Python: Tutorial

Before continuing reading, you should keep in mind that there is no magic formula for learning a programming language. No matter how simple it is, no one can learn to use the Python language in such a short time . Unless you have experience in other programming languages.

Learning a language takes time and dedication to develop a software program or project.

Below we will explain the most basic and important aspects of Python , but this does not mean that you will be able to program right away, to see our Python tutorial continue reading. We will start with the basic features.

Python is a high-level, open-source programming language released in 1991. It aims for code readability, meaning it can be easier to learn than other languages.

It is an object-oriented, reflective, functional, imperative programming, and to a lesser extent, functional programming language. These approaches help programmers write logical and clear code. There are currently three major versions, up to Python 3. In addition, it supports a wide range of libraries to further simplify writing code.

How to learn Python step by step?

First, let's focus on the Python learning process, so you can get the most out of it.

Step 1: Define what you want to learn.

If you want to learn Python, you must be clear about the reasons or objectives for starting this path, because everything requires motivation, whether you want to get into data science, ML, AL, building websites, applications, games, or anything else.

It may even be a personal goal, or a professional one because a job requires your knowledge, whatever the reason you must have set your objectives to continue with the next step.

Step 2: Learn the basics.

Start from the very basics of Python to learn clearly and without any doubts. Learn the fundamental aspects of the language such as syntax, variables, data types, functions, etc. The points we will cover in this article will help you get started.

The key to learning is to review the theory and practice. You must put the lessons into practice, once you have mastered the basics you can move on to more advanced topics.

Step 3: Put knowledge into practice in projects.

Once you've learned the basics, try putting a project into practice and building a portfolio of the knowledge you've acquired. You can create structured projects on data science, ML, websites, mobile apps, etc.

Use the resources available in Python and work your way through more advanced topics on your own to find and debug bugs. You can find open source platforms to edit projects, volunteer for organizations, etc.

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Step 4: Be part of a community

Joining discussion groups, helping students, collaborating with experts, and expanding your knowledge will all help you learn tips and tricks to apply to your projects. You can be part of various communities, forums, and events, and you can even participate in online conferences.

Step 5: Continue practicing

Learning is a continuous process, so you should always put what you learn into practice. Keep practicing, get into the role of a full-time Python developer or as a hobbyist to create projects in the industry.

What are the features of the Python language?

If we want to learn to program in Python we must know its structure.

1. General language

This language is very versatile, it is not focused on a specific purpose, it can be used for multiple purposes. You can create pages without having a high level of knowledge, relying on Javascript or you can also create scripts or software for the Windows operating system.

2. Multiparadigm

Although it is an object-oriented program, there are other paradigms or styles that Python also allows you, for example: if you know how to program in code using methods, such as imperative programming (with loop statements) or functional programming (with modules and functions) you can use this language without problems, something that other languages do not allow you.

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Developed with the intention of understanding the importance of this programming language, its main elements, its development environment, its libraries and object-oriented programming.

3. Interpreted language

What this means is that when we program in Python , we do not compile the source code to machine code, but there is an interpreter that is responsible for executing the program based on the code directly.

While this may seem to make programs slower, in the Python language this is not usually the case and instead makes development for the next feature easier.

4. Multiplatform

Through Python you have the possibility of using it on a wide variety of devices and operating systems, interpreters have been created for Unix, Linux, Windows and Mac OS systems.

5. Dynamic typing

What this means is that when we declare a variable, we do not need to specify the data types (whether it is int, string, float, etc.). In this case, the variable adapts to what we write when the program is executed.

This was a feature criticized in other languages, due to memory issues, errors when writing the code, etc. But with this language the objective is to create software and not have to deal with particularities of the language.

Python is strongly typed, meaning that a variable can start out as one data type and then change at any time to another data type.

Which means that you won't be able to add numbers and text (an int type variable with a string type variable) because it would give an error.

This tutorial is intended to familiarize you with the basic features and structure of Python. We hope that we have made your transition to Python easier, and that this article will help you get started in the world of this programming language.