search
HomeBackend DevelopmentPython TutorialFrom zero to Software Engineer

De cero a Ingeniero de Software

? From zero to Software Engineer in 11 steps ?‍?

If you are starting your path towards software engineering, here is a detailed guide to master the basics, grow in your career and become a professional with solid knowledge, using Python as a base language.

It is impossible to cover the entire roadmap to becoming a software engineer in detail in a single article. Therefore, at each stage links to specialized resources that address specific topics are included.

1. ? Set up your development environment

Before writing your first line of code, it is crucial to have the environment ready.

  • Code Editor:

Download and configure Visual Studio Code (lightweight and flexible) or PyCharm (powerful for Python).

  • Python Installation:

Visit python.org to install the latest version.

If you are using Windows, Set the PATH on your system to run Python from the terminal.

  • Installation of additional tools:

Install pip (Python package manager) to easily install libraries.

Set up a virtual environment (venv) to isolate projects.

  • Extra:

Learn how to use Jupyter Notebook to explore interactive code.

2. ? Master the fundamentals of programming with Python

Learning the fundamentals will give you the tools to solve any problem. Focus on:

  • Basic syntax: variables, input/output (print, input).
  • Control structures: if-else, for and while loops.
  • Functions: definition, arguments, return.
  • Error Handling: Use try-except blocks to prevent your program from breaking or generating unhandled errors.
  • Collections: lists, dictionaries, tuples and sets.
  • ? Exercise: Create a basic calculator and a program that sorts a list.

? Resource: Python Basics - FreeCodeCamp.

3. ? Learn Object Oriented Programming (OOP)

OOP is key in software engineering, as it allows you to organize and reuse your code. Learn:

Classes and Objects:
python
Copy code
class Person:

def init(self, name):

self.name = name

p = Person("Ana")

print(p.name)

Encapsulation: Protect attributes with _private or __very_private.

Inheritance: Extend existing classes without rewriting everything.

Polymorphism: Methods with different behaviors.

? Practical exercise: Create a Vehicle class with attributes and subclasses such as Car or Motorcycle.

4. ?️ Learn to use Git and GitHub

Every software engineer must master version control.

Install Git:

Configure your name and email with git config.

Learn the basic Commands:

git init: Initializes a repository.
git add .: Add changes.
git commit -m "Message": Save the change.
git push: Upload your code.
? Practical project: Upload a Python script to your first repository. Make changes and view history with git log.

5. ? Develop web applications with Python

Python is excellent for backend development. Starts with:

  • Flask (light and fast): Learn to create routes (@app.route) and responses.
  • Django (complete and robust): Generate a project structure with django-admin startproject. Learn about views, models and templates.
  • ? Practical exercise: Create a basic server that displays “Hello World” and deploy your app to Heroku or Render.

6. ? Master databases

Data management is essential in software. Learn:

  • SQL: Use SELECT, INSERT, UPDATE and DELETE commands.
  • SQLite/PostgreSQL: Configure your local database.
  • ORM with Django/SQLAlchemy: Manage databases using Python code.
  • ? Practical project: Create a database that stores pending tasks and access it from your Flask app.

7. ? Improve your logic with algorithms and data structures

Problem solving improves your critical thinking. Master:

Search and sorting algorithms: binary search, merge sort.
Data structures: lists, queues, stacks, trees and graphs.
? Daily Practice:

Solve problems in LeetCode and HackerRank.

Break down big problems into smaller solutions.

8. ? Learn about Testing and code quality

Write robust code using automated tests:

Pytest: Simple and powerful framework for testing.
Doctest: Add tests in your code documentation.

Basic test example with pytest:

def sum(a, b):
return a b
def test_sum():
assert sum(2, 3) == 5

9. ? Learn about APIs and microservices

The creation of APIs allows communication between applications.

  • RESTful APIs: Use Flask or FastAPI to create routes and return data in JSON.
  • API consumption: Use libraries as requests.
  • ? Practical exercise: Create an API that sends weather data using external data such as OpenWeatherMap.

10. ? Build real projects and create a portfolio

Apply everything learned in practical projects:

  • CRUD Application: Management of tasks, users or notes.
  • Automated script: For example, a bot that checks your email.
  • REST API: Publish useful data and documentation (with Swagger).
  • Web Portfolio: Create a portfolio using Flask or Django.
  • ? Resource: Use GitHub Pages to deploy projects and show your code.

11. ? Apply and get a job

Prepare your CV and start applying for vacancies. Practice makes perfect; little by little you will improve in the interviews.

To look for a job in the IT sector, you can use a specialized portal for IT profiles such as:

  • We Work Remotely
  • Getonbrd
  • Hireline
  • Findjobit
  • Wellfound

? What's next?

Once you execute these 11 steps, consider exploring:

  • Cloud development (AWS, Azure).
  • DevOps and automation with Docker and CI/CD.
  • Distributed systems.

