Residents of Dallas have a median age of 32.4 and income levels of over 40,000 dollars a year. This means that the city is a hub for affluent young millennials that are central to the development of the area. Experts consider Dallas as one of the best places to start a business and has a growing ecosystem that consists of new startups, coworking spaces, accelerators, and incubators that are helping the city lead in entrepreneurship and innovation. To thrive in the city, companies must invest in their workforce to develop the necessary skills that will lead to sustainable competitive advantages. Is your business ready to be the next Dallas success story?
In Dallas and elsewhere in Texas, we have trained for:
Here is feedback from past students in Texas:
Excellent class! Personable and knowledgable instruction that I would recommend for every level of expertise from "novice" through "expert". This was information that I can use!!!!!- Nick B, Luxottica Retail, Dallas, TX
Accelebrate exceed expectations on instructor and overall course organization. They were also very willing to modify the course outline to meet needs which was very helpful.- Anonymous, PriceWaterhouseCoopers, Dallas, TX
Accelebrate has accelerated my learning curve and got me wanting to jump into my project right away.- Tuan H, JPMorgan Chase, Dallas, TX
Great class for learning why and understanding what goes on behind the scenes, in addition to merely learning how to do it.- Steve M, CCH Incorporated (Dallas), Dallas, TX
I am so glad that we were able to work with you all again. Accelebrate brings their "A-game" every single time. As a talent manager, it brings peace of mind in knowing that our people are going to consistently get a great learning experience.- Charlyn G, CCH Incorporated (Dallas), Dallas, TX
Developers can use the interpreted and general-purpose language to build anything. The power is mostly derived from the ability to handle applications that are object-oriented, functional, and structured. Therefore, the conditions are perfect for using Python to build web applications, scientific computing systems, and data mining, among others. The sparse grammar design and the intuitive nature of the code makes the it easy to understand. Furthermore, Python adheres to a philosophy of simplicity that attracts 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. In the mixed environment of Windows, Mac OS, and Linux, this advantage is critical. The language is freely available and has many applications, including the use in game development, Internet of Things (IoT) devices, scientific computing, Big Data Analytics, Web Frameworks, Security Testing, Operating Systems, and Prototyping, among others.
The language has many advantages that have made it ideal in replacing Java and C++ as a core language in many colleges for their introduction to programming courses. However, the ease and flexibility have a cost. Applications developed in Python are dynamically typed, and its significance can change depending on what the software does. This flexibility can cause speed issues as the application grows. Furthermore, the complexity of a large application generates scenarios where the code is hard to manage and maintain. Therefore, programmers need to understand how to handle situations that move beyond simple introductory ideas. The best way to do this is to receive training from experienced instructors that understand application development at all levels of sophistication.
Python was originally designed by Dutch programmer Guido van Rossum as an upgrade to ABC. However, the third version of the language is not compatible with previous versions, adding a layer of complexity in learning. Many of the function upgrades are unfamiliar to Python developers, and these generally require additional 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.
Accelebrate's instructor-led Python training courses are hands-on and specifically built to fit the needs of businesses preparing developers of all levels, teaching the concepts that students will use to create all types of applications at all levels of sophistication. Accelerate also has courses specifically designed to fit the needs of engineers, data analysts, scientists, and statisticians.
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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