Python Programming with Oracle Database PDF Download
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Author: Ray Terrill
Publisher:
ISBN: 9781608300136
Category : Database management
Languages : en
Pages : 176
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Book Description
Ray Terrill's Python Programming for Oracle Database is a detailed exploration of the ways in which the Python programming language can be used to interact with the Oracle Relational Database Management System (RDBMS). As evidenced by the table of contents, the book covers the broad spectrum of Python/Oracle interactions, including standard SQL, PL/SQL, connecting as a SYSDBA user, and object-oriented database interactions. The book also takes time to provide primer sections for both the Python programming language and the Oracle Database, in the hopes of facilitating an easier learning experience for beginners to either discipline. This book provides information and examples not available in any other Python book. The examples are detailed enough to provide a solid understanding of the topics they're meant to reinforce, while being explained in thorough detail to ensure comprehension of key concepts. There is little doubt that the book will quickly pay for itself, as the reader stands to add valuable skills to their technical arsenal through the material covered throughout in each of the chapters. Topics covered in the book: Installation of Python/Required Software Modules; Python Introduction; Oracle Introduction; Using SQL with Python to Interact with Oracle; Performing DBA Tasks with the Oracle Database Using Python; Using PL/SQL with Python; Using an Object-Relational Mapper to Connect Python and Oracle.
Author: Ray Terrill
Publisher:
ISBN: 9781608300136
Category : Database management
Languages : en
Pages : 176
Get Book Here
Book Description
Ray Terrill's Python Programming for Oracle Database is a detailed exploration of the ways in which the Python programming language can be used to interact with the Oracle Relational Database Management System (RDBMS). As evidenced by the table of contents, the book covers the broad spectrum of Python/Oracle interactions, including standard SQL, PL/SQL, connecting as a SYSDBA user, and object-oriented database interactions. The book also takes time to provide primer sections for both the Python programming language and the Oracle Database, in the hopes of facilitating an easier learning experience for beginners to either discipline. This book provides information and examples not available in any other Python book. The examples are detailed enough to provide a solid understanding of the topics they're meant to reinforce, while being explained in thorough detail to ensure comprehension of key concepts. There is little doubt that the book will quickly pay for itself, as the reader stands to add valuable skills to their technical arsenal through the material covered throughout in each of the chapters. Topics covered in the book: Installation of Python/Required Software Modules; Python Introduction; Oracle Introduction; Using SQL with Python to Interact with Oracle; Performing DBA Tasks with the Oracle Database Using Python; Using PL/SQL with Python; Using an Object-Relational Mapper to Connect Python and Oracle.
Author: Vijay Kumar Sharma
Publisher: CRC Press
ISBN: 1000434419
Category : Computers
Languages : en
Pages : 396
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Book Description
Maintaining a practical perspective, Python Programming: A Practical Approach acquaints you with the wonderful world of programming. The book is a starting point for those who want to learn Python programming. The backbone of any programming, which is the data structure and components such as strings, lists, etc., have been illustrated with many examples and enough practice problems to instill a level of self-confidence in the reader. Drawing on knowledge gained directly from teaching Computer Science as a subject and working on a wide range of projects related to ML, AI, deep learning, and blockchain, the authors have tried their best to present the necessary skills for a Python programmer. Once the foundation of Python programming is built and the readers are aware of the exact structure, dimensions, processing, building blocks, and representation of data, they can readily take up their specific problems from the area of interest and solve them with the help of Python. These include, but are not limited to, operators, control flow, strings, functions, module processing, object-oriented programming, exception and file handling, multithreading, synchronization, regular expressions, and Python database programming. This book on Python programming is specially designed to keep readers busy with learning fundamentals and generates a sense of confidence by attempting the assignment problems. We firmly believe that explaining any particular technology deviates from learning the fundamentals of a programming language. This book is focused on helping readers attempt implementation in their areas of interest through the skills imparted through this book. We have attempted to present the real essence of Python programming, which you can confidently apply in real life by using Python as a tool. Salient Features Based on real-world requirements and solution. Simple presentation without avoiding necessary details of the topic. Executable programs on almost every topic. Plenty of exercise questions, designed to test readers’ skills and understanding. Purposefully designed to be instantly applicable, Python Programming: A Practical Approach provides implementation examples so that the described subject matter can be immediately implemented due to the well-known versatility of Python in handling different data types with ease.