? Start now and advance step by step! Each line of code brings you closer to your goal: becoming a software engineer. ?

The above is the detailed content of From zero to Software Engineer. For more information, please follow other related articles on the PHP Chinese website!

Statement
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn
What are some common operations that can be performed on Python arrays?What are some common operations that can be performed on Python arrays?Apr 26, 2025 am 12:22 AM

Pythonarrayssupportvariousoperations:1)Slicingextractssubsets,2)Appending/Extendingaddselements,3)Insertingplaceselementsatspecificpositions,4)Removingdeleteselements,5)Sorting/Reversingchangesorder,and6)Listcomprehensionscreatenewlistsbasedonexistin

In what types of applications are NumPy arrays commonly used?In what types of applications are NumPy arrays commonly used?Apr 26, 2025 am 12:13 AM

NumPyarraysareessentialforapplicationsrequiringefficientnumericalcomputationsanddatamanipulation.Theyarecrucialindatascience,machinelearning,physics,engineering,andfinanceduetotheirabilitytohandlelarge-scaledataefficiently.Forexample,infinancialanaly

When would you choose to use an array over a list in Python?When would you choose to use an array over a list in Python?Apr 26, 2025 am 12:12 AM

Useanarray.arrayoveralistinPythonwhendealingwithhomogeneousdata,performance-criticalcode,orinterfacingwithCcode.1)HomogeneousData:Arrayssavememorywithtypedelements.2)Performance-CriticalCode:Arraysofferbetterperformancefornumericaloperations.3)Interf

Are all list operations supported by arrays, and vice versa? Why or why not?Are all list operations supported by arrays, and vice versa? Why or why not?Apr 26, 2025 am 12:05 AM

No,notalllistoperationsaresupportedbyarrays,andviceversa.1)Arraysdonotsupportdynamicoperationslikeappendorinsertwithoutresizing,whichimpactsperformance.2)Listsdonotguaranteeconstanttimecomplexityfordirectaccesslikearraysdo.

How do you access elements in a Python list?How do you access elements in a Python list?Apr 26, 2025 am 12:03 AM

ToaccesselementsinaPythonlist,useindexing,negativeindexing,slicing,oriteration.1)Indexingstartsat0.2)Negativeindexingaccessesfromtheend.3)Slicingextractsportions.4)Iterationusesforloopsorenumerate.AlwayschecklistlengthtoavoidIndexError.

How are arrays used in scientific computing with Python?How are arrays used in scientific computing with Python?Apr 25, 2025 am 12:28 AM

ArraysinPython,especiallyviaNumPy,arecrucialinscientificcomputingfortheirefficiencyandversatility.1)Theyareusedfornumericaloperations,dataanalysis,andmachinelearning.2)NumPy'simplementationinCensuresfasteroperationsthanPythonlists.3)Arraysenablequick

How do you handle different Python versions on the same system?How do you handle different Python versions on the same system?Apr 25, 2025 am 12:24 AM

You can manage different Python versions by using pyenv, venv and Anaconda. 1) Use pyenv to manage multiple Python versions: install pyenv, set global and local versions. 2) Use venv to create a virtual environment to isolate project dependencies. 3) Use Anaconda to manage Python versions in your data science project. 4) Keep the system Python for system-level tasks. Through these tools and strategies, you can effectively manage different versions of Python to ensure the smooth running of the project.

What are some advantages of using NumPy arrays over standard Python arrays?What are some advantages of using NumPy arrays over standard Python arrays?Apr 25, 2025 am 12:21 AM

NumPyarrayshaveseveraladvantagesoverstandardPythonarrays:1)TheyaremuchfasterduetoC-basedimplementation,2)Theyaremorememory-efficient,especiallywithlargedatasets,and3)Theyofferoptimized,vectorizedfunctionsformathematicalandstatisticaloperations,making

See all articles

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Tools

DVWA

DVWA

Damn Vulnerable Web App (DVWA) is a PHP/MySQL web application that is very vulnerable. Its main goals are to be an aid for security professionals to test their skills and tools in a legal environment, to help web developers better understand the process of securing web applications, and to help teachers/students teach/learn in a classroom environment Web application security. The goal of DVWA is to practice some of the most common web vulnerabilities through a simple and straightforward interface, with varying degrees of difficulty. Please note that this software

WebStorm Mac version

WebStorm Mac version

Useful JavaScript development tools

Atom editor mac version download

Atom editor mac version download

The most popular open source editor

EditPlus Chinese cracked version

EditPlus Chinese cracked version

Small size, syntax highlighting, does not support code prompt function

MinGW - Minimalist GNU for Windows

MinGW - Minimalist GNU for Windows

This project is in the process of being migrated to osdn.net/projects/mingw, you can continue to follow us there. MinGW: A native Windows port of the GNU Compiler Collection (GCC), freely distributable import libraries and header files for building native Windows applications; includes extensions to the MSVC runtime to support C99 functionality. All MinGW software can run on 64-bit Windows platforms.