- 13.5 hours on-demand video
- 16 articles
- 10 downloadable resources
- Full lifetime access
- Access on mobile and TV
- Certificate of Completion
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- How to leverage the power of databases (in-memory, SQLite, and PostgreSQL) to upgrade your Python applications
- Prevent common pitfalls: avoid SQL injection attacks, store database credentials securely, and optimize the performance of your applications
- Understand how databases work and how to take advantage of their features from the ground up, by building multiple projects
- This is a no-nonsense, no-frills course on fully mastering PostgreSQL and how to use it effective within and outside of your Python apps
- Learn how to work with dates and times effectively in Python applications
- Produce engaging charts, graphs, and reports using database data
Let's look at variables in Python. Variables are just names for values, which we can reuse and reset.
Python is a dynamic typed language, which means variables don't need be constrained to a specific type.
This video explores how to create programs which can change depending on some input. For example, we might ask the user if they want to continue or not.
This makes use of boolean comparisons, such as:
1 == 1 (which is True)
5 > 5 (which is False)
The boolean comparisons we have available in Python are many:
>, <, <=, >=
Objects are the natural progression from dictionaries. Instead of just holding data, objects hold another special type of data: methods.
A method is a function which operates on the object calling it. Thus, an object can use its own values to calculate outputs of methods. Very cool.
In many instances, we don't want our methods to be solely referencing the object which calls them. Sometimes, we want to reference the class of the object. Other times, we don't need either the object or the class.
@classmethod and @staticmethod are two decorators (looking at that shortly!) which extend the capabilities of methods.
One of the most confusing aspects of Python for learners is the concept of decorators.
These are things we can place on top of function definitions which allow us to extend the function by executing code before and after the function.
They are extremely powerful when used well!
- Foundational Python knowledge is required (a Python refresher is provided), as the course focuses on using PostgreSQL with Python
- A Python editor or IDE, such as Visual Studio Code or PyCharm
- You don't need to install anything more for this course, everything we do is on the cloud (although guidance to do it locally is also provided)
Master PostgreSQL and use it in your Python apps with this course!
Python and PostgreSQL are two of the most in-demand skills in the world. After completing this course, you'll be confident in adding both to your resume/CV.
In addition, all the database knowledge you'll gain in this course is easily transferable to other databases such as MySQL, Microsoft SQL Server, Amazon Redshift, Oracle, and others!
The focus of this course is on fully understanding PostgreSQL, and effectively integrating it with your Python applications. If you're a Python developer or you use Python at all, you're going to love this course!
Add data storage to your Python apps with in-memory databases, SQLite, and PostgreSQL.
Understand when and why you might want to use different types of databases in your applications.
Build a programming journal project to learn how to add a SQLite database to your application.
Create a movie watch-list app to explore how to improve your database design over time, as well as how to model different types of relationships.
Migrate the movie watch-list app to PostgreSQL to identify the differences between PostgreSQL and SQLite.
Build a polling app to learn about advanced data analysis with GROUP BY, PostgreSQL window functions, and nested queries.
Extend the polling app to work with dates and times, including how to avoid common timezone pitfalls.
Learn how to structure Python apps professionally, to make development easy when working with databases.
Explore advanced SQL and PostgreSQL concepts such as user-defined functions, stored procedures, locking, and async database connections with Python.
Take all your knowledge and apply it to produce data analysis reports and charts using matplotlib.
As you can see, there's a lot to do!
But this course is a no-nonsense, no-frills course. Every lecture has been planned, crafted, and edited to be perfectly concise and to the point. That way, you can take the most from this course, quickly and easily.
Throughout the course, we have animated diagrams to explain database concepts, as well as code-along videos when we're working with Python. But you won't just be watching me code! I've carefully planned and mapped out every project and feature we add, and I encourage you to try them on your own first, before following along with me!
Also, throughout the course I provide data sets with challenges and exercises for you to practice what you've learned.
I've been teaching and helping students online for over 7 years, and this course is the culmination of my teaching experience. I know how to help you understand concepts fully and quickly, in the best way for you.
Upon completing this course you'll be able to easily extend your Python applications with database functionality. You'll know how to answer questions using data, and you'll definitely be able to list PostgreSQL as one of your strongest skills.
I'll see you on the inside!
Check out the free preview videos for more information and to try out the course!
- Beginner Python developers who want to take the next step in upgrading their applications by leveraging the power of databases.
- Any Python developer who is not familiar with databases and wants to fully understand their choices before using one in their applications
- Business analysis and data scientists who want to create larger applications or interact with larger data sets through a database