Python + Spanish + Mp4

Comienza a programar usando el lenguaje Python

A beginner’s guide to creating your own application with Python

When should you use Python’s built-in data types, and when should you develop your own? In this video course, George Heineman introduces Python programmers to several important data structures and demonstrates their use with example algorithms. Generic data structures such as arrays, linked lists, and stacks can solve many problems, but to work through some specialized problems, you need to learn different ways to structure data appropriately.

This course shows you how to build data pipelines and automate workflows using Python 3. From simple task-based messaging queues to complex frameworks like Luigi and Airflow, the course delivers the essential knowledge you need to develop your own automation solutions. You'll learn the architecture basics, and receive an introduction to a wide variety of the most popular frameworks and tools.

Even though computers can't read, they're very effective at extracting information from natural language text. They can determine the main themes in the text, figure out if the writers of the text have positive or negative feelings about what they've written, decide if two documents are similar, add labels to documents, and more.

Don't be limited by the Python you already know. You're ready to move beyond the skills you use everyday to more ambitious programming—and you're in the right place. Part of Python's appeal is how easily it can be used for a wide range of purposes. Get ready to learn some of the amazing features that are unique to Python and see how powerful it can be.

Learn how to make your Python code more efficient by using algorithms to solve a variety of tasks or computational problems. In this video course, you’ll learn algorithm basics and then tackle a series of problems—such as determining the shortest path through a graph and the minimum edit distance between two genomic sequences—using existing algorithms.

Rising in popularity alongside data science, it’s easy to forget that Python has a wide range of applications outside of crunching numbers and outputting graphs. This Learning Path will take you through a tour of the language from the fundamentals right up to more advanced patterns that help make your code more expressive, efficient and readable.