fundamental of Data structure - Data Structure and its Importance

Computer Science is a new field born out of the quest to answer fundamental questions about philosophy of mathematics. The wonderful book of nature is written in the language of mathematics. Edsger W. Dijkstra said that Computing Science(computer Science) Is Not About Computers, Any More Than Astronomy Is About Telescopes. Biology is not about microscopes, and computer science is not about computers. Computers are the simply the by-products of the foundational and deep theoretical research in computer science. Computer science is a science that studies about computational problems. Computer Science is about what is computable and non-computable. It is the attempt towards the mechanization of our thought. Computer Programming is the way we solve our computational problems using computer gadgets. To reiterate: Mathematics is at the heart of both computing science research and solving computational problems using computer programming.

Python is an interpreted, high-level and general-purpose programming language. Python is used successfully in thousands of real-world business applications around the world, including many large and mission critical systems. Once you fall in love with python, you can use the programming language for developing both desktop and web applications. Also, you can use Python for developing complex scientific and numeric applications. Python is a great language for the beginner-level programmers and supports the development of a wide range of applications. In this tutorial you will learn python basics, data science and advanced levels.

Computer is one of the back bone of our day today activity that will help us to operate and Manage activity to save our time, space and Resource.therefore It is mandatory to upgrade the knowledge of computer application.we will have a discussion schedules on Computer hard ware and Software.

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By delving deep into the practical applications of statistics and data science, this course is designed to set you up for success. Learn from real-world examples: Instead of spending hours on theoretical material and trying to relate it to practical issues, we will focus solely on applied statistics. Programming will allow you to apply theory to real-world problems, equipping you with the knowledge and skills you need to succeed. We won’t be spending hours solving math problems by hand for reinforcement, as this isn’t school. Instead, we’ll use cutting-edge methods and code libraries that leverage the latest software releases to maximize productivity and efficiency. If you have any further questions, please do not hesitate to contact us.