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Working with Databases in Python 3

Douglas Starnes

This course will teach you how to develop applications in Python using both relational and NoSQL databases.

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This course will teach you how to develop applications in Python using both relational and NoSQL databases.

In this course, Working with Databases in Python 3, you’ll learn to develop Python applications using both relational and NoSQL databases. First, you’ll explore how to use local databases for development. Next, you’ll discover how to use database servers with native drivers. Finally, you’ll learn how to use a mapper to work with data models in Python. When you’re finished with this course, you’ll have the skills and knowledge of relational and NoSQL databases in Python needed to use databases in your next Python application.

This course is no longer available. Find something similar by browsing:
Databases Python SQL PostgreSQL MongoDB NOSQL Databases Relational Databases

What's inside

Syllabus

Course Overview
Using a Local Relational Database - SQLite
Using a Relational Database - PostgreSQL and psycopg2
Using an ORM - SQLAlchemy
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Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Explores using SQL and NoSQL databases in Python, which is standard across the software and data science industries
Taught by Douglas Starnes, who is recognized for his work in teaching and developing Python applications
Examines relational and NoSQL databases, which are highly relevant to software and data science

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Reviews summary

Python database fundamentals with orms

According to students, this course offers a largely positive and practical introduction to working with databases in Python. Many learners found the instructor's explanations very clear, especially for complex topics. The course is praised for its hands-on examples and the practical application of concepts, with modules on SQLAlchemy and MongoEngine highlighted as particularly valuable for real-world development. While providing a solid foundation, some learners with prior database experience felt the pace was a bit slow or that the NoSQL sections could go deeper. Overall, it's considered excellent for beginners and those looking to integrate databases into Python applications.
Highly suitable for learners new to databases in Python.
"This course is fantastic for anyone starting with Python and databases."
"The course content is good for beginners."
"Perfect for a quick start with databases in Python."
Provides excellent depth on relational databases, especially ORMs.
"I found the relational database sections (SQLite, PostgreSQL) to be very strong."
"Learning to use SQLAlchemy was a game-changer for my projects."
"I especially appreciated the modules on ORMs like SQLAlchemy... very practical for real-world development."
Concepts are explained clearly, making complex topics accessible.
"The instructor explains SQLite and PostgreSQL concepts very clearly, making complex topics easy to grasp."
"The explanations were concise and the code examples worked perfectly."
"The instructor's teaching style is engaging."
Equips learners with essential skills for real-world database integration.
"The hands-on examples were incredibly helpful for understanding psycopg2 and SQLAlchemy."
"Absolutely loved the practical approach. Learning to use SQLAlchemy was a game-changer for my projects."
"It truly equipped me with the skills to use databases in my next Python application."
"I learned how to use practical tools and strategies that I could apply immediately to my work."
A solid Python foundation is essential for a smoother experience.
"I struggled with this course. I felt lost without a stronger Python background, even though it mentioned Python 3."
May feel slow or too basic for those with prior database experience.
"As someone with prior database experience, I found some parts too basic."
"The pace was a bit slow in the initial sections."
"Maybe it's just not for intermediate users."
The NoSQL portion could benefit from more detailed coverage.
"The NoSQL part (MongoDB) felt a bit rushed in comparison, and I wished for more in-depth examples with pymongo and MongoEngine."
"The NoSQL content was a good addition, but again, could have gone deeper."

