米国AI開発者がゼロから教えるPython入門講座 from Udemy

米国AI開発者の講師が，Pythonをゼロからやさしくわかりやすく教えます．

本当にゼロから教えるので，プログラミングの経験がなくてもOKです．

Pythonの基礎のみならず，オブジェクト指向やデータベースの扱い方など，応用的な内容も含むのでPython経験者でも新たに学習する内容は沢山あります．

-Pycharmというツールを使ってPythonの書き方を学習していきます．

-実際の開発の現場目線で重要なこと/気をつけることなどを盛り込んだ，実践的なコードの書き方を学習します．

-演習を随所に散りばめた構成になっており，実際にハンズオンでコードを書くことでより講義で学習した内容を定着できるように工夫しています．是非ハンズオンで受講ください！

-未経験者でもわかるように，やさしいレベルからスタートしています．ご自身のレベルに合わせて，スタートするセクション/ペースを決めてください．

-受講中に書いたコードは全てダウンロード可能です．学習に役立ててください．

-講義はMacを使って進めていきます．Mac推奨としていますがPythonの用法はOSに寄らないため，WindowsやLinuxでも問題なく学習した内容を活かせます，Mac以外のOSで学習する場合は，適宜コマンドやツールのインストールなどご自身で調べていただければ幸いです．

それでは，Happy Coding. ☆

What's inside

Syllabus

本講座の概要を解説します

本講座について

Python学習のロードマップ

Pythonの歴史

Pythonを触ってみよう！

本講座の資料

本講座で必要なツールをインストールします

Pythonのインストール

Pycharmのインストール

windowsをお使いの方へ

Pycharmの使い方

Pythonの基本的な文法を学びます

文字列型(strings)

変数に代入する(assignment)

文字列を補完するformatメソッド

fstring

Built-in Function

数値型(numeric)

数値演算子(numeric operator)

エラー

Boolean型(bool)

比較演算子(関係演算子)

is演算子

論理演算子(logical operator)

if文でのNone

input関数

リスト型(lists)

リスト型のメソッド

Slicing

リスト結合

joinとsplit

in演算子

forループ

range

whileループ

ループのelse

enumerate

リスト内包表記(List Comprehension)

タプル型(tuples)

ディクショナリー型(dictionaries)

ディクショナリーのメソッド

ディクショナリーの課題(Challenge)

セット型(sets)

型変換(Casting)

mutableとimmutable

Pythonで関数を定義できるようになります．また，再帰関数やデコレーター・クロージャーなども理解できます．

関数の基礎

return

引数(parameter)

*argsと**kwargs

値渡しと参照渡し

Type annotation (Type hint)

変数のスコープ(scope)

グローバル変数(global variable)

関数のネスト(nested function)

カプセル化(encapsulation)

クロージャ(closure)

デコレータ(decorator)

再帰関数(recursive function)

ラムダ関数(lambda)

docstring

Pythonのモジュールの仕組みについて学習します．

import

sysモジュール

サードパーティライブラリ

built in module (re: 正規表現)

built in module (time)

built in function (dir())

__name__と__main__

パッケージ(package)

__init__,py

相対import (relative import)

Pythonでオブジェクト指向のプログラミングができるようになります

オブジェクト指向とは

クラス(class)

インスタンスでできること

インスタンス変数(instance variable)とクラス変数(class variable)

クラス作成課題

スタティックメソッド(static method)

クラスメソッド(class method)

名前修飾(name mangling)

getterとsetter

プロパティデコレータ(property decorator)

継承(inheritance)

継承時のコンストラクタ

オーバーライド(overriding)

継承時のスタティックメソッドとクラスメソッド

継承時の名前修飾

ポリモーフィズム(polymorphism)

ダックタイピング(duck typing)

クラスに書くdocstring

PythonのStyle Guideを学びます．Style Guideを学ぶことによってPythonのコードを読みやすく，標準化された形で書くことができます

Style Guideとは

変数の定義

行の折り返し

importの書き方

コメントの書き方

命名規則(name convention)

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

このコースは、プログラミングの経験がない初心者を対象に、Pythonの基礎をわかりやすく教えています。

実践的なコードの書き方を学ぶ演習が随所に散りばめられており、講義で学んだ内容をより効果的に定着させることができます。

オブジェクト指向やデータベースの扱い方など、応用的な内容も扱っているので、Python経験者でも新たに学習できる内容が豊富です。

講師は米国AI開発者の経験者で、現場目線で重要なポイントや注意事項を盛り込んだ講義を行っています。

受講中に書いたコードはすべてダウンロード可能で、学習に役立てることができます。

このコースはPycharmというツールを使用してPythonの書き方を学習します。

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in 米国AI開発者がゼロから教えるPython入門講座 with these activities:

勉強会に参加する

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他の受講者と勉強会に参加することで、理解を深め、モチベーションを維持することができます。

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他の受講者とつながる
定期的に勉強会を開催する
理解していることを共有し、理解していないことを質問する

他の学習者を指導する

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他の学習者を指導することで、自分の理解を深め、指導者としてのスキルを向上させることができます。

Show steps

オンラインフォーラムやコミュニティに参加する
質問に答えたり、アドバイスを提供したりする
必要に応じて、他の学習者と直接つながる

Show all two activities

Career center

Learners who complete 米国AI開発者がゼロから教えるPython入門講座 will develop knowledge and skills that may be useful to these careers:

Data Scientist

Data Scientists use scientific methods, processes, algorithms, and systems to extract knowledge and insights from data in various forms, both structured and unstructured. This course can help you get started as a Data Scientist because you will learn how to use Python to collect, clean, and analyze data. You will also learn how to use Python to build machine learning models that can be used to make predictions and solve problems.

