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%% Cell type:markdown id: tags:
# Python course 2023 - Exercises B
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## Part2 - loops
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---
2.1) Write a function counting to 100 and printing all numbers which can be divided by 4 without any residue!
* Info: 10%2 #modulo division in Python
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```
```
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---
2.2) Write a function counting down from 1000 to 0 and printing all numbers!
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```
```
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---
2.3) Generate a list of species names! Write a function printing all species names starting with "E"!
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```
```
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---
2.4) Expand this function to limit the printing to species names which are additionally shorter than 10 characters!
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```
```
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---
2.5) Expand this function to limit the printing to species names which are additionally ending with "a".
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```
```
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## Bonus Tasks
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![image.png](data:image/png;base64,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)
%% Cell type:code id: tags:
```
```
%% Cell type:markdown id: tags:
![image.png](data:image/png;base64,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)
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```
%% Cell type:markdown id: tags:
![image.png](data:image/png;base64,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)
%% Cell type:code id: tags:
```
```
%% Cell type:markdown id: tags:
![image.png](data:image/png;base64,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)
%% Cell type:code id: tags:
```
```
%% Cell type:markdown id: tags:
![image.png](data:image/png;base64,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)
%% Cell type:code id: tags:
```
```
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