It’s smaller than your favorite JavaScript framework.Ĭross-Platform: SQLite is compatible with various operating systems, including Windows, macOS, Linux, and even Android and iOS. Lightweight: With a small binary size, SQLite is a great choice for apps with limited storage and memory requirements, such as mobile apps or IoT devices. You just copy the file into your folder and go. It is fully self-contained, which means all database operations are done in the application. You can now put “Able to Install SQLite Servers on any platform” on your resume without lying. Serverless and Self-Contained: SQLite doesn’t require a separate server process to run, which reduces the complexity of setting up and managing a database. Here are some key reasons why you should consider using SQLite: It’s perfect for small-scale apps, embedded systems, and situations where a full-fledged database server isn’t needed. It’s used in various applications, from embedded stuff on your phone to large web applications. SQLite is a lightweight, serverless, self-contained database management system (DBMS). If you read this blog a lot or watch my live streams you know I use it all the time. What is SQLite?Īh, good old SQLite is one of my favorite technologies ever. As you’ll see soon, it’s pretty easy to use as well. It provides a powerful and flexible way to visually represent your data. Matplotlib is a valuable tool for anyone working with data. Research and development: It’s frequently used in scientific computing and research, where data visualization is crucial in understanding and analyzing data. Some of the cool stuff it does:ĭata exploration: By creating visual representations of your data with Matplotlib, you can explore and understand the data in a way that’s impossible with just numbers and text.ĭata presentation: With Matplotlib, you can customize and format your visualizations easily, making it a great tool for creating presentations, reports, and other documents.ĭata analysis: It’s a great tool for making graphs and plots, like line plots, bar plots, histograms, and scatter plots. Matplotlib is one of Python’s most popular data visualization libraries, and for good reason. It lets you create static, animated, and interactive visualizations from data. You can skip it if you want to dig into the code. I’ll explain in depth what these technologies are. We’re using two technologies here: Matplotlib and SQLite. a SQLite Database Explorer (optional, but handy).Pulling that data from SQLite into Matplotlib:.Loading those CSV files into tables in SQLite with Python.Getting statistical data and putting it into.So we’ll load data into a database and pull it back out and make awesome graphs with it, all with Python. Not only that but we’re going to use a SQLite (my favorite) database to back it all. Today I will show you how to draw graphs with Python and Matplotlib. Greetings data junkies! We’re going to do another cool project with Python.
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