db-env 0.4.2

Creating relational databases with SQLite but easier. More information follows.

**Version 0.4**



--- What can db_env do? --- 

db_env aims to make it easier and more straight forward to create relational database environments within Python. db_env uses SQLite and Pandas as dependencies. Currently db_env holds the following functions:

- create_connect_db --> connecting to newly created database

- create_table_sql --> connecting to database and creating tables within

- insert_data_sql --> connecting to database and inserting data

- select_data_sql --> connecting and fetching data from chosen tables. It automatically creates a new Pandas dataframe for further analysis.





--- important Info: --- 

- this library needs SQLite3 and Pandas in addition. As dependencies all packages will be installed automatically.

- SQL-Usage: db_env uses SQLite and therefore SQL-statements for creating, calling and manipulating data. 

- it is encouraged to import your writen SQL-strings from another py-file as a variable (e.g. ENUM). However, you can directly insert your SQL-statement as a string into the function.



--- Example SQL-statements for existing functions: --- 

--> create_table_sql = 

"DROP TABLE IF EXISTS ORDERS; CREATE TABLE ORDERS(ID INTEGER, NAME VARCHAR(30));"



--> insert_data_sql = 

"INSERT INTO ORDERS (ID, NAME) VALUES (1, 'Frank');" 

or 

(f'''INSERT INTO ORDERS (ID, NAME) VALUES 

                         (5, 'John'),

                         (6, 'Tobias'),

                         (7, 'Lisa');''', "orders.db")



--> select_data_sql = 

"SELECT * FROM ORDERS;"





--- Goal for upcoming versions: --- 

- Functions which give user the option to write his own SQL-statements into an extra Python file and call writen SQL-strings as variables into your working environment.

- Functions to collect and insert data from called API.





-------------- CHANGES in VERSION 0.4 --------------

2024-02-25



- installed dependencies (Pandas)

- created function to select data from db and create dataframe

- created function to insert data into database manually



----------------------------------------------------