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Présentation Python For Beginners: The Easy Guide To Coding & Data Science de Format Broché
- Livre 12 ans et +
Résumé : An outcome of 25 years of teaching experience in Information Technology (IP/CS) to the CBSE curriculum's Sr Sec (+2) students. This work is a masterclass for beginners in Programming with no prior knowledge. This is exclusively useful for the IP & CS students of the +2 classes Here, they would first get a clear concept of Programming Logic, followed by a step-by-step firm idea of Programming in Python, with String, Tuple, List, Dictionary, Module, OOP Concept, NumPy, File Handling, etc. They would also gain a clear understanding of Data Science by Ensemble using Pandas and the graphical representation of Data analysis. A robust concept of Database using MySQL is provided, followed by a chapter on the perception of Artificial Intelligence (AI). In the end, a chapter on Self-management - a key to success, inspired by spiritualism- is included to help the readers excel in their professional and personal lives. Chapters: Chapter 1 Software and Programming Logic Chapter 2 Data and Data Processing Chapter 3 Programming with Python Chapter 4 String with Tuple Chapter 5 List Chapter 6 Dictionary Chapter 7 Module & OOP Concept Chapter 8 NumPy Chapter 9 Pandas & Ensemble ML Chapter 10 Python Series Chapter 11 Python DataFrame Chapter 12 Data Visualisation Chapter 13 Database with MySQL Chapter 14 Python-MySQL Connectivity Chapter 15 File Handling Chapter 16 Artificial Intelligence (AI) Chapter 17 Self-Management - A Key to Success
Sommaire: The book is the outcome of the last 25 years of teaching experience in Information Technology (IP/CS) to the CBSE curriculum's Senior Secondary (+2) students. This work is a master class for beginners in Programming with zero prior knowledge. This is exclusively useful for the IP & CS students of XI-XII classes. Here, they would first get a clear concept of Programming Logic, followed by a step-by-step firm idea of Programming in Python, with String, Tuple, List, Dictionary, Module, NumPy, File Handling, etc. They would also get a clear conception of Data Science on Pandas, and the Graphical expression of Data analysis. A robust concept of Database using MySQL is provided, followed by a chapter on the perception of Artificial Intelligence (AI). In the end, a chapter on Self-management - a key to success, inspired by spiritualism- is included to help the readers excel in their professional and personal lives. The chapters are: Chapter 1 Software and Programming Logic Chapter 2 Data and Data Processing Chapter 3 Programming with Python Chapter 4 String with Tuple Chapter 5 List Chapter 6 Dictionary Chapter 7 Module Chapter 8 NumPy Chapter 9 Python Data Science Chapter 10 Python Series Chapter 11 Python DataFrame Chapter 12 Data Visualisation Chapter 13 Database with MySQL Chapter 14 Python-MySQL Connectivity Chapter 15 File Handling Chapter 16 Artificial Intelligence (AI) Chapter 17 Self-Management - Key to Success
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