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 Working with Databases in Python 3 with these activities:
Python Programming: A Modern Approach
Provides a comprehensive overview of Python, building a solid foundation for the course
View Learning Python: Powerful Object-Oriented... on Amazon
Show steps
  • Read the book thoroughly
  • Take notes and highlight key concepts
  • Complete the exercises and practice problems
Glossary of Python Terms
Strengthens your understanding of key concepts by creating a resource that you can refer to later
Browse courses on Python
Show steps
  • Identify the key terms and concepts in the course
  • Create a glossary entry for each term
  • Organize the glossary entries in a logical order
Django Practice
Builds foundation for the course by refreshing your Python skills and eliminates the friction caused by rusty web development skills
Browse courses on Django
Show steps
  • Review Django documentation
  • Install Django and set up a project
  • Create a simple Django application
Five other activities
Expand to see all activities and additional details
Show all eight activities
Peer Learning Group
Provides a supportive environment for learning, allowing you to clarify concepts and reinforce your understanding through discussions with peers
Show steps
  • Find a peer learning group or create your own
  • Meet regularly to discuss course materials and assignments
  • Work together on projects and assignments
Python Data Visualization with Pandas
Reinforces concepts covered in the course by solidifying your skills through hands-on exercises and tutorials
Browse courses on Pandas
Show steps
  • Find a tutorial on Python data visualization with Pandas
  • Follow the tutorial and complete the exercises
  • Create your own data visualization project using Pandas
Python Project for Beginners
Gives you an opportunity to apply your skills and knowledge to a real-world project, building confidence and solidifying your understanding
Browse courses on Python
Show steps
  • Identify a project idea that interests you
  • Plan and design your project
  • Implement your project using Python
  • Test and debug your project
  • Deploy your project
Python Script for Data Analysis
Provides you with an opportunity to apply your skills and knowledge to a practical problem, solidifying your understanding and improving retention
Browse courses on Python
Show steps
  • Identify a dataset that you want to analyze
  • Write a Python script to clean and analyze the data
  • Generate insights and visualizations from the data
Python Coding Challenge
Provides an opportunity to test your skills against others and identify areas for improvement, motivating you to excel in the course
Show steps
  • Find a Python coding challenge
  • Practice and prepare for the challenge
  • Participate in the challenge and submit your solution