Author: Aivars Kalvāns
Publisher: Packt Publishing Ltd
ISBN: 1801077436
Category : Computers
Languages : en
Pages : 202
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Book Description
Learn Tuxedo by developing solutions in Python for real-world problems Key FeaturesUnderstand Tuxedo through a modern lens by experimenting with Python codeBoost your productivity by using Python programming to perform common Tuxedo programming tasksManage real-world integration tasks with small Python programsBook Description Despite being developed in the 1980s, Oracle Tuxedo still runs a significant part of critical infrastructure and is not going away any time soon. Modernizing Oracle Tuxedo Applications with Python will help you get to grips with the most important Tuxedo concepts by writing Python code. The book starts with an introduction to Oracle Tuxedo and guides you in installing its latest version and Python bindings for Tuxedo on Linux. You'll then learn how to build your first server and client, configure Tuxedo, and start running an application. As you advance, you'll understand load balancing and work with the BBL server, which is at the heart of a Tuxedo application. This Tuxedo book will also cover Boolean expressions and different ways to export Tuxedo buffers for storage and transmission, before showing you how to implement servers and clients and use the management information base to change the configuration dynamically. Once you've learned how to configure Tuxedo for transactions and control them in application code, you'll discover how to use the store-and-forward functionality to reach destinations and use an Oracle database from a Tuxedo application. By the end of this Oracle Tuxedo book, you'll be able to perform common Tuxedo programming tasks with Python and integrate Tuxedo applications with other parts of modern infrastructure. What you will learnUnderstand Oracle Tuxedo as a microservice platformDevelop Oracle Tuxedo applications using Python 3Perform administration tasks programmatically with Python 3Extract Tuxedo statistics for monitoring application performanceIntegrate Tuxedo into the modern software ecosystemUnderstand how distributed transactions work in TuxedoWho this book is for This book is for developers who are new to Tuxedo and are looking to develop a new modern front-end or integrate Tuxedo in their applications. The book will also help experienced Tuxedo, C or COBOL developers to improve their productivity and QA engineers to automate Tuxedo application tests. Beginner-level knowledge of Python and Linux shell is required before getting started with this book.
Author: Vijay Kumar Sharma
Publisher: CRC Press
ISBN: 1000434400
Category : Computers
Languages : en
Pages : 345
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Book Description
Maintaining a practical perspective, Python Programming: A Practical Approach acquaints you with the wonderful world of programming. The book is a starting point for those who want to learn Python programming. The backbone of any programming, which is the data structure and components such as strings, lists, etc., have been illustrated with many examples and enough practice problems to instill a level of self-confidence in the reader. Drawing on knowledge gained directly from teaching Computer Science as a subject and working on a wide range of projects related to ML, AI, deep learning, and blockchain, the authors have tried their best to present the necessary skills for a Python programmer. Once the foundation of Python programming is built and the readers are aware of the exact structure, dimensions, processing, building blocks, and representation of data, they can readily take up their specific problems from the area of interest and solve them with the help of Python. These include, but are not limited to, operators, control flow, strings, functions, module processing, object-oriented programming, exception and file handling, multithreading, synchronization, regular expressions, and Python database programming. This book on Python programming is specially designed to keep readers busy with learning fundamentals and generates a sense of confidence by attempting the assignment problems. We firmly believe that explaining any particular technology deviates from learning the fundamentals of a programming language. This book is focused on helping readers attempt implementation in their areas of interest through the skills imparted through this book. We have attempted to present the real essence of Python programming, which you can confidently apply in real life by using Python as a tool. Salient Features Based on real-world requirements and solution. Simple presentation without avoiding necessary details of the topic. Executable programs on almost every topic. Plenty of exercise questions, designed to test readers’ skills and understanding. Purposefully designed to be instantly applicable, Python Programming: A Practical Approach provides implementation examples so that the described subject matter can be immediately implemented due to the well-known versatility of Python in handling different data types with ease.