See salaries and explore the career path for Data Scientist

Machine Learning Engineer

Machine Learning Engineers design, build, and maintain machine learning systems. They work on a variety of tasks, such as data collection, feature engineering, model training, and model deployment. This course can help you get started as a Machine Learning Engineer because you will learn how to use Python to build machine learning models. You will also learn how to use Python to deploy machine learning models to production systems.

See salaries and explore the career path for Machine Learning Engineer

Software Engineer

Software Engineers design, build, and maintain software applications. They work on a variety of tasks, such as requirements gathering, design, coding, testing, and deployment. This course can help you get started as a Software Engineer because you will learn how to use Python to build software applications. You will also learn how to use Python to test and deploy software applications.

See salaries and explore the career path for Software Engineer

Data Analyst

Data Analysts collect, clean, and analyze data to help businesses make better decisions. They work on a variety of tasks, such as data mining, data visualization, and statistical analysis. This course can help you get started as a Data Analyst because you will learn how to use Python to collect, clean, and analyze data. You will also learn how to use Python to visualize data and perform statistical analysis.

See salaries and explore the career path for Data Analyst

Business Analyst

Business Analysts help businesses understand their data and make better decisions. They work on a variety of tasks, such as requirements gathering, process mapping, and data analysis. This course can help you get started as a Business Analyst because you will learn how to use Python to collect, clean, and analyze data. You will also learn how to use Python to visualize data and communicate your findings to business stakeholders.

See salaries and explore the career path for Business Analyst

Product Manager

Product Managers are responsible for the planning, development, and launch of new products. They work on a variety of tasks, such as market research, product design, and product marketing. This course can help you get started as a Product Manager because you will learn how to use Python to collect, clean, and analyze data. You will also learn how to use Python to build prototypes and mockups of new products.

See salaries and explore the career path for Product Manager

Project Manager

Project Managers are responsible for planning, executing, and closing projects. They work on a variety of tasks, such as project planning, resource management, and risk management. This course can help you get started as a Project Manager because you will learn how to use Python to manage projects. You will also learn how to use Python to track project progress and communicate with stakeholders.

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Operations Research Analyst

Operations Research Analysts use mathematical and statistical techniques to solve business problems. They work on a variety of tasks, such as supply chain optimization, inventory management, and scheduling. This course can help you get started as an Operations Research Analyst because you will learn how to use Python to solve mathematical and statistical problems. You will also learn how to use Python to build simulation models.

See salaries and explore the career path for Operations Research Analyst

Quantitative Analyst

Quantitative Analysts use mathematical and statistical techniques to analyze financial data. They work on a variety of tasks, such as risk management, portfolio optimization, and trading. This course can help you get started as a Quantitative Analyst because you will learn how to use Python to analyze financial data. You will also learn how to use Python to build financial models.

See salaries and explore the career path for Quantitative Analyst

Data Engineer

Data Engineers design, build, and maintain data pipelines. They work on a variety of tasks, such as data integration, data cleansing, and data warehousing. This course can help you get started as a Data Engineer because you will learn how to use Python to build data pipelines. You will also learn how to use Python to clean and transform data.

See salaries and explore the career path for Data Engineer

Database Administrator

Database Administrators are responsible for the maintenance and performance of databases. They work on a variety of tasks, such as database design, database optimization, and database backup and recovery. This course can help you get started as a Database Administrator because you will learn how to use Python to interact with databases. You will also learn how to use Python to perform database administration tasks.

See salaries and explore the career path for Database Administrator

Web Developer

Web Developers design, build, and maintain websites. They work on a variety of tasks, such as front-end development, back-end development, and web testing. This course can help you get started as a Web Developer because you will learn how to use Python to build websites. You will also learn how to use Python to test websites.

See salaries and explore the career path for Web Developer

Cybersecurity Analyst

Cybersecurity Analysts are responsible for protecting computer systems and networks from cyberattacks. They work on a variety of tasks, such as security risk assessment, security incident response, and security monitoring. This course may help you get started as a Cybersecurity Analyst because you will learn how to use Python to perform security tasks. You will also learn how to use Python to analyze security data.

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Technical Writer

Technical Writers create and maintain technical documentation. They work on a variety of tasks, such as writing user manuals, white papers, and technical reports. This course may help you get started as a Technical Writer because you will learn how to use Python to write code snippets and examples. You will also learn how to use Python to create documentation.

See salaries and explore the career path for Technical Writer

Computer Network Architect

Computer Network Architects design, build, and maintain computer networks. They work on a variety of tasks, such as network design, network optimization, and network security. This course may help you get started as a Computer Network Architect because you will learn how to use Python to network computers. You will also learn how to use Python to troubleshoot network problems.

See salaries and explore the career path for Computer Network Architect