Desenvolvedor Python

Adquira as habilidades de construção de carreira que você precisa para desenvolver software com sucesso, manipular dados, realizar análises avançadas de dados e se tornar um desenvolvedor Python. Não é necessário ter experiência prévia em codificação; você pode começar sua jornada para se tornar um desenvolvedor Python hoje mesmo! Neste curso, você aprenderá a manipular dados, escrever código Python eficiente e trabalhar com dados desafiadores, incluindo dados de data e hora, dados de texto e dados da Web usando APIs. À medida que suas habilidades aumentarem, você passará a escrever funções Python e a fazer testes unitários - uma habilidade essencial necessária para encontrar bugs no seu código antes dos usuários! Por meio de exercícios interativos, você também ganhará experiência trabalhando com bibliotecas poderosas do Python, incluindo NumPy, pytest e pycodestyle, que o ajudarão a realizar tarefas importantes de programação, como desenvolvimento da Web, análise de dados e automação de tarefas. Ao terminar este curso, você terá uma sólida compreensão do que é necessário para se tornar um desenvolvedor Python e terá as habilidades para começar a trabalhar como tal.

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Introdução ao Python

4 hours

Python intermediário

4 hours

Investigating Netflix Movies

Apply the foundational Python skills you learned in Introduction to Python and Intermediate Python by manipulating and visualizing movie data.

2 hours

Manipulação de dados com pandas

4 hours

Exploring NYC Public School Test Result Scores

Use data manipulation and summary statistics to analyze test scores across New York City's public schools!

2 hours

Python Data Science Toolbox (Part 1)

Learn the art of writing your own functions in Python, as well as key concepts like scoping and error handling.

3 hours

Python Data Science Toolbox (Part 2)

Continue to build your modern Data Science skills by learning about iterators and list comprehensions.

4 hours

Data Types for Data Science in Python

Consolidate and extend your knowledge of Python data types such as lists, dictionaries, and tuples, leveraging them to solve Data Science problems.

4 hours

Writing Efficient Python Code

Learn to write efficient code that executes quickly and allocates resources skillfully to avoid unnecessary overhead.

4 hours

Working with Dates and Times in Python

Learn how to work with dates and times in Python.

4 hours

Regular Expressions in Python

Learn about string manipulation and become a master at using regular expressions.

4 hours

Raspagem da Web em Python

4 hours

Writing Functions in Python

Learn to use best practices to write maintainable, reusable, complex functions with good documentation.

4 hours

Data Structures and Algorithms in Python

Explore data structures such as linked lists, stacks, queues, hash tables, and graphs; and search and sort algorithms!

4 hours

Introduction to Shell

The Unix command line helps users combine existing programs in new ways, automate repetitive tasks, and run programs on clusters and clouds.

4 hours

Introduction to Git

Familiarize yourself with Git for version control. Explore how to track, compare, modify, and revert files, as well as collaborate with colleagues using Git.

4 hours

Software Engineering Principles in Python

Learn about modularity, documentation, and automated testing to help you solve data science problems more quickly and reliably.

4 hours

Developing Python Packages

Learn to create your own Python packages to make your code easier to use and share with others.

4 hours

Introduction to Testing in Python

Master Python testing: Learn methods, create checks, and ensure error-free code with pytest and unittest.

4 hours

Object-Oriented Programming in Python

Dive in and learn how to create classes and leverage inheritance and polymorphism to reuse and optimize code.

4 hours

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