Author: Robert Smith
Publisher: Robert Smith
ISBN: 9781802262445
Category :
Languages : en
Pages : 170
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Book Description
55 % discount for bookstores ! Now At $25.99 instead of $ 40.28 $ Your customers will never stop reading this guide !!! MICROSOFT ACCESS Microsoft Access is Database Management System (DBMS) is the production of Microsoft which is used to combine the relational Microsoft Access Jet Database Engine with the graphical user Interfac4 and other software development tools. Microsoft Access unlike SQL, Oracle databases stores the data in its own format in accordance with the Access Jet Database Engine. Via Microsoft Access you can easily import data from Excel spreadsheets, Word documents. Microsoft Access can easily work with popular and heavy databases like oracle and SQL, DB2. You can link the data and can import the data stored in other applications and their databases. Microsoft Access can understand other formats of data including database file structures. For the analysts who faces ever increasing pool of data Microsoft is very beneficial for them. Microsoft is a major hit with larger and wider datasets because it has no predetermined row limitations. Microsoft Access manages data effectively in the different data tables. Moreover, Microsoft Access comes with the tools that helps a lot in building your own distribute applications. Today world have more data than ever, and data is just increasing and the demand for complex data analysis is more. So, the surge of data need more power tools to get way from spread sheets mechanism. Microsoft Access is a powerful tool for managing the data and managed data is very important in order to depict future endeavors. Hence learning Microsoft only help in designing better data for your organizations. PYTHON This book gives a prologue to the Python programming language. Python is a famous open source programming language utilized for both independent projects and scripting applications in a wide assortment of areas. It is free, convenient, amazing, and astoundingly simple and amusing to utilize. Developers from each edge of the product business have discovered Python's attention on designer efficiency and programming quality to be an essential benefit in projects both enormous and little. Buy it Now and let your customers get addicted to this amazing book !!
Author: Usharani Bhimavarapu
Publisher: CRC Press
ISBN: 1003812007
Category : Computers
Languages : en
Pages : 235
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Book Description
Volume 2 of Learning Professional Python is a resource for students who want to learn Python even if they don’t have any programming knowledge and for teachers who want a comprehensive introduction to Python to use with their students. This book helps the students achieve their dream job in the IT Industry and teaches the students in an easy, understandable manner while strengthening coding skills. Learning Professional Python: Volume 2 Objectives Become familiar with the features of Python programming language Introduce the object-oriented programming concepts Discover how to write Python code by following the object-oriented programming concepts Become comfortable with concepts such as classes, objects, inheritance, dynamic dispatch, interfaces, and packages Learn the Python generics and collections Develop exception handling and the multithreaded applications Design graphical user interface (GUI) applications
Author: Clinton W. Brownley
Publisher: "O'Reilly Media, Inc."
