CBSE All In One Informatics Practices with Python Pandas Class 12 2022-23 Edition (As per latest CBSE Syllabus issued on 21 April 2022) - Softcover

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Arihant's "All in One" is no new name today. One of the Best-Selling Series that is helping students with their school and board exams preparation by providing Complete Theory, Practice, and Assessment as per new issued pattern for the excellent academic results. The freshly updated 2022-23 edition of "All in One Informatics Practices by Python Pandas for Class 12" is a self - study guide that has been carefully and consciously revised by providing proper explanation & guidance and strictly following the latest CBSE Syllabus as prescribed by the Board. It has been written in such a way that the students will be fully guided to prepare for the exams in the most effective manner and securing higher grades. It constitutes all the key concepts in each distinctive chapter in an explanatory manner for the better understanding. The book not only focuses on imparting theoretical knowledge, but also on enhancing the revision and practice level. It has all the materials required for Learning, Understanding, and Practice & Assessment and will surely guide the students to the way of success. This book inhibits: 1. 'All in One' - Best Selling Series from class 6th -12th 2. Covers complete theory, Practice, and Assessment of Informatics Practices by Python Pandas for Class 12 with solved examples 3. Divided into 8 chapters giving full coverage to the syllabus 4. Each chapter is supported by detailed theory, illustrations, and all types of questions 5. Special focus on New Pattern Objective Questions 6. Every chapter accompanies Chapter Practice for quick revision 7. Supplemented with all types of questions 8. Assertion- Reason and Case-Based Questions 9. Sample Papers for thorough revision Table of Contents Data Handling Using Pandas-I, Data Visualization, Revision Tour of RDBMS, MySQL Functions and Querying Using SQL, Computer Networks, Introduction to Internet and Web, Societal Impacts, Data Protection, Sample Papers [1-3]

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