Python Programming Training Classes in Training/New Orleans,

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 Training/New Orleans 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 Training/New Orleans: Python Programming Training

We offer private customized training for groups of 3 or more attendees.
Upcoming Instructor Led Online and Public Python Programming Training Classes
Python for Scientists Training/Class 4 August, 2025 - 8 August, 2025 $1750
HSG Training Center 1312 17th Street, Unit #2502
Denver, CO 80203 (303)377-6176
Hartmann Software Group Training Registration

Python Programming Training Catalog

cost: $ 3length: 1390 day(s)
Python continues to be a popular programming language, perhaps owing to its easy learning curve, small code footprint, and versatility for business, web, and scientific uses. Python is useful for developing custom software tools, applications, web services, and cloud applications. In this course, you'll build upon your basic Python skills, learning more advanced topics such as object-ori ...
cost: $ 1290length: 3 day(s)
The focus will be on advanced data processing and the use of scientific libraries (e.g. numPy, Panda, SciPy, Jupyter Notebooks, etc.) ...
cost: $ 1190length: 3 day(s)
In this Python training course, students already familiar with Python programming will learn advanced Python techniques such as: IPython Notebook; the Collections module; mapping and filtering; lamba functions; advanced sorting; working with regular expressions; working with databases, CSV files, JSON and XML; writing object-oriented code; testing and debugging; and learning about Unicode and ...
cost: $ 1290length: 4 day(s)
In this Python training course, students already familiar with Python programming will learn advanced Python techniques such as IPython Notebook, the Collections module, mapping and filtering, lamba functions, advanced sorting, writing object-oriented code, testing and debugging, NumPy, pandas, matplotlib, regular expressions, Unicode, text encoding and working with databases, CSV files, JSON and ...
cost: $ 1190length: 3 day(s)
This three-day course provides the student with the knowledge to create and run Python scripts that include Python-specific data structures, function, modules, and classes. ...
cost: $ 1190length: 3 day(s)
This course provides an overview of the basic to advanced features of the R programming language. It is presented as a combination of lectures and hands-on exercises. Course Topics: ... Data Science Basics ... R Language Basics ... Intermediate R ... Charting and Graphing ... Statistical Processing ... Introduction to Text Analytics and the tm Package ... Introduction to Collaborative Filtering .. ...
cost: $ 1290length: 4 day(s)
This 4 day course picks up where Introduction to Python 3 leaves off, covering some topics in more detail, and adding many new ones, with a focus on enterprise development. This is a hands-on programming class. All concepts are reinforced by informal practice during the lecture followed by lab exercises. Many labs build on earlier labs, which helps students retain the earlier material. ...
cost: $ 1290length: 4 day(s)
This four day course leads the student from the basics of writing and running Python scripts to more advanced features such as file operations, regular expressions, working with binary data, and using the extensive functionality of Python modules. Extra emphasis is placed on features unique to Python, such as tuples, array slices, and output formatting. This is a hands-on programming class. All ...
cost: $ 1890length: 4 day(s)
This course introduces the Apache Spark distributed computing engine, and is suitable for developers, data analysts, ...
cost: $ 1090length: 3 day(s)
This course introduces the Apache Spark distributed computing engine, and is suitable for developers, data analysts, ...
cost: $ 1790length: 3 day(s)
This class employs the Python modules Matplotlib, Scipy and Numpy, Pandas, Sklearn and the IPython to explore a variety of different Machine Learning algorithms. Students will gain an in depth knowledge of Advanced Python constructs and a basic understanding of Machine Learning. ...
cost: $ 790length: 2 day(s)
This is a rapid introduction to NumPy, pandas and matplotlib for experienced Python programmers who are new to those libraries. Students will learn to use NumPy to work with arrays and matrices of numbers; learn to work with pandas to analyze data; and learn to work with matplotlib from within pandas. ...
cost: $ 1690length: 4 day(s)
This is a 4 - day course that provides a ramp - up to using Python for scientific and mathematical computing. Starting with the basics, it progresses to the most important Python modules for working with data, from arrays, to statistics, to plotting result s. The material is geared ...
cost: $ 1750length: 5 day(s)
This is a 5 - day course that provides a ramp - up to using Python for data science/machine learning. Starting with the basics, it progresses to the most important Python modules for working with data, from arrays, to statistics, to plotting results. The material is geared towards data scientists and engineers. This is an intense, hands - on, programming class. All concepts are reinforced by ...
cost: $ 1290length: 4 day(s)
This course begins with an abbreviated primer on Python (language syntax, data structures, basic data processing, Python functions, modules and classes). The remainder of the course covers open source Python tools relevant to solving your day-to-day financial programming problems. Specific topics addressed include: array computation and mathematics with NumPy; statistical computation with SciPy; ...
cost: $ 1750length: 5 day(s)
This is a 5 - day course that provides a ramp - up to using Python for scientific and mathematical computing. Starting with the basics, it progresses to the most important Python modules for working with data, from arrays, to statistics, to plotting result s. The material is geared towards scientists and engineers. This is an intense, hands - on, programming class. All concepts are reinforced by ...
cost: $ 1290length: 4 day(s)
This four day course leads the student from the basics of writing and running Python scripts to more advanced features such as file operations, regular expressions, working with binary data, and using the extensive functionality of Python modules. Extra emphasis is placed on features unique to Python, such as tuples, array slices, and output formatting. This is a hands-on programming class. All ...
cost: $ 790length: 2 day(s)
This two day course covers a handful of various Python advanced topics including high level data structures, network programming, writing GUI's in Python, and CGI programming. This course is particularly well suited for programmers who are building application frameworks, integrating Python with other software, or using Python for distributed computing. ...
cost: $ 1290length: 4 day(s)
This 4 day course picks up where Python I leaves off, covering some topics in more detail, and adding many new ones, with a focus on enterprise development. This is a hands-on programming class. All concepts are reinforced by informal practice during the lecture followed by lab exercises. Many labs build on earlier labs, which helps students retain the earlier material. Audience: Advanced users, ...

