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Database Programming with Pyodbc

Python Playbook

Pyodbc brings Python and the ODBC standard together, a powerful combination for doing database development. This course covers what you need to develop your database code with Pyodbc and also understand what happens on the database side.

Python is one of the world's most popular languages, ODBC one of the most popular database driver standards, and Pyodbc brings them together. In this course, Database Programming with Pyodbc: Python Playbook, you will learn foundational knowledge of database development using this popular Python module. First, you will learn how to execute queries and process results. Next, you will discover how to handle data type mismatches and managing transactions. Finally, you will explore the different error categories and how to handle them. When you’re finished with this course, you will have the skills and knowledge of Pyodbc development needed to boost your Python database development skills.

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What's inside

Syllabus

Course Overview

Getting Started with Pyodbc

Querying and Processing Reults

Working with Data Types

Managing Transactions

Handling Errors

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Explores Pyodbc, which is the industry standard for Python database development

Taught by Warner Chaves, recognized for their work in Python database development

Introduces database development fundamentals and how Pyodbc simplifies them

Covers querying and processing, data type handling, transactions, and error management in depth

Builds a strong foundation in Pyodbc for Python database development

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Database Programming with Pyodbc: Python Playbook with these activities:

Review Python Essential Reference by David Beazley

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Review the key concepts and syntax of Python to refresh your understanding.

View Python Distilled on Amazon

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Read the table of contents and introduction.
Flip through each chapter and skim the headings.
Go back and read the sections that are most relevant to your learning goals.

Organize your course materials and prepare for the course

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Prepare for a successful learning experience by organizing and reviewing course materials.

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Collect all course materials, including slides, assignments, and lecture notes.
Create a dedicated folder or workspace for the course.
Organize the materials into logical sections or subfolders.
Review the materials to gain an overview of the course

Follow tutorials on building a database application with Flask

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Gain hands-on experience in developing a real-world database application.

Browse courses on Flask

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Find a tutorial on building a database application with Flask.
Set up the necessary development environment.
Follow the tutorial step-by-step, building the application incrementally.
Deploy the application to a cloud platform.

Five other activities

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Assist with data entry or database management at a local non-profit organization

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Gain practical experience in data handling and database management while contributing to a good cause.

Browse courses on Data Management

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Identify local non-profit organizations that need assistance with data management.
Contact the organizations and offer your services.
Perform data entry, data cleaning, or database maintenance tasks under the guidance of the organization's staff.

Complete SQL queries on a mock database

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Practice writing efficient SQL queries to extract and manipulate data from a database.

Browse courses on SQL

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Set up a local SQLite database.
Create a few tables with sample data.
Use the Python sqlite3 library to connect to the database.
Write a variety of SQL queries to retrieve data, filter results, and update the database.

Develop a small database application using Pyodbc

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Apply your knowledge of Pyodbc to build a practical database solution.

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Define the requirements for your application.
Design the database schema.
Develop the Python code using Pyodbc.
Test and debug the application.

Read Database Systems: The Complete Book by Hector Garcia-Molina

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Gain a deeper understanding of the underlying concepts and principles of database systems.

View Database Systems: The Complete Book on Amazon

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Go through the chapters that are most relevant to Pyodbc development.
Take notes and highlight important concepts.
Complete the exercises and review the solutions.

Participate in a Hackathon focused on database development

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Challenge yourself in a competitive environment and gain valuable experience in database design and implementation.

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Find a suitable hackathon that focuses on database development.
Form a team of skilled individuals.
Develop a creative and innovative database solution within the given time constraints.

Career center

Learners who complete Database Programming with Pyodbc: Python Playbook will develop knowledge and skills that may be useful to these careers:

Software Developer

As a Software Developer, you will design, develop, test, and maintain software applications. To excel in this role, you will need to have a solid understanding of programming languages, data structures, and algorithms. Database Programming with Pyodbc: Python Playbook will help you build a strong foundation in these areas, making you a more effective Software Developer.

See salaries and explore the career path for Software Developer

Database Administrator

Database Administrators are responsible for the day-to-day operation and maintenance of databases. This includes tasks such as creating and modifying databases, managing user access, and ensuring data integrity. Database Programming with Pyodbc: Python Playbook can help you develop the skills you need to become a successful Database Administrator.

See salaries and explore the career path for Database Administrator

Data Analyst

Data Analysts collect, analyze, and interpret data to help businesses make better decisions. This course will help you develop the skills you need to become a successful Data Analyst, including data mining, statistical analysis, and data visualization.

See salaries and explore the career path for Data Analyst

Business Intelligence Analyst

Business Intelligence Analysts use data to identify trends and patterns that can help businesses make better decisions. This course will help you develop the skills you need to become a successful Business Intelligence Analyst, including data mining, statistical analysis, and data visualization.

See salaries and explore the career path for Business Intelligence Analyst

Data Scientist

Data Scientists use data to solve business problems. This course will help you develop the skills you need to become a successful Data Scientist, including data mining, statistical analysis, and machine learning.

See salaries and explore the career path for Data Scientist

Web Developer

Web Developers design and develop websites. This course will help you develop the skills you need to become a successful Web Developer, including HTML, CSS, and JavaScript.

See salaries and explore the career path for Web Developer

Mobile Developer

Mobile Developers design and develop mobile applications. This course will help you develop the skills you need to become a successful Mobile Developer, including Java, Kotlin, and Swift.

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Game Developer

Game Developers design and develop video games. This course will help you develop the skills you need to become a successful Game Developer, including C++, C#, and Unreal Engine.

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DevOps Engineer

DevOps Engineers work to bridge the gap between development and operations teams. This course will help you develop the skills you need to become a successful DevOps Engineer, including Agile, Scrum, and Jenkins.

See salaries and explore the career path for DevOps Engineer

Cloud Engineer

Cloud Engineers design and manage cloud computing systems. This course will help you develop the skills you need to become a successful Cloud Engineer, including AWS, Azure, and Google Cloud Platform.

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Data Engineer

Data Engineers design and build data pipelines. This course will help you develop the skills you need to become a successful Data Engineer, including Spark, Hadoop, and Hive.

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Machine Learning Engineer

Machine Learning Engineers design and build machine learning models. This course will help you develop the skills you need to become a successful Machine Learning Engineer, including Python, TensorFlow, and scikit-learn.

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Artificial Intelligence Engineer

Artificial Intelligence Engineers design and build artificial intelligence systems. This course will help you develop the skills you need to become a successful Artificial Intelligence Engineer, including Python, TensorFlow, and scikit-learn.

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Data Science Manager

Data Science Managers lead teams of data scientists and engineers. This course will help you develop the skills you need to become a successful Data Science Manager, including leadership, communication, and business acumen.

See salaries and explore the career path for Data Science Manager

Database Architect

Database Architects design and manage databases. This course will help you develop the skills you need to become a successful Database Architect, including SQL, NoSQL, and data modeling.

See salaries and explore the career path for Database Architect

Reading list

We've selected ten books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Database Programming with Pyodbc: Python Playbook.

Python Data Science Handbook

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Provides a comprehensive overview of Python for data science, covering topics such as data cleaning, data analysis, and data visualization. It valuable resource for those interested in using Python for data science.

Database Programming with Pyodbc

Python Playbook

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What's inside

Syllabus

Good to know

Save this course

Activities

Career center

Reading list

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