👨‍💻DEV [Talkpython] Michael Kennedy - Эффективный PyCharm (2021)

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[Talkpython] Michael Kennedy - Эффективный PyCharm (2021)





Язык: Английский

Автор: Michael Kennedy

Видеокурс - 7,4 часа материала

В этом курсе:

* Научитесь управлять проектами на Python в PyCharm (большими и маленькими)

* Создавать веб приложения (Pyramid, Flask, Django, and more)

* Научитесь использовать специальный для data science PyCharm мод

* Научитесь уверенно рефакторить свой код на Python

* Узнаете о проблемном коде и инструментах дублирования

* Узнаете как получить доступ к git, github и использовать git flow

* Научитесь использовать визуальный отладчик, чтобы понять ход выполнения кода и состояние

* Сделаете свой код более надежным с помощью unit тестирования и pytest

* Создадите новые пакеты на Python

Содержание:

Why PyCharm and IDEs?

Welcome

What well cover

The spectrum of editors

IDEs are crazy fast

PyCharm is more than just Python

Cross-platform

Versions: Pro and Community and mapping versions to the course

PyCharm is open source

Python runtimes

How do you learn all the features of an IDE?

This is not an infomercial

Get the source code on GitHub

Meet your instructor

PyCharm Projects

Project introduction

Using the EAP version

Creating projects

Working with existing projects

Concept: Creating projects

Concept: Mark directory as...

Installing third-party packages

Search everywhere

Navigation

Run configurations

Your turn

The Editor

Editor introduction

Working with the editor demo: Downloading RSS

Working with the editor demo: Listing episodes

Working with the editor demo: Types

Syntax highlighting

Autocomplete

Code intentions - light bulb moments

Discovering new features

Concept: Actions and key bindings

Formatting and code cleanup

Code formatting for teams

Lens mode

Object-oriented features

Show tooltips, params, help, etc.

Finding usages of functions and other symbols

Introduction to Code With Me

Code With Me in action

Your turn

Source control

Source control introduction

Loading a project with source control

Concept: Accessing source control

Editor level source control

Committing changes

Concept: Editor level source control

Branching

Merging back with a pull request

Pull requests in PyCharm

Local history

Your turn

Refactoring

Refactoring introduction

What is refactoring really?

Refactoring methods and functions

Refactoring class methods

Rename refactorings

Introducing variables

Moving code

Sourcery plugin

Concept: Refactorings

Your turn

Databases

Database introduction

Why is relational data hard

Data application introduction

Adding database connections

Database diagrams

Querying data in the SQL console

Modifying the DB schema

Concept: Database features

Your turn

Server-side Python web apps

Server-side web introduction

The web IDE pyramid

Server-side features

Creating server-side projects

Template tooling

Template tooling - rendering tweets

Selecting the template language

Concept: PyCharm server-side features

Client-side web apps

Client side introduction

Basic HTML and PyCharm's live reload

JavaScript features and editor

TypeScript support

Front-end javascript frameworks

LESS > CSS

Concept: Client-side web apps

Debugging Python applications

Debugging introduction

The debugging UI

A debugging example

Conditional breakpoints

Concept: Debugging

Your turn

Packages

Packaging introduction

Opening existing packages

Creating new packages

Concept: Packaging

Your turn

Performance and profiling

Performance and profiling

Our intuition often fails us for performance

Surveying the slow application

Profiling the slow app

Optimizing the machine learning code

Optimizing the database access code

Concept: Profiling

Your turn

Unit testing

Testing introduction

Why software testing?

Surveying the application we'll test

Running pytest tests

Debugging tests

Writing the core tests

Testing failure conditions

Measuring test quality with code coverage

Concept: Testing

Concept: Coverage

Your turn

Data science tools

Introduction to the data science tools

Hold tight for DataSpell

Tool windows

Tool window introduction

The TODO window

The run window

A much better Python REPL

A preconfigured terminal

Favorites window

File structure

Your turn

Extending PyCharm with plugins

Plugins introduction

The builtin plugins

A 1,000 additional plugins

Conclusion

You've done it!

How to remember all these features

Don't forget the source code

Get the back story

Thank you and goodbye!



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