Python desde cero | Curso tutorial completo gratis incluye Pandas y despliegue de API REST

Introduction

This tutorial provides a comprehensive guide to learning Python from scratch, as presented in the YouTube video by Sergie Code. It covers the essentials of Python programming, including installations, syntax, data types, and practical projects, making it suitable for beginners interested in data analysis and web development.

Step 1: Understanding Python

• Python is a high-level, interpreted programming language known for its clear and readable syntax.
• It is widely used in various fields such as web development, data analysis, artificial intelligence, and automation.

Step 2: Installing Necessary Tools

• Download and install Python from the official website.
• Install Visual Studio Code (VS Code) as your integrated development environment (IDE).
• Set up Git for version control.
• Use the following links for installation guidelines:
  • Gist of Installations

Step 3: Configuring Visual Studio Code

• Open VS Code and install the Python extension from the marketplace.
• Configure your workspace settings for Python development, such as selecting the Python interpreter.

Step 4: Learning Basic Syntax

• Understand the importance of indentation in Python.
• Use comments to make your code more readable, using # for single-line comments.

Step 5: Working with Variables

• Create variables to store data.
• Example:

  my_variable = 10
  

Step 6: Exploring Data Types

• Familiarize yourself with different data types:
  • Numbers (integers and floats)
  • Strings
  • Booleans

Step 7: Utilizing Operators

• Learn about arithmetic, comparison, and logical operators.
• Example of arithmetic operator:

  result = 5 + 3
  

Step 8: Implementing Conditional Statements

• Use if, elif, and else to control the flow of your program.
• Example:

  if my_variable > 5:
      print("Greater than 5")
  

Step 9: Creating Loops

• Understand how to use while and for loops to repeat actions.
• Example of a for loop:

  for i in range(5):
      print(i)
  

Step 10: Working with Data Structures

• Learn to use lists, tuples, sets, and dictionaries.
  • Lists: my_list = [1, 2, 3]
  • Tuples: my_tuple = (1, 2, 3)
  • Sets: my_set = {1, 2, 3}
  • Dictionaries: my_dict = {"key": "value"}

Step 11: Defining Functions

• Create reusable code blocks using functions.
• Example:

  def my_function(param):
      return param * 2
  

Step 12: Utilizing Advanced Concepts

• Explore lambda functions for concise function definitions.
• Example:

  my_lambda = lambda x: x + 1
  

Step 13: Practical Projects

• Engage in hands-on projects to solidify your knowledge:
  1. Number Guessing Game
  2. Hangman Game
  3. Contact Agenda
  4. Measurement Converter
  5. Backend API REST with FastAPI

Step 14: Deploying Your Application

• Learn how to deploy your API using Render.
• Use Postman to test your API endpoints.

Conclusion

This tutorial offers a structured approach to learning Python, covering key concepts and practical applications. By following these steps, you will be well-equipped to create your own applications and delve deeper into the world of programming. Don't forget to explore the provided resources for additional support and project repositories to enhance your learning experience. Happy coding!