Python 教程

Analyze poker hands with Python and easily implement statistical concepts such as combinations, permutations, (in)dependent events and expected value.

Learn about Python tuples: what they are, how to create them, when to use them, what operations you perform on them and various functions you should know.

Learn to set up a data science environment on Google Cloud: create an instance on Google Compute Engine, install Anaconda and run Jupyter notebooks!

In this tutorial, data science meets Search Engine Marketing: learn to create Google AdWords campaigns by generating keywords and ad templates with Python!

With this beginner tutorial, you'll start to explore PEP-8, Python's style guide, so that you can start formatting your code correctly to maximize its readability!

In this tutorial, you'll learn all about Python Strings: slicing and striding, manipulating and formatting them with the Formatter class, f-strings, templates and more!

Get Google Trends data of keywords such as 'diet' and 'gym' and see how they vary over time while learning about trends and seasonality in time series data.

Learn how feature engineering can help you to up your game when building machine learning models in Kaggle: create new columns, transform variables and more!

Learn how to build your first machine learning model, a decision tree classifier, with the Python scikit-learn package, submit it to Kaggle and see how it performs!

In this Kaggle tutorial, you'll learn how to approach and build supervised learning models with the help of exploratory data analysis (EDA) on the Titanic data.

Learn all about Python dictionary comprehension. Learn how you can use it to create dictionaries, to replace (nested) for loops or lambda functions with map(), filter(), reduce(), and more!

Get introduced to Python data structures: learn more about data types and primitive as well as non-primitive data structures, such as strings, lists, stacks, etc.