2 digits were hard-coded to 19 i.e. 1998, 1999. All was well provided that the date did not advance to a time beyond the 1900’s since no one could be certain of what would happen when the millennia arrived (2000). A considerably amount of work (albeit boring) and money, approximately $200 billion, went into revising systems by way of software rewrites and computer chip replacements in order to thwart any detrimental outcomes. It is obvious how a simple change or an assumption can have sweeping consequences.
You may wonder what Y2K has to do with Business Rule Management Systems (BRMS). Well, what if we considered rules themselves to be hard-coded. If we were to write 100s of rules in Java, .NET or whatever language that only worked for a given scenario or assumption, would that not constitute hard-coded logic? By hard-coded, we obviously mean compiled. For example, if a credit card company has a variety of bonus campaigns, each with their own unique list of rules that may change within a week’s time, what would be the most effective way of writing software to deal with these responsibilities?
Static variables in Python are created as part of the class declaration. By contrast, instance variables are created as part of a regular method and not a classmethod or staticmethod.
class A:
i=3 # static variable
def dosomethingregularmethod(self):
self.k=4 # instance variable
# to access static variables
A.i
As developers we are overwhelmed with the number of language choices made available to us. It wasn't so long ago that C and it's object oriented sibling C++ where the mainstay of any programmer. Now though we have languages which make certain tasks so easy and simple that we simply cannot afford to ignore them.
In this article we are going to look at the overall differences between Python, Perl and TCL. All formidable and worthy in their own right, but each one has been designed to suit a specific programming need.
1)– Perl is the most mature out of the three languages we are looking at in this article. It was originally designed for processing textual data, and it does so extremely well. Of course Perl has grown over time and can be used for a multitude of different programming scenarios.
A business rule is the basic unit of rule processing in a Business Rule Management System (BRMS) and, as such, requires a fundamental understanding. Rules consist of a set of actions and a set of conditions whereby actions are the consequences of each condition statement being satisfied or true. With rare exception, conditions test the property values of objects taken from an object model which itself is gleaned from a Data Dictionary and UML diagrams. See my article on Data Dictionaries for a better understanding on this subject matter.
A simple rule takes the form:
if condition(s)
then actions.
An alternative form includes an else statement where alternate actions are executed in the event that the conditions in the if statement are not satisfied:
if condition(s)
then actions
else alternate_actions
It is not considered a best prectice to write rules via nested if-then-else statements as they tend to be difficult to understand, hard to maintain and even harder to extend as the depth of these statements increases; in other words, adding if statements within a then clause makes it especially hard to determine which if statement was executed when looking at a bucket of rules. Moreoever, how can we determine whether the if or the else statement was satisfied without having to read the rule itself. Rules such as these are often organized into simple rule statements and provided with a name so that when reviewing rule execution logs one can determine which rule fired and not worry about whether the if or else statement was satisfied. Another limitation of this type of rule processing is that it does not take full advantage of rule inferencing and may have a negative performance impact on the Rete engine execution. Take a class with HSG and find out why.
Rule Conditions
Tech Life in Minnesota
Company Name | City | Industry | Secondary Industry |
---|---|---|---|
The Affluent Traveler | Saint Paul | Travel, Recreation and Leisure | Travel, Recreation, and Leisure Other |
Xcel Energy Inc. | Minneapolis | Energy and Utilities | Gas and Electric Utilities |
Thrivent Financial for Lutherans | Minneapolis | Financial Services | Personal Financial Planning and Private Banking |
CHS Inc. | Inver Grove Heights | Agriculture and Mining | Agriculture and Mining Other |
Hormel Foods Corporation | Austin | Manufacturing | Food and Dairy Product Manufacturing and Packaging |
St. Jude Medical, Inc. | Saint Paul | Healthcare, Pharmaceuticals and Biotech | Medical Devices |
The Mosaic Company | Minneapolis | Agriculture and Mining | Mining and Quarrying |
Ecolab Inc. | Saint Paul | Manufacturing | Chemicals and Petrochemicals |
Donaldson Company, Inc. | Minneapolis | Manufacturing | Tools, Hardware and Light Machinery |
Michael Foods, Inc. | Minnetonka | Manufacturing | Food and Dairy Product Manufacturing and Packaging |
Regis Corporation | Minneapolis | Retail | Retail Other |
Fastenal Company | Winona | Wholesale and Distribution | Wholesale and Distribution Other |
Securian Financial | Saint Paul | Financial Services | Insurance and Risk Management |
UnitedHealth Group | Minnetonka | Financial Services | Insurance and Risk Management |
The Travelers Companies, Inc. | Saint Paul | Financial Services | Insurance and Risk Management |
Imation Corp. | Saint Paul | Computers and Electronics | Networking Equipment and Systems |
C.H. Robinson Worldwide, Inc. | Eden Prairie | Transportation and Storage | Warehousing and Storage |
Ameriprise Financial, Inc. | Minneapolis | Financial Services | Securities Agents and Brokers |
Best Buy Co. Inc. | Minneapolis | Retail | Retail Other |
Nash Finch Company | Minneapolis | Wholesale and Distribution | Grocery and Food Wholesalers |
Medtronic, Inc. | Minneapolis | Healthcare, Pharmaceuticals and Biotech | Medical Devices |
LAND O'LAKES, INC. | Saint Paul | Manufacturing | Food and Dairy Product Manufacturing and Packaging |
General Mills, Inc. | Minneapolis | Manufacturing | Food and Dairy Product Manufacturing and Packaging |
Pentair, Inc. | Minneapolis | Manufacturing | Manufacturing Other |
Supervalu Inc. | Eden Prairie | Retail | Grocery and Specialty Food Stores |
U.S. Bancorp | Minneapolis | Financial Services | Banks |
Target Corporation, Inc. | Minneapolis | Retail | Department Stores |
3M Company | Saint Paul | Manufacturing | Chemicals and Petrochemicals |
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 Minnesota 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…