Released: Oct 4, 2021

September 2021 での更新項目

機能

What's new in Java

• Added new Swing project:
  • Graph-Algorithms Visualizer (Alpha).
• Added new topics:
  • Modules.
  • Introduction to logging in Java.
  • Switch expression.
  • Async methods (Spring Boot).

What's new in Python

• Added new projects:
  • Honest Calculator (Beta).
  • Create Glowing Bacteria (Beta).
• Added new topics:
  • Django:
    • Django MVC.
    • Starting a project.
  • Additional instruments:
    • find() under the hood.
    • sort() under the hood.
    • ast module.
  • Control flow > Functions:
    • Function annotations.
    • Python unpacking operators (* and **)
  • Python libraries:
    • SQL Alchemy updating and deleting data.
  • Working with data:
    • The string module.
    • The Shutil module.
  • Code quality:
    • Logging.

What's new in Kotlin

• Added new topics:
  • Additional instruments:
    • Thread as object.
    • Debugging simple constructs.
    • Custom threads.
    • Advanced debugger features.
  • Control flow:
    • Function references.
  • OOP:
    • Generics and Any.
    • Inheritance and constructors.
    • Type aliases.
  • Types and data structures:
    • MutableMap.

What's new in Android

• Added new topics:
  • Activity.
  • Android Studio Tool Windows.

What's new in Frontend

• Added new project:
  • Hyperskill Cafe (Alpha).
• Added new topics:
  • Execution context.
  • Introduction to JSX.

What's new in Go

• Added new project:
  • Simple Chatty Bot (Beta).
• Added new topics:
  • Pointers.
  • Slices.
  • Working with slices.
  • Modules.
  • Packages.
  • Strings.

What's new in Data Science

• Added new topics:
  • Ensemble methods.
  • Searching within a pandas DataFrame.
  • Multiple linear regression.
  • Logistic regression.
  • Logistic regression in sklearn.
  • Regularized regression.
  • Regularized regression in sklearn.

What's new in Math

• Added new topics:
  • Vectors, matrices and tensors.
  • Finding probabilities.

What's new in Fundamentals

• Added new topics:
  • Algorithms and structures:
    • Comparing the shortest path algorithms.
    • Searching problem.
  • Databases and SQL:
    • Grant, Revoke.
  • Dev tools:
    • Introduction to docker, installation.
    • Foreground and background jobs.
    • Loops and sequences.
    • Run the “hello-world” docker container.
    • Getting information about processes.
  • Essentials:
    • Color models and color spaces.
    • Introduction to software architecture.
    • Virtualization.
    • Class Diagrams.
    • Paradigms.
  • UI/UX:
    • Feedback.
    • Input fields and field labels.
    • Information architecture.