Chicago is a city with one of the world's most diverse economies, hosting more than 400 major company headquarters that include 35 of the Fortune 500 companies and generating more than $600 billion of its gross regional product. The city is one of the leading areas for information technology, risk management, and manufacturing, among others.>
With almost 3 million residents, eight major sports teams, 7,300 restaurants, and 334 digital startups per year, the city is a perfect place to conduct business. However, as an international hub that plays host to more than 1,800 international organizations, businesses in the software sector must stay ahead of competition to remain relevant. What is your business doing to be innovative?
In Chicago and elsewhere in Illinois, we have trained for:
Here is feedback from past students in Illinois:
The material presented and the pace of the class are excellent.- Mike M, Premier Farnell, Chicago, IL
Excellent instructor. Very clear on explaining things and very knowledgeable on the subject.- Jaime J, Premier Farnell, Chicago, IL
This was honestly the best technical training class I have ever participated in.- Diana B, Access Community Health Network, Chicago, IL
The instructor listened and made an effort to understand our questions and what we wanted to know and why we needed it.- Anonymous, Commodity Futures Trading Commission (IL), Chicago, IL
The instructor was very organized, knowledgeable and patient. He was flexible in talioring the class to our needs and experience and even left us with some tools and constructs to solve a number of our major concerns.- Michael O, Jewish United Fund, Chicago, IL
Python is an interpreted general-purpose programming language that developers can use to build anything. Much of its power is derived from the ability to handle applications that are object-oriented, functional, and structured. With the diverse nature of platforms and techniques, Python has a unique advantage that makes it ideal for web applications, scientific computing systems, and data mining, among other things. The language is intuitive, and this makes the code easy to read given the sparse grammar designed for maximum comprehension. It adheres to a philosophy of simplicity that makes it attractive to programmers of all levels. Developers learning the concepts of the language do so while enjoying the fun and joking nature of its Monty Python references.
The interpretive nature of the programming language also provides developers with the freedom of cross-platform compatibility, meaning that Python can run on Windows, Mac OS, and Linux. The language is freely available and has many applications. For example, companies are using Python in game development, Internet of Things devices, scientific computing, Big Data Analytics, Web Frameworks, Security Testing, Operating Systems, and Prototyping, among others.
The language is simple and flexible; therefore, it is a core requirement that many colleges use as an introduction to programming. Nevertheless, the ease and adaptability have a cost. Apps written in the language are dynamically typed, and its significance can change depending on the context of the application. This flexibility can cause speed issues as the application grows. Furthermore, the complexity of a large application can create a scenario where the code is hard to maintain. Therefore, programmers need to learn how to manage situational programming that moves beyond simple introductory concepts. The only way to do this is to receive training from experienced instructors that have faced similar scenarios and understand application development at all levels of sophistication.
The third version of the language, originally designed by Dutch programmer Guido van Rossum as an upgrade to ABC, is not compatible with previous versions. Many of the function upgrades are unfamiliar to Python developers, and these generally require extra instruction to improve understanding. Learn more by taking advantage of our free resources, including Python programming insights from our blog and free video tutorials that discuss the fundamentals of machine learning implementation in Python. Such discussions feature loading and visualizing data, assessing predictive algorithms, and making predictions.
The instructor-led Python training courses that Accelebrate offers are hands-on and tailored to fit the needs of businesses preparing entry-level to experienced software developers. These courses teach concepts that programmers will use to develop all types of applications at all levels of complexity. The company also has courses designed to fit the needs of engineers, data analysts, scientists, and statisticians, thus fitting the requirements of all types of organizations.
Our highly trained and experienced instructors can customize and deliver onsite or online training programs to fit your specific needs. Do not wait and let your competition gain an advantage. Stay ahead and request a quote now.
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Accelebrate’s training classes are available for private groups of 3 or more people at your site or online anywhere worldwide.
Don't settle for a "one size fits all" public class! Have Accelebrate deliver exactly the training you want, privately at your site or online, for less than the cost of a public class.
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