Python And Sql Server Development


Python And Sql Server Development pdf

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Python and SQL Server Development


Python and SQL Server Development

Author: Agus Kurniawan

language: en

Publisher: PE Press

Release Date:


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This book covers how to develop Python programs with SQL Server database and Azure SQL Server. Program samples and scenarios are provided to accelerate your learning speed. The following is a list of highlight topics in this book. * Setting up Development Environment * Getting Started - Python and SQL Server * CRUD Operations * Working with Image and Blob Data * Transaction * Stored Procedures * Working with Azure SQL Database and Python

IGNOU PGDCA MCS 201 Programming in C and Python Previous Years Unsolved Papers


IGNOU PGDCA MCS 201 Programming in C and Python Previous Years Unsolved Papers

Author: Manish Soni

language: en

Publisher:

Release Date: 2024-11-13


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The field of programming continues to evolve at a rapid pace, and mastering the fundamentals of languages like C and Python is crucial for any aspiring computer science student. This book, IGNOU Programming in C and Python: Previous Years Unsolved Papers, has been carefully curated to provide IGNOU students with an invaluable tool to prepare for their programming exams. By compiling unsolved question papers from previous years, this book aims to give students hands-on practice in solving real-world problems, which is key to mastering programming concepts in C and Python. The Indira Gandhi National Open University (IGNOU) is known for its comprehensive and rigorous academic curriculum, and its programming courses are no exception. C and Python are foundational programming languages taught as part of the computer science curriculum, and their mastery is essential for success in both academic and professional settings. The C programming language forms the backbone of many software systems and applications, while Python is one of the most widely used languages in data science, artificial intelligence, and web development. This book bridges the gap between theory and practical application by offering students the opportunity to practice questions that have been part of the examination pattern in previous years. This book is organized around previous years' unsolved papers, which are invaluable in providing students with a glimpse of how exam questions are structured. It not only tests students' knowledge of programming concepts but also helps them develop problem-solving skills that are vital for writing efficient and optimized code. For C programming, the book includes questions that cover essential topics such as loops, conditionals, arrays, functions, pointers, structures, and file handling. Students are encouraged to practice these questions in an environment similar to their exams, giving them the opportunity to apply what they have learned in their coursework to real-world problems. Solving these papers will also give students insight into common pitfalls and challenges faced during exams. Similarly, for Python, the book focuses on key areas such as data types, control structures, functions, file handling, object-oriented programming, and exception handling. Python, being a more flexible and intuitive language, allows students to think creatively and write cleaner, more efficient code. By working through the unsolved papers, students will sharpen their understanding of Python’s dynamic features, which are critical for modern programming.

Exam Ref 70-774 Perform Cloud Data Science with Azure Machine Learning


Exam Ref 70-774 Perform Cloud Data Science with Azure Machine Learning

Author: Ginger Grant

language: en

Publisher: Microsoft Press

Release Date: 2018-03-01


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Prepare for Microsoft Exam 70-774–and help demonstrate your real-world mastery of performing key data science activities with Azure Machine Learning services. Designed for experienced IT professionals ready to advance their status, Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the MCSA level. Focus on the expertise measured by these objectives: Prepare data for analysis in Azure Machine Learning and export from Azure Machine Learning Develop machine learning models Operationalize and manage Azure Machine Learning Services Use other services for machine learning This Microsoft Exam Ref: Organizes its coverage by exam objectives Features strategic, what-if scenarios to challenge you Assumes you are familiar with Azure data services, machine learning concepts, and common data science processes About the Exam Exam 70-774 focuses on skills and knowledge needed to prepare data for analysis with Azure Machine Learning; find key variables describing your data’s behavior; develop models and identify optimal algorithms; train, validate, deploy, manage, and consume Azure Machine Learning Models; and leverage related services and APIs. About Microsoft Certification Passing this exam as well as Exam 70-773: Analyzing Big Data with Microsoft R earns your MCSA: Machine Learning certifi¿cation, demonstrating your expertise in operationalizing Microsoft Azure machine learning and Big Data with R Server and SQL R Services. See full details at: microsoft.com/learning