Career center

Learners who complete Working with Databases in Python 3 will develop knowledge and skills that may be useful to these careers:
Database Administrator
A Database Administrator is responsible for the day-to-day operation and maintenance of database systems. They are responsible for installing, configuring, and monitoring databases, as well as managing user access and security. The Working with Databases in Python 3 course provides a foundation in using both relational and NoSQL databases, which are essential tools for Database Administrators. By taking this course, you will gain the skills needed to manage and maintain databases, making you a valuable asset to any organization looking to protect its data.
See salaries and explore the career path for Database Administrator
Data Analyst
A Data Analyst works with data to analyze, interpret, and create visualizations to help organizations make decisions and solve problems. They are responsible for collecting and cleaning data, applying statistical methods, and presenting the results of their analysis. The Working with Databases in Python 3 course provides a foundation in using both relational and NoSQL databases, which are essential tools for Data Analysts. By taking this course, you will gain the skills needed to manage, manipulate, and interpret data, making you a valuable asset to any organization looking to make data-driven decisions.
See salaries and explore the career path for Data Analyst
Data Scientist
A Data Scientist uses scientific methods to extract knowledge and insights from data. They are responsible for developing and deploying machine learning models, as well as analyzing and interpreting data. The Working with Databases in Python 3 course provides a foundation in using both relational and NoSQL databases, which are essential tools for Data Scientists. By taking this course, you will gain the skills needed to manage and interpret data, making you a valuable asset to any organization looking to leverage data to make better decisions.
See salaries and explore the career path for Data Scientist
Database Designer
A Database Designer designs and develops database systems. They are responsible for creating data models, designing database schemas, and ensuring that databases are efficient and scalable. The Working with Databases in Python 3 course provides a foundation in using both relational and NoSQL databases, which are essential tools for Database Designers. By taking this course, you will gain the skills needed to design and develop database systems, making you a valuable asset to any organization looking to manage and store data effectively.
See salaries and explore the career path for Database Designer
Business Analyst
A Business Analyst works with stakeholders to analyze business needs and develop solutions that improve performance and efficiency. They are responsible for gathering and interpreting requirements, creating process flows, and developing prototypes. The Working with Databases in Python 3 course provides a foundation in using both relational and NoSQL databases, which are essential tools for Business Analysts. By taking this course, you will gain the skills needed to manage, manipulate, and interpret data, making you a valuable asset to any organization looking to improve its business processes.
See salaries and explore the career path for Business Analyst
Data Architect
A Data Architect designs and implements data management solutions for organizations. They are responsible for creating data models, developing data integration strategies, and ensuring that data is managed in a secure and efficient manner. The Working with Databases in Python 3 course provides a foundation in using both relational and NoSQL databases, which are essential tools for Data Architects. By taking this course, you will gain the skills needed to design and implement data management solutions, making you a valuable asset to any organization looking to leverage data to make better decisions.
See salaries and explore the career path for Data Architect
Software Engineer
A Software Engineer designs, develops, and maintains software systems. They are responsible for writing code, testing software, and debugging errors. The Working with Databases in Python 3 course provides a foundation in using both relational and NoSQL databases, which are essential tools for Software Engineers. By taking this course, you will gain the skills needed to integrate databases into your software applications, making you a valuable asset to any organization looking to build robust and scalable software systems.
See salaries and explore the career path for Software Engineer
Information Security Analyst
An Information Security Analyst protects an organization's data and computer systems from unauthorized access, use, disclosure, disruption, modification, or destruction. They are responsible for developing and implementing security policies, monitoring network traffic, and responding to security incidents. The Working with Databases in Python 3 course provides a foundation in using both relational and NoSQL databases, which are essential tools for Information Security Analysts. By taking this course, you will gain the skills needed to protect data from unauthorized access and ensure that databases are secure and compliant.
See salaries and explore the career path for Information Security Analyst
Web Developer
A Web Developer designs, develops, and maintains websites and web applications. They are responsible for writing code, creating user interfaces, and ensuring that websites are accessible and performant. The Working with Databases in Python 3 course provides a foundation in using both relational and NoSQL databases, which are essential tools for Web Developers. By taking this course, you will gain the skills needed to integrate databases into your web applications, making you a valuable asset to any organization looking to build dynamic and data-driven websites.
See salaries and explore the career path for Web Developer
Operations Analyst
An Operations Analyst is responsible for analyzing business processes to improve efficiency and effectiveness. They are responsible for collecting and cleaning data, applying statistical methods, and presenting the results of their analysis. The Working with Databases in Python 3 course may be useful for an Operations Analyst who needs to understand how databases are used to store and manage operational data. By taking this course, you will gain the skills needed to extract insights from operational data and make recommendations to improve business processes.
See salaries and explore the career path for Operations Analyst
Technical Writer
A Technical Writer creates and maintains documentation for software products, systems, and applications. They are responsible for writing user manuals, tutorials, and other technical documentation. The Working with Databases in Python 3 course may be useful for a Technical Writer who needs to understand how databases are used in software applications. By taking this course, you will gain the knowledge needed to write documentation that is accurate and easy to understand.
See salaries and explore the career path for Technical Writer
Marketing Analyst
A Marketing Analyst is responsible for analyzing marketing data to help organizations make decisions about their marketing campaigns. They are responsible for collecting and cleaning data, applying statistical methods, and presenting the results of their analysis. The Working with Databases in Python 3 course may be useful for a Marketing Analyst who needs to understand how databases are used to store and manage marketing data. By taking this course, you will gain the skills needed to extract insights from marketing data and make recommendations to improve marketing campaigns.
See salaries and explore the career path for Marketing Analyst
Business Consultant
A Business Consultant helps organizations improve their performance and solve problems. They are responsible for analyzing business processes, developing recommendations, and implementing solutions. The Working with Databases in Python 3 course may be useful for a Business Consultant who needs to understand how databases are used in business applications. By taking this course, you will gain the knowledge needed to make recommendations about how data can be used to improve business performance.
See salaries and explore the career path for Business Consultant
Product Manager
A Product Manager is responsible for the development and launch of new products and features. They are responsible for defining product requirements, working with engineers to develop the product, and marketing the product to customers. The Working with Databases in Python 3 course may be useful for a Product Manager who needs to understand how databases are used in software products. By taking this course, you will gain the knowledge needed to make decisions about how data is stored and managed in your products.
See salaries and explore the career path for Product Manager
Project Manager
A Project Manager is responsible for planning, executing, and closing projects. They are responsible for developing project plans, managing project teams, and ensuring that projects are completed on time and within budget. The Working with Databases in Python 3 course may be useful for a Project Manager who needs to understand how databases are used in software projects. By taking this course, you will gain the knowledge needed to make decisions about how data is stored and managed in your projects.
See salaries and explore the career path for Project Manager