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Gain insight and ideas from students with different perspectives and experiences.

Blog Entries publications that: entertain, make you think, offer insight

When you think about the black market, I’m sure the majority of you will think of prohibition days.  When alcohol was made illegal, it did two things: It made the bad guys more money, and it put the average joe in a dangerous position while trying to acquire it.  Bring in the 21stcentury. Sure, there still is a black market… but come on, who is afraid of mobsters anymore? Today, we have a gaming black market. It has been around for years, but will it survive? With more and more games moving towards auction houses, could game companies “tame” the gaming black market?

In the old days of gaming on the internet, we spent most of our online time playing hearts, spades… whatever we could do while connected to the internet. As the years went by, better and better games came about. Then, suddenly, interactive multiplayer games came into the picture. These interactive games, mainly MMORPGS, allowed for characters to pick up and keep randomly generated objects known as “loot”. This evolution of gaming created the black market.

In the eyes of the software companies, the game is only being leased/rented by the end user. You don’t actually have any rights to the game. This is where the market becomes black.  The software companies don’t want you making money of “virtual” goods that are housed on the software or servers of the game you are playing on.  The software companies, at this point, started to get smarter.

Where there is a demand…

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.

One of the most recent updates to the iPhone, and more specifically the operating system that is packaged with the iPhone, iOS, brought one of the most fantastic and phenomenal updates ever: an update to Maps. Maps has been used as an application that provides an easy way to find routes, and (obviously) maps about certain areas, businesses in the local vicinity, and also leaving pins on favorited locations, or pins where you have explored, and for many other reasons. However, although Maps has always been a great way to travel with, it has always been redundant to travel with, also. When you used Maps a while ago, you had to route your map, and then manually click each next button as you reached each turn or freeway exit, and the like. So, if you had to turn left on a certain street, you had to tell your phone you had done so, so it would give you the next directions. As a result, it could become very dangerous to always have your phone out, looking at it, while you are on a high-speed freeway. But, the newest update solved that, and brought a great amount of new features.

Using Maps GPS

Using Maps is as easy as it gets. Most of the time, when you are using Maps, you are using it to search for a location, and finding a way to get there. To start off, let’s search for the nearest mall, and routes to get there. Simply search a nearby mall you know about, or search the general word “mall” by tapping on the top text box, and typing in mall, and searching. Pins will drop down on the screen, and locating the mall by zooming into certain streets and locations will help you find the mall you want. Once you find the mall you desire to go to, click on the blue arrow, and scroll down, and tap on the button that says “Directions To Here.”

 

As a result of tapping on that particular button, a new window should show up asking where your starting location is. On default, this location is your current location; if it is anything else, simply type in the starting location into the top address bar, such as your house. Once you are ready to go, tap on route, and you should be ready to go. Well, not exactly. One of the best features that has been implemented in the new system is suggested routes, and alternative routes. If you don’t like to drive on certain streets, or roads, the system provides you with different methods to get to your destination, which may avoid a road you don’t feel like driving on that certain day, or time, or you simply don’t want to take the freeway. It’s all okay, as Maps provides you with many different routes to take. Once you find the route you want (by tapping on the certain route’s outline), click start, and you should be ready to go. Make sure you turn up your volume so you can hear the directions!

Maps for Alternative Transportation

The Context Of Design Thinking And Its Application In Employee Skill Training

Design thinking is a crucial pillar in today’s problem-solving imperatives. In fact, it is being pursued as a unit course in various institutions across the globe, thus underlying its importance in aiding objective human thinking. It’s not a specific property for designers. Far from it, it has emerged as an innovative solution-seeking tool for all great inventors and innovators.
 
By description, it is a design methodology used for tackling complex problems that are virtually unknown or ill-defined, through a careful evaluation of the human needs involved, understandably restructuring the problem, by brainstorming to create many solutions, and by adopting a direct approach in testing and prototyping. It helps us come up with creative ways to solve nagging problems that stem from us and especially in the workplace setting.
 
The ‘overwhelmed/overburdened employee’ is a common term in HR offices across many organizations in the world. Employees are faced with a huge challenge in regards to coping with fast-paced technological and office changes in the working environment. This had led to a massive stagnation in productivity, prompting HR heads to look for new ways to reduce their employees’ stress and workload.
 
While evaluating many options, this model of thinking has posed as a helpful tool for HR managers when dealing with their vexed employees. IT training, in particular, has helped shape the productive realms of many companies out there.
 
Let’s explore how this thinking domain can be used to plan employee skill training:
 
Empathize
If you want to show concern for your employees, first empathize with their situation. Seek to understand the needs of the employees deeply, what they lack, what they need, and the challenges that they are likely facing. This will act as the basis of plotting the problem and working on the next phase of solving it.
 
You can collect data in this phase through empathy maps and journey maps. In the latter, you endeavor to steadily track the day-to-day activities and tasks of employees. This is achieved through observations or structured interviews. In turn, it aids in elevating the thinking process.
 
Through empathy maps, you ponder on collected findings and synthesize them keenly. Here, you seek to establish how an employee is thinking, their feelings, and insights into the probable root cause of the problem.
 
Define the Problem
After a comprehensive analysis of the collected data; the problem definition phase should follow. The idea here is to locate the underlying root of the problem concisely. HR should seek to utilize an analysis framework to help address problems affecting the holistic being of all employees. Therefore, each issue would require a list of underlying causes: lack of motivation, lack of knowledge/understanding, or just lack of skill.
 
Once the root cause(s) are clearly defined, a clear problem statement should be drawn up alongside performance goals that are firmly based on actual drivers. 
 
Think Solely About Employee-Based Solutions (iterative learning)
Conventionally, customers are at the heart of every organization’s dealings. They inspire and drive the company’s objectives because they are crucial in profit making. However, employees have greatly suffered while working ‘behind the scenes.’ Such situations have led to employees feeling discontent and work under immense pressure, which inevitably leads to underperformance. To avoid this, the experimental learning concept can be utilized by HR offices to engage employees more by creating solutions that directly suit the situations they encounter daily.
 
Here, trainers are removed as the center of focus. An iterative ‘reflection’ cycle is established to tap continuous employee feedback in a bid to sharpen their skills. This method helps employees adapt to new technology through a well established IT consulting network. In the long run, employees don’t forget how they handled a particular problem, and this effectively raises a firm’s productivity.
 
Support Employee Tasks with Simple Technology (Ideate)
The simplest way to support employee-working experience is by not sidelining them unprepared with changing technology processes. As an HR Manager, fully engage your employees when transitioning to new tech by making use of effective training or consulting services. Specific training needs can be assessed and addressed within the organization or with a third party industry expert. 
 
According to Deloitte’s 2016 Global Human Capital Trends Report, design thinking was isolated as crucial in crafting the employee experience. 79% of those interviewed identified it as imperative. However, almost a similar percentage agreed that a lot of compliance programs and training are still based on outdated modes of meetings and processes.
 
The report also recommended the need to put necessary consideration on employees through proper IT training for far colossal efficiency. One way to make this work is by drawing a connected roadmap of skills and information needed at certain work intervals. Shedding off overwhelming and irrelevant amounts of data for new employees is vital in retaining their concentration and output. What’s more, a customizable app can help employees undertake appropriate tasks at the specified time, thus resulting in higher revenue for the long term.
 
Implementing an Intuitive Tech Learning Approach (Ideate)
The basis of this argument is that not every employee is the same. All of them are differently gifted and shouldn’t be forced to use one inflexible technology or system that doesn’t cater to their individual needs in a buzzing work environment. This mode of critical thinking brings to life personas such that fictive employees representing a defined group of external employees are drawn up. In this set-up, the personas should be able to learn and work efficiently within their own small environment while quickly utilizing their own skill set and the required information to make things work.
 
An HR manager can replicate this working scenario through the use of role-plays. This can be achieved by conducting short-term soft skills training sessions to sharpen their ability to handle similar situations. In the case of new technology, video-replays on how to use it in a one-on-one customer scenario can help relieve the pressure and spur the employee to be more productive.
 
Prototype and Testing
Here, the HR Manager should run a couple of tests to ensure whether the desired model of skill training is working. One way to get started is by crafting a simple prototype of the technology required, probably as a single module to establish its viability.
 
The new technology should be vigorously tested during prototyping to pinpoint any leaks, disjoints, or performance issues. Structured walkthroughs can be implemented to help employees navigate the solution through proper IT training sessions.
 
What’s more, HR should conduct sessions to get the employees’ views, emotions, or feelings regarding the new solution. In case of any cause for concern, the prototype should be improved until it meets the intermediate needs of its users.
 
Iterations are also a common occurrence in this phase. Refinements and alterations are curved out to make sure that the final thing suits every employee in some understandable capacity.
 
Wrapping Up
Design thinking is crucial in any organizational setting in making sure that employees sync properly with the technology in place. This will go a long way in improving their productivity.

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 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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