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A Guided Path to Problem-Solving: The Softanza Mental Model

The Softanza Mental Model is a guiding principle for solving problems step-by-step through progressive exploration and manipulation of data.

par Mansour Ayouni · dans le dépôt depuis le 2024-12-15 · essai de paradigme · domaine Traitement du langage et linguistique

Cet article est écrit en anglais, comme la bibliothèque.

A programmer in a futuristic lab using a holographic interface to explore data step-by-step.


Introduction

This model addresses the challenge of navigating the thousands of features in the Softanza library. Instead of being overwhelmed by its extensive feature set, programmers are encouraged to focus on their problem, select the appropriate Softanza object—whether basic (like stzString, stzList, or stzNumber) or elaborated (like stzTable, stzHashList, or stzGrid)—and craft their solution by following this intuitive, accurate, memorable, and learnable approach.

Key Steps of the Softanza Mental Model

1. Define Your Problem

Start by precisely expressing your problem in natural terms. This will help identify relevant keywords that guide the object selection process.

Example:

Problem: Exploring empty strings inside a list.

Keywords extracted: - "empty strings": Softanza has functions to handle these directly, - "list": Softanza provides stzList, and - the combination of both: checking empty strings within a list is also direclty supported by Softanza.

2. Select the Appropriate Object

Use the keywords from the problem definition to identify the Softanza object that best represents the data or problem you are working on. This could be a simple structure like a string or list, or a more complex one like a table or grid.

Example:

Haro
o1 = new stzList([ "A", "", "B", "", "", "C" ])

illustration

In this case, a list is chosen to represent a sequence of values where some are empty strings.

3. Ask the Containment Question

Determine whether the dataset contains elements that meet a specific condition.

Example:

Haro
? o1.ContainsEmptyStrings()
#--> TRUE

exécuté le 2026-10-08 20:58 au commit 4a184e6f0 : a tenu sa promesse

Here, we check if the list contains any empty strings. The answer is TRUE, indicating further action is warranted.

4. Ask the Count Question

If the condition is met, quantify how many elements satisfy it.

Example:

Haro
? o1.CountEmptyStrings() + NL
#--> 3

exécuté le 2026-10-08 20:58 au commit 4a184e6f0 : a tenu sa promesse

We find that there are three empty strings in the list.

5. Ask for the Positions

Identify the exact positions of the elements that match the condition.

Example:

Haro
? o1.FindEmptyStrings()
#--> [ 2, 4, 5 ]

exécuté le 2026-10-08 20:58 au commit 4a184e6f0 : a tenu sa promesse

The indices of the empty strings are [2, 4, 5].

6. Take Action on the Positions

Once you know the positions, decide what to do with the elements at those positions. Actions can include retrieving them, removing them, or replacing them.

#### Get items at positions

Get the items by their positions.

Haro
? o1.ItemsAtPositions( o1.FindEmptyStrings() )
#--> [ "", "", "" ]

# Or by calling the dedicated method

? o1.EmptyStrings()

illustration

#### Replace items at positions

Replace the identified elements with a specified value.

Haro
o1.ReplaceItemsAtPositions( o1.FindEmptyStrings(), :With = "~")
? o1.Content()
#--> [ "A", "~", "B", "~", "~", "C" ]

# Or you can do better by calling directly the dedicated method

 o1.ReplaceEmptyStrings(:With = "~")

exécuté le 2026-10-08 20:58 au commit 4a184e6f0 : a tenu sa promesse

The empty strings are replaced with ~, transforming the list.

#### Remove items at positions

Or remove the identified elements altogether.

Haro
o1 = new stzList([ "A", "", "B", "", "", "C" ])
o1.RemoveItemsAtPositions( o1.FindEmptyStrings() )
#--> [ "A", "B", "C" ]

# Or better then this, you can use directly

o1.RemoveEmptyStrings()

illustration

The empty strings are eliminated, leaving a cleaner dataset.

7. Celebrate Your Achivement

And repeat the same process for continued success.

The Power of the Softanza Mental Model

The Softanza Mental Model is not merely a set of steps but a way of thinking about problems. Starting with the definition of the problem and the selection of an appropriate object, it leads you through progressively detailed inquiries until you reach a point of confident action. Each stage builds upon the last, ensuring clarity and precision in problem-solving.

This systematic approach demonstrates that the extensive Softanza feature set is not a hurdle but an enabler of creative and efficient solutions. Whether working with strings, lists, or other structures, the model helps programmers dissect, understand, and transform their data in a logical and effective manner.

Broader Implications

The Softanza Mental Model embodies a universal computational philosophy: "Focus on the problem, refine your inquiries, and act decisively." It is a pathway not only for working with code but also for tackling complex algorithmic challenges in any domain. By adopting this model, programmers can approach their problems with a structured mindset, ensuring consistent and reliable outcomes.

Lectures liées

Citer

Mansour Ayouni. « A Guided Path to Problem-Solving: The Softanza Mental Model ». Softanza narrations, 2024. https://mayouni.github.io/stzsite/fr/narrations/stz-mental-mode-narration.html

Exécuté au nom de Haro le 2026-10-08 20:58 dans la bibliothèque au commit 4a184e6f0, bloc après bloc dans un seul processus : 4 bloc(s) sur 7 ont tenu leur promesse ; les autres sont des illustrations. Le code des articles est du code Haro. Là où un article a été écrit avant que la langue prenne son nom actuel, le nom a été changé et rien d'autre. Genre, domaine et série lus dans le nom du fichier, année tirée du premier commit : dérivés, jusqu'à ce que l'article porte son propre en-tête. Le fichier sur GitHub(s'ouvre dans un nouvel onglet)