Change theme to Just the Docs

Author: macdems

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00 Algorithms.md

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+parent: Programming for Modelling and Data Analysis
+has_children: true
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+---
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+# Algorithms and Programs

00 Algorithms/1 What is an algorithm.md

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+parent: Algorithms and Programs
+grand_parent: Programming for Modelling and Data Analysis
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 # What is an algorithm?
 
 > **Ingredients:**

00 Algorithms/2 Thinking in algorithms.md

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+parent: Algorithms and Programs
+grand_parent: Programming for Modelling and Data Analysis
+nav_order:  2
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 # Thinking in algorithms
 
 An important factor of computer programs written in a formal language is the fact that it must be inhumanly precise. Imagine, you ask someone ‘*Please close the window.*’ If there are two windows in the room and only one of them is open, the person will guess you are asking to close the window, which is open. However, computer executing your program is not so clever! Instead, you must give a set of formal instructions:

00 Algorithms/3 Frontend-backend.md

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+parent: Algorithms and Programs
+grand_parent: Programming for Modelling and Data Analysis
+nav_order:  3
+---
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 # Kitchen and Dining Room
 
 Imagine you run a classical restaurant. Regardless of the type of food you are serving (whether it is classical Polish *schabowy* or Italian pasta), it should consist of at least two rooms: a dining room, where your customers place orders and later eat your delicious dish. Another room is the kitchen, where the cooks run here and there preparing these meals. Unless your restaurant is a modern hipster place, where the food is prepared in front of the customers (it is not, as you cannot afford for elegant dress for your cooks), the *kitchen* should be separated from the *dining room*! This way, your customers can enjoy their meals without constant noise of buzzing pots.

00 Algorithms/Exercises.md

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+parent: Algorithms and Programs
+grand_parent: Programming for Modelling and Data Analysis
+nav_order:  E
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 # Algorithmic thinking exercises
 
    Below you have a set of problems. In each one identify and name the necessary input, write precisely all the necessary steps (as in the examples shown earlier), and identify the algorithm result (the output).

01 Python Environment.md

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+parent: Programming for Modelling and Data Analysis
+has_children: true
+nav_order:  1
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01 Python Environment/1 What is Python.md

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+parent: Python Environment
+grand_parent: Programming for Modelling and Data Analysis
+nav_order:  1
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 # What is Python?
 
 Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Its high-level built in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components together. Python's simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages, which encourages program modularity and code reuse. The Python interpreter and the extensive standard library are available in source or binary form without charge for all major platforms, and can be freely distributed.

01 Python Environment/2 Installation.md

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+parent: Python Environment
+grand_parent: Programming for Modelling and Data Analysis
+nav_order:  2
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 # Installation
 
 As described in the introduction, the Python compiler can be downloaded and installed directly from python.org. However, it will then be necessary to manually install the required libraries for engineering and scientific calculations. Hence, this way is not recommended. Please follow the instructions below, depending on your operating system:

01 Python Environment/3 Programming Environment.md

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+parent: Python Environment
+grand_parent: Programming for Modelling and Data Analysis
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 # Programming Environment
 
 You can write your Python programs in a Notepad or any text file editor. However, I strongly discourage to do so. It is much better, to use some programming environment. There is plenty of such environments that you can use with Python, e.g. Spyder, PyCharm, Visual Studio, Visual Studio Code...