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 Working with Databases in Python 3.
Cover image
MongoDB: The Definitive Guide
Save
Comprehensive guide to MongoDB, a popular NoSQL database.
MongoDB: The Definitive Guide
Paperback
$$
Cover image
Deep Learning
Save
Provides a comprehensive overview of deep learning. It great resource for anyone who wants to learn more about the basics of deep learning.
Deep Learning
Paperback
$$$
Deep Learning (Adaptive Computation and Machine...
Hardcover
$$$
Deep Learning (Adaptive Computation and Machine...
Kindle Edition
$$$
Cover image
Natural Language Processing with Python
Save
Provides a comprehensive overview of natural language processing. It great resource for anyone who wants to learn more about the basics of natural language processing.
Natural Language Processing with Python: Analyzing...
Paperback
$$$
Natural Language Processing with Python: Analyzing...
Kindle Edition
$$
Cover image
Speech and Language Processing. An Introduction to...
Save
Provides a comprehensive overview of speech and language processing. It great resource for anyone who wants to learn more about the basics of speech and language processing.
Speech and Language Processing An Introduction to...
Paperback
$$
Cover image
Information Theory, Inference and Learning...
Save
Provides a comprehensive overview of information theory, inference, and learning algorithms. It great resource for anyone who wants to learn more about the basics of information theory, inference, and learning algorithms.
Information Theory, Inference and Learning...
Hardcover
$$$
Cover image
Introduction to Applied Linear Algebra
Save
Provides a comprehensive overview of convex optimization. It great resource for anyone who wants to learn more about the basics of convex optimization.
Introduction to Applied Linear Algebra: Vectors,...
Hardcover
$$
Introduction to Applied Linear Algebra: Vectors,...
Kindle Edition
$$
Cover image
Database Systems: The Complete Book
Save
Provides a comprehensive overview of database systems, including relational and NoSQL databases.
Database Systems: The Complete Book
Kindle Edition
$$$
Database Systems The Complete Book
Paperback
$$
Database Systems: The Complete Book
Hardcover
$$$$
Goal Student Access Code Card for Database Systems:...
Printed Access Code
$$
Cover image
Data Science from Scratch
Save
Provides a practical introduction to data science, including coverage of relational and NoSQL databases.
Data Science from Scratch: First Principles with...
Paperback
$$
Data Science from Scratch: First Principles with...
Kindle Edition
$$
Data Science from Scratch: First Principles with...
Paperback
$$
Cover image
Database Concepts
Save
Provides a comprehensive overview of database systems, including relational and NoSQL databases.
Database Concepts
Kindle Edition
$$$
Database Concepts
Kindle Edition
$$$
Cover image
Organizations in the Network Age
Save
Provides a practical guide to data management.
Organizations in the Network Age (Routledge...
Paperback
$$
Organizations in the Network Age (Routledge...
Kindle Edition
$$

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Course image
Time
163 hours
Level
Intermediate
Via
Pluralsight
Instructor
Douglas Starnes
Language
English
Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
Explores using SQL and NoSQL databases in Python, which is standard across the software and data science industries
Taught by Douglas Starnes, who is recognized for his work in teaching and developing Python applications
Examines relational and NoSQL databases, which are highly relevant to software and data science
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