Washington, D.C., was established by the Constitution in 1790 and founded to serve as the capital of the United States. During the past few decades, however, it has emerged as an entrepreneurial hub, taking advantage of the resources that make the metropolitan area unique. The city is one of the most important in the world, playing host to top research and development organizations that invest more than $15 billion a year and defense contractors that bid on government contracts. As such, these organizations will need partners that provide high-quality code using the latest technology and security techniques. Therefore, apart from public-sector contractors, businesses that operate in Washington, D.C., also have more than a half-million firms that are looking for the latest in software and information technology. Is your business ready?
In Washington and elsewhere in the District of Columbia, we have trained for:
Here is feedback from past students in the District of Columbia:
Great to have a class designed specifically for our needs taught by an extremely knowledgeable instructor. Impressive!- Joyce M, The Urban Institute, Washington, DC
The best training I received in the last 12 programming trainings.- Dong, Commodity Futures Trading Commission, Washington, DC
Accelebrate was dedicated to customizing the course for our specific needs. For a small company, it was very helpful and a huge value add for our team!- Katie P, M Squared Strategies, Inc., Washington, DC
Good practical hands on training covering a range of levels and positions in one class.- Molly P, National Trust for Historic Preservation, Washington, DC
This was an exceptional course and I have acquired a lot in a short amount of time!- Rodney C, Dept of Commerce, Intl Trade Administration, Washington, DC
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. This created the perfect scenario for using Python to build web applications, scientific computing systems, and data mining, among others. The intuitive nature of the language makes the code easy to read using sparse grammar designed for maximum comprehension, thus adhering 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, including the use in game development, Internet of Things devices, scientific computing, Big Data Analytics, Web Frameworks, Security Testing, Operating Systems, and Prototyping, among others.
Python is simple to understand and flexible to use, replacing it as a core language in many colleges that teach it as an introduction to programming. Nevertheless, the ease and flexibility have a cost. Python apps 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 manage and maintain. Therefore, programmers need to understand how to handle certain situations that move beyond simple introductory concepts. The best way to do this is to receive training from experienced instructors who 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.
Accelebrate's instructor-led Python training courses are hands-on and tailored to fit the needs of businesses preparing entry-level to experienced software developers, teaching the concepts that programmers will use to develop all types of applications at all levels of complexity. Accelebrate 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. Don't wait to let your competition gain an advantage. Stay ahead and request a quote now.
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