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
Upcoming Instructor Led Online and Public Python Programming Training Classes
| Python for Scientists Training/Class | 8 December, 2025 - 12 December, 2025 | $1750 |  |
Python Programming Training Catalog
subcategories
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: $ 1250length: 2 day(s)
This course employs many advanced Python libraries to provide the student with a solid foundation of Machine Learning concepts and practices.
...
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.
- Linux Fundaments GL120
22 September, 2025 - 26 September, 2025 - OpenShift Fundamentals
6 October, 2025 - 8 October, 2025 - Fast Track to Java 17 and OO Development
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Blog Entries publications that: entertain, make you think, offer insight
To add to a python dictionary is very easy. First create a dictionary, and then associate a key with a value.
a = {'cat',"furry thing"}
a['dog']="typically likes to run and is very loyal"
print a
Here is what is printed:
{'cat':'furry thing', 'dog':'typically likes to run and is very loyal'}
Attempting to create an intelligent entry about Linux for such a wide ranging audience is a bit like trying to compare a presentation on quantum mechanics for physicists while being readable by somebody with a junior high school education.
If you are a *NIX expert, then I suggest you keep on reading so you know how to explain this world to mere mortals.
I called it *nix for a reason. It represents a family of thinking. It is not unlike the difference between the language C and C++. Are there differences between the two? Certainly. And it is not like the difference between COBOL and C.
Years ago when I ran my own vo-tech school I would teach the students there are only two things in life. MS and *NIX. A friend of mine, a genius developer in her own right was aghast.
Wondering why Cisco is teaching network engineers Python in addition to their core expertise?
Yes, arguably there are many other tools available to use to automate the network without writing any code. It is also true that when code is absolutely necessary, in most companies software developers will write the code for the network engineers. However, networks are getting progressively more sophisticated and the ability for network engineers to keep up with the rate of change, scale of networks, and processing of requirements is becoming more of a challenge with traditional methodologies.
Does that mean that all network engineers have to become programmers in the future? Not completely, but having certain tools in your tool belt may be the deciding factor in new or greater career opportunities. The fact is that current changes in the industry will require Cisco engineers to become proficient in programming, and the most common programming language for this new environment is the Python programming language. Already there are more opportunities for those who can understand programming and can also apply it to traditional networking practices.
Cisco’s current job boards include a search for a Sr. Network Test Engineer and for several Network Consulting Engineers, each with "competitive knowledge" desired Python and Perl skills. Without a doubt, the most efficient network engineers in the future will be the ones who will be able to script their automated network-related tasks, create their own services directly in the network, and continuously modify their scripts.
Whether you are forced to attend or are genuinely interested in workshops or courses that cover the importance of learning topics related to programmable networks such as Python, the learning curve at the very least will provide you with an understanding of Python scripts and the ability to be able to use them instead of the CLI commands and the copy and paste options commonly used. Those that plan to cling to their CLI will soon find themselves obsolete.
As with anything new, learning a programming language and using new APIs for automation will require engineers to learn and master the skills before deploying widely across their network. The burning question is where to start and which steps to take next?
In How Do I Get Started Learning Network Programmability? Hank Preston – on the Cisco blog page suggest a three phase approach to diving into network programmability.
“Phase 1: Programming Basics
In this first phase you need to build a basic foundation in the programmability skills, topics, and technologies that will be instrumental in being successful in this journey. This includes learning basic programming skills like variables, operations, conditionals, loops, etc. And there really is no better language for network engineers to leverage today than Python. Along with Python, you should explore APIs (particularly REST APIs), data formats like JSON, XML, and YAML. And if you don’t have one already, sign up for a GitHub account and learn how to clone, pull, and push to repos.
Phase 2: Platform Topics
Once you have the programming fundamentals squared away (or at least working on squaring them away) the time comes to explore the new platforms of Linux, Docker, and “the Cloud.” As applications are moving from x86 virtualization to micro services, and now serverless, the networks you build will be extending into these new areas and outside of traditional physical network boxes. And before you can intelligently design or engineer the networks for those environments, you need to understand how they basically work. The goal isn’t to become a big bushy beard wearing Unix admin, but rather to become comfortable working in these areas.
Phase 3: Networking for Today and Tomorrow
Now you are ready to explore the details of networking in these new environments. In phase three you will dive deep into Linux, container/Docker, cloud, and micro service networking. You have built the foundation of knowledge needed to take a hard look at how networking works inside these new environments. Explore all the new technologies, software, and strategies for implementing and segmenting critical applications in the “cloud native” age and add value to the application projects.”
Community resources:
GitHub’s, PYPL Popularity of Programming Language lists Python as having grown 13.2% in demand in the last 5 years.
Python in the June 2018 TIOBE Index ranks as the fourth most popular language behind Java, C and C++.
Despite the learning curve, having Python in your tool belt is without a question a must have tool.
As part of our Java Tutorial series, listed here are all the files you need in order to create a java socket message application.
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the hartmann software group advantage
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.
- We have provided software development and other IT related training to many major corporations 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…
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