- Популярные видео
- Авто
- Видео-блоги
- ДТП, аварии
- Для маленьких
- Еда, напитки
- Животные
- Закон и право
- Знаменитости
- Игры
- Искусство
- Комедии
- Красота, мода
- Кулинария, рецепты
- Люди
- Мото
- Музыка
- Мультфильмы
- Наука, технологии
- Новости
- Образование
- Политика
- Праздники
- Приколы
- Природа
- Происшествия
- Путешествия
- Развлечения
- Ржач
- Семья
- Сериалы
- Спорт
- Стиль жизни
- ТВ передачи
- Танцы
- Технологии
- Товары
- Ужасы
- Фильмы
- Шоу-бизнес
- Юмор
Install Jupyter Notebook Step-by-Step (Windows 10/11) | Python Class 1
Welcome to Python Class 1! In this tutorial, you’ll learn how to download and install Python and Jupyter Notebook on Windows 11/10. By the end of this video, you’ll have a working Python environment ready for coding and data analysis.
💻 What You Will Learn in This Video:
How to check if Python is already installed.
How to download and install Python on Windows.
How to install Jupyter Notebook using pip.
How to launch Jupyter Notebook and create your first Python program.
🐍 Python Libraries & Frameworks Mastery
A comprehensive toolkit for data analysis, automation, and application development.
NumPy – Mathematical operations, arrays, and advanced data manipulation.
Pandas – Data analysis and transformation; reading/writing Excel & Google Sheets; grouping, filtering, and summarizing data.
Matplotlib – Core charting and graphing library for creating visual insights.
Seaborn – High-level, beautiful, and advanced data visualizations built on Matplotlib.
OpenPyXL – Reading, writing, and editing Excel (.xlsx) files programmatically.
Requests – Accessing and interacting with APIs via HTTP requests.
BeautifulSoup – Web scraping and HTML/XML parsing for structured data extraction.
Flask – Lightweight web framework for building web applications and RESTful APIs.
SQLAlchemy – ORM for connecting and interacting with SQL databases (MySQL, Microsoft SQL Server, etc.).
Tkinter – Creating GUI-based desktop applications with interactive elements.
Polars – Super-fast, efficient data processing and manipulation for large-scale datasets (big data).
smtplib – Sending automated emails via SMTP for workflow automation.
gspread – Reading from and writing to Google Sheets through the Google Sheets API.
Видео Install Jupyter Notebook Step-by-Step (Windows 10/11) | Python Class 1 канала SaveMyCode
💻 What You Will Learn in This Video:
How to check if Python is already installed.
How to download and install Python on Windows.
How to install Jupyter Notebook using pip.
How to launch Jupyter Notebook and create your first Python program.
🐍 Python Libraries & Frameworks Mastery
A comprehensive toolkit for data analysis, automation, and application development.
NumPy – Mathematical operations, arrays, and advanced data manipulation.
Pandas – Data analysis and transformation; reading/writing Excel & Google Sheets; grouping, filtering, and summarizing data.
Matplotlib – Core charting and graphing library for creating visual insights.
Seaborn – High-level, beautiful, and advanced data visualizations built on Matplotlib.
OpenPyXL – Reading, writing, and editing Excel (.xlsx) files programmatically.
Requests – Accessing and interacting with APIs via HTTP requests.
BeautifulSoup – Web scraping and HTML/XML parsing for structured data extraction.
Flask – Lightweight web framework for building web applications and RESTful APIs.
SQLAlchemy – ORM for connecting and interacting with SQL databases (MySQL, Microsoft SQL Server, etc.).
Tkinter – Creating GUI-based desktop applications with interactive elements.
Polars – Super-fast, efficient data processing and manipulation for large-scale datasets (big data).
smtplib – Sending automated emails via SMTP for workflow automation.
gspread – Reading from and writing to Google Sheets through the Google Sheets API.
Видео Install Jupyter Notebook Step-by-Step (Windows 10/11) