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@@ -68,7 +68,7 @@ There are many databases of many types.
A database could be a single file called `heroes.db`, managed with code in a very efficient way. An example would be SQLite, more about that in a bit.


### A server database
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@@ -80,11 +80,11 @@ In this case, your code would talk to this server application instead of reading
The database could be located in a different server/machine:


Or the database could be located in the same server/machine:


The most important aspect of these types of databases is that **your code doesn't read or modify** the files containing the data directly.
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@@ -98,7 +98,7 @@ In some cases, the database could even be a group of server applications running
In this case, your code would talk to one or more of these server applications running on different machines.


Most of the databases that work as server applications also support multiple servers in one way or another.
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@@ -257,7 +257,7 @@ For example, the table for the teams has the ID `1` for the team `Preventers` an
As these **primary key** IDs can uniquely identify each row on the table for teams, we can now go to the table for heroes and refer to those IDs in the table for teams.
So, in the table for heroes, we use the `team_id` column to define a relationship to the *foreign* table for teams. Each value in the `team_id` column on the table with heroes will be the same value as the `id` column of one row in the table with teams.
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@@ -279,7 +279,7 @@ For example this **Relation** or table:
* **Mapper**: this comes from Math, when there's something that can convert from some set of things to another, that's called a "**mapping function**". That's where the **Mapper** comes from.


We could also write a **mapping function** in Python that converts from the *set of lowercase letters* to the *set of uppercase letters*, like this:
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馃嵄 Update SVG files, a single file per diagram, sans-serif fonts #1373
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馃嵄 Update SVG files, a single file per diagram, sans-serif fonts #1373
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