ISBN: 1491922508
Category : Business & Economics
Languages : en
Pages : 351
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Book Description
If you’re like many of Excel’s 750 million users, you want to do more with your data—like repeating similar analyses over hundreds of files, or combining data in many files for analysis at one time. This practical guide shows ambitious non-programmers how to automate and scale the processing and analysis of data in different formats—by using Python. After author Clinton Brownley takes you through Python basics, you’ll be able to write simple scripts for processing data in spreadsheets as well as databases. You’ll also learn how to use several Python modules for parsing files, grouping data, and producing statistics. No programming experience is necessary. Create and run your own Python scripts by learning basic syntax Use Python’s csv module to read and parse CSV files Read multiple Excel worksheets and workbooks with the xlrd module Perform database operations in MySQL or with the mysqlclient module Create Python applications to find specific records, group data, and parse text files Build statistical graphs and plots with matplotlib, pandas, ggplot, and seaborn Produce summary statistics, and estimate regression and classification models Schedule your scripts to run automatically in both Windows and Mac environments
Author: Lathkar Malhar
Publisher: BPB Publications
ISBN: 9388176170
Category : Computers
Languages : en
Pages : 325
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Book Description
Designed to provide an insight into the SQL and MySQL database concepts using python Key features A practical approach Ample code examples A Quick Start Guide to Python for beginners Description Python is becoming increasingly popular among data scientists. However, analysis and visualization tools need to interact with the data stored in various formats such as relational and NOSQL databases.This book aims to make the reader proficient in interacting with databases such as MySQL, SQLite, MongoDB, and Cassandra.This book assumes that the reader has no prior knowledge of programming. Hence, basic programming concepts, key concepts of OOP, serialization and data persistence have been explained in such a way that it is easy to understand. NOSQL is an emerging technology. Using MongoDB and Cassandra, the two widely used NOSQL databases are explained in detail.The knowhow of handling databases using Python will certainly be helpful for readers pursuing a career in Data Science.What will you learn Python basics and programming fundamentals Serialization libraries pickle, CSV, JSON, and XML DB-AP and, SQLAlchemy Python with Excel documents Python with MongoDB and CassandraWho this book is forStudents and professionals who want to become proficient at database tools for a successful career in data science. Table of contents1. Getting Started2. Program Flow Control3. Structured Python4. Python - OOP5. File IO6. Object Serialization7. RDBMS Concepts8. Python DB-API9. Python - SQLAlchemy10. Python and Excel11. Python - PyMongo12. Python - CassandraAppendix A: Alternate Python ImplementationsAppendix B: Alternate Python DistributionsAppendix C: Built-in FunctionsAppendix D: Built-in ModulesAppendix E: Magic MethodsAppendix F: SQLite Dot CommandsAppendix G: ANSI SQL StatementsAppendix H: PyMongo API MethodsAppendix I: Cassandra CQL Shell Commands About the authorMalhar Lathkar is an Independent software professional / Programming technologies trainer/E-Learning Subject matter Expert. He is a of Director Institute of Programming Language Studies, having an academic experience of 33 years. His expertise is in Java, Python, C#, IoT, PHP, databases. His linkedIn: linkedin.com/in/malharlathkar His blog: indsport.blogspot.com
Author: Vivian Siahaan
Publisher: SPARTA PUBLISHING
ISBN:
Category : Computers
Languages : en
Pages : 534
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Book Description
In this book, you will create two MariaDB and PostgreSQL driven projects using PyQt. The step-by-step guide in this book is expected to help the reader's confidence to become a programmer who can solve database programming problems. A progressive project is provided to demonstrate how to apply the concepts of MariaDB and PostgreSQL using Python. In second chapter, you will learn PyQt that consists of a number of Python bindings for cross-platform applications that combine all the strengths of Qt and Python. By using PyQt, you can include all Qt libraries in Python code, so you can write GUI applications in Python. In other words, you can use PyQt to access all the features provided by Qt through Python code. Because PyQt depends on the Qt libraries at run time, you need to install PyQt. In third chapter, you will learn: How to create the initial three tables project in the School database: Teacher, Class, and Subject tables; How to create database configuration files; How to create a Python GUI for inserting and editing tables; How to create a Python GUI to join and query the three tables. In fourth chapter, you will learn how to: Create a main form to connect all forms; Create a project will add three more tables to the school database: Student, Parent, and Tuition tables; Create a Python GUI for inserting and editing tables; Create a Python GUI to join and query over the three tables. In this chapter, you will join the six classes, Teacher, TClass, Subject, Student, Parent, and Tuition and make queries over those tables. In chapter five, you will create dan configure PotgreSQL database. In this chapter, you will create Suspect table in crime database. This table has eleven columns: suspect_id (primary key), suspect_name, birth_date, case_date, report_date, suspect_ status, arrest_date, mother_name, address, telephone, and photo. You will also create GUI to display, edit, insert, and delete for this table. In chapter six, you will create a table with the name Feature_Extraction, which has eight columns: feature_id (primary key), suspect_id (foreign key), feature1, feature2, feature3, feature4, feature5, and feature6. The six fields (except keys) will have a VARCHAR data type (200). You will also create GUI to display, edit, insert, and delete for this table. In chapter seven, you will create two tables, Police and Investigator. The Police table has six columns: police_id (primary key), province, city, address, telephone, and photo. The Investigator table has eight columns: investigator_id (primary key), investigator_name, rank, birth_date, gender, address, telephone, and photo. You will also create GUI to display, edit, insert, and delete for both tables. In chapter eight, you will create two tables, Victim and Case_File. The Victim table has nine columns: victim_id (primary key), victim_name, crime_type, birth_date, crime_date, gender, address, telephone, and photo. The Case_File table has seven columns: case_file_id (primary key), suspect_id (foreign key), police_id (foreign key), investigator_id (foreign key), victim_id (foreign key), status, and description. You will create GUI to display, edit, insert, and delete for both tables as well.
Author: Tony Coding
Publisher:
ISBN:
Category :
Languages : en
Pages : 433
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Book Description
What is Python Machine Learning for beginners? Don't miss a line... Read on your PC, Mac, smart phone, tablet or Kindle device. Includes 2 manuscripts Python machine learning for beginners Python is one of the sophisticated machine languages used to program a computer today. It can be used to code virtually all computer operations, which means it would likely suit what you have in mind too. It is used far and wide by standard computer and top tech firms, which is one reason every brilliant programmer should learn and understand python machine programming. A unique feature of python machine is that it can easily be understood by humans, unlike most other computer languages. There is a wide range of functions you can perform with Python, and you would have access to them all and how to apply them like a pro in this e-book. Among others, this eBook will guide you from a beginner who has no idea what programming entails to a pro who can smartly code any computer operation. Neural network is one of the basics you need to understand, and you will definitely find a bit by bit overview of the neural networks, as well as the processes of the neural networks in here. Algorithms is another concept that you need to understand from top to bottom. The author realizes this, and so dedicates a whole chapter to carefully take you through the process of optimizing your machine learning system with algorithm. Apart from discovering series of programmatic ways you can try, you would also get grips to deeper textual and social media data. The only part some experts do not understand is how to organize data using pre-processing techniques. You would certainly not have that problem as it is well analyzed in this e-book. sql coding for beginners Structured Query Language (SQL) is one of the foremost programming languages used to coordinate your data when saved in relational databases. A lot of firms appreciate sql due to the simplicity in its instructional coding. This feature is a top reason you might like to try sql too. Though, there are other features, and you would find the full function of the code in this e-book. Often times, users are weighed down and distracted from using sql by the fact that it is technical. It involves data, tables and column navigation. The author understands the fear of the learners here, and so, makes this one of the best informatory e-books. The e-book details a step by step explanation of how to correctly install SQL developer as a novice, down to the methods with which you can work with data, tables and columns. There are different types of data and this e-book teaches the various methods through which one can different them. Also, how you can ensure integrity of your data. You need to learn how to create database in order to conveniently navigate with SQL, and there is a different chapter for that in this e-book, alongside how to proper administration of your database. Security, SQL injections, pivoting data in SQL and such relevant items are clearly explained in this book. This is why paying close attention to all items in this book is enough to make you a top sql coder. Download your copy today
