SQL: transactions and data manipulation
Databases provide a great tool for storing large masses of data. But how do we write the data correctly into it? Are there mechanisms to ensure that we get the data right? Let’s find out what transactions and their properties are, as well as basic commands for manipulating data.
SQL: creating a database
Relational databases play a key role in the design and development of any software application. Learning how to model and query a database in addition to properly manipulating data using the SQL language is within everyone’s reach. Let’s start by discovering some features of this language through the instructions for creating a database and defining its constituent tables.
Firebase: how to integrate a real-time database in Python
Firebase is a Google Cloud product that can. be used to build web applications quickly and easily. Among its features is the ability to create a NoSQL realtime database. Let’s find out how to interact with the database in a python program.
MongoDB 6.0: new features to improve applications
The new version of MongoDB provides new features to both improve the efficiency of some operations and increase developer productivity. Switching, therefore, to MongoDB 6 is an excellent choice!!!
Plotly Go: advanced visualization in Python
Visualizing data is critical to better understand the data and analysis performed. There are several tools, free and paid, that allow you to create fantastic dashboards. However, it is possible to write a few riches in Python to get great results and be more flexible depending on the project of interest. Let’s find out how to create interactive Scatter Bubble charts with Plotly Go on a real project.
Clustering: a real project to explore data
Clustering is a very powerful tool for grouping data. There are many algorithms that can be applied, so the choice is always difficult. In addition, all clustering algorithms require parameters to work. By means of a real case study, applied to real estate data, we will combine PCA, hierarchical clustering and K-means to provide optimal clustering solutions.