![]() ![]() Sqlite3 - embedded relational database is anĮxtensive tutorial showing many of the common create, read, update and delete ![]() How to connect to a SQLite database in Python, executing statements, Shows how to install SQLite, load data and work with the data stored in Walks through creating databases as well as inserting, updating, querying and The database in your project through SQL scripts or via an It's a good idea to brush up on the basics for using SQLite before you use Provide example code for storing user accounts, roles and authenticationĮxtendsClass is an online SQLite browser. SQLite Browser is an open source graphical user Is really handy for getting started with Scout.ĭatabase without coding up a custom web application. ![]() Is a Flask-powered search server for SQLite backends. Values (CSV), HTML, Markdown and JSON (among others) into a SQLite database Tool for converting various data formats such as comma-separated Several tools and bits of code I have found useful while coding my Source tools and example code for all kinds of edge case uses. SQLite is used in such a wide variety of industries that there are open Learn more in the data chapter or view the table of contents for all topics. Please, try again.SQLite is an implementation of the relational database concept. Meanwhile, you can try to enter any incorrect password to check if it is processed with the message: "Invalid credentials. You should expect to see the login form.įor time being, this form doesn't enable editing because you have not implemented the corresponding page. Restart the application and click any city link, then click the login link in the "Please login first" sentence. When planning your trip or vacation you often check weather data forīelow is the collection of the yearly average values for the following cities: Use SQLAlchemy declarative base syntax to describe the database. In the Data Sources and Drivers dialog, click Test connection to ensure that the data source has been configured properly.Ĭreate a Python file, user_database.py, to work with the newly created database. Optionally, right-click user_database in the Database tool window and select Properties. A foreign key is defined for the city_id column of the table to set a relation between two tables. The meteo table has four columns: city_id, month, average_humidity, and average_temperature. The city table has three columns: city_id, city_name, and city_climate (a brief text description of the city climate). Double-click each table to preview the data. You should see the following tables in the user_database database: city and meteo. If you haven't installed the SQLite database driver yet, click the and click the warning message to install the missing driver. Save the user_database file in the project root directory.ĭouble-click the added file and open the Database tool window. With P圜harm, it is quite straightforward.ĭownload the predefined database with the meteo data for five cities from the following location: Now, set up a data source for your application. Right-click the project root and select New | File, then specify requirements.txt as the filename and add the following list of the dependencies to it.Ĭlick the Install requirements link to proceed with installation of the packages. The easiest way to do that is to use project dependencies (see Use requirements.txt). Now install all the packages required for the MeteoMaster application. In the Run tool window, click the hyperlink and preview the target page. Leave the rest of the settings default and save the changes.Ĭlick Shift+F10 to run the default application. In the Location field, provide the path to the project location and type the MeteoMaster as the project name. Creating a Flask application in P圜harmĬreate a basic Flask project as described in Creating a Flask Project to start prototyping the application. EditĪ series of pages for editing city specific data.Įach HTML page has a corresponding Flask view implemented in Python code. One needs to enter the valid credentials to edit meteo data. CityĪ series of pages with the detailed information about climate in each city. The MeteoMaster is a web application that comprises the following components: Main pageĪpplication entry point that renders the scatter chart and provides links to the detailed summary of climate in a particular city. HTML to create page views and Jinja to create smart templates.įlask to orchestrate the application content. SQLite database to store data, SQLAlchemy package to perform operations with the database in Python code.
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