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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Want to make a career in coding or stuck with your school/college syllabus. Here is the solution. I am an expert with the practical work experience. I'll be starting from scratch and strengthen your concepts so that you can easily master over this language. I am providing you a brief summary of our course which we generally follow but that doesn't mean that I am bound to just this much content. In case you have any doubt for any other specific topic related to the subject, you could always come up to me or you need any help in your assignments or projects, you are always welcome. Here is a brief summary of our syllabus content which we'll be covering Introduction to Java programming • The Java Virtual Machine • Variables and data types • Conditional and looping constructs • Arrays Object-oriented programming with Java Classes and Objects • Fields and Methods • Constructors • Overloading methods • Garbage collection • Nested classes Inheritance • Overriding methods • Polymorphism • Making methods and classes final • Abstract classes and methods • Interfaces Exception handling with try-throw-catch-finally constructs • The Exception class The Object class • Cloning objects • The JDK LinkedList class • Strings • String conversions Working with types: Wrapper classes • Enumeration interface Packages • Package access • Documentation comments Applets • Configuring applets • Applet capabilities and restrictions Basics of AWT and Swing • Layout Managers • Event Handling • The Action Listener interface • Panels • Classes for various controls, such as label, choice, list, • Checkbox, etc. • Dialogs and frames • Using menus • Using the adapter classes • Graphics Threads • Synchronization The I/O Package • InputStream and OutputStream classes • Reader and Writer classes Basic concepts of networking • Working with URLs • Concepts of URLs • Sockets Database connectivity with JDBC • Java security In case you have any query, feel free to contact me. Give yourself a chance for a better future All the best

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Data science, statistics & mathematics – clearly explained, personally supported. My name is Kian, an experienced tutor from Bern. I support students, career starters, and professionals on their journey into the data-driven world—whether in their studies, projects, or everyday work. With my structured, understandable, and motivating approach, I'll help you not only solve problems but also understand data, recognize connections, and make informed decisions. My lessons are personalized, efficient, and at eye level. Who I am – and why I teach: I teach in Bern and successfully completed the MAS program in Statistical Data Science at the University of Bern, focusing on statistics, mathematics, and data science. For several years, I have been passionately teaching, both in academic contexts and for professionals who want to think and work more data-driven. In parallel to my teaching, I have implemented numerous data science projects – from exploratory analysis and data modeling to decision support in a business context. This combination of theory and practice makes my teaching particularly close to reality while remaining accessible. I love making complex topics tangible, creating aha moments, and empowering people to handle data confidently. For me, tutoring isn't just about imparting knowledge—it's about developing their minds on equal terms. -What you can expect from me: One-to-one lessons with a focus on data comprehension, statistics & analytical thinking Support with projects, assignments, exams or getting started in the data world Practical explanations – step by step and adapted to your everyday life Teaching modern methods for data analysis, modeling & interpretation Long-term strategies for problem-solving & structured thinking Flexible lessons in Bern or online – personal, competent & reliable Why I can help you understand data science: Because I work at the interface between science and practice. I know how quickly you can get lost in formulas and tools—and I'll help you see the common thread: How data tells stories, how you analyze it, and how you make smart decisions. With me, you won't just learn methods—you'll learn how to think with data. Whether in your studies or in your career, I'll guide you in truly understanding data and applying it confidently. Learn data analysis. Analyze and model complex data sets – understandable, practical and with structure. If you're ready to get to grips with data, I'm ready to guide you.