To help ensure that your learning experience is good, please note that this course is not for beginners or those new to programming. You must have prior programming experience in an object-oriented programming language as there are concepts that are mentioned in the course that are assumed to be prior knowledge and are not explained in detail.
Learning C# provides a solid foundation in object-oriented programming knowledge, paves the way for learning other programming languages, and positions those who complete this course for a wide variety of in-demand computer programming jobs.Â Â Â The C# programming language was created to be an object-oriented programming language that offers ease of use, familiarity to C/C++ and Java developers, along with enhanced memory and resource management.Â C# is prevalent on the Microsoft platform but is also being used to develop software that runs on Linux, Android, and iOS devices.Â Â Â This course aims to teach the basics of C# all the way through the advanced features of the language.Â Â This course is not a beginner course on C#, although beginners can still learn a lot from the material.Â It is intended to provide an introduction to the C# language and the world of .NET programming for existing programmers who need or want to learn more about C# and managed code development.
What you'll learn:
"Great course, covered a wide area of subjects. Good Teacher and great content! You need some knowledge of programming in any language upfront because it starts easy but rapidly increases in difficulty." - Christopher Carley, edX student
ALERT:Â Before you purchase, check with your instructor or review your course syllabus to ensure that youÂ select the correct ISBN. Several versions of Pearson's MyLab & Mastering products exist for each title, including customized versions for individual schools, and registrations are not transferable. In addition,Â you may need a CourseID, provided by your instructor, to register for and use Pearson's MyLab & Mastering products.
Even though computers can't read, they're very effective at extracting information from natural language text. They can determine the main themes in the text, figure out if the writers of the text have positive or negative feelings about what they've written, decide if two documents are similar, add labels to documents, and more. This course shows you how to accomplish some common NLP (natural language processing) tasks using Python, an easy to understand, general programming language, in conjunction with the Python NLP libraries, NLTK, spaCy, gensim, and scikit-learn. The course is designed for basic level programmers with or without Python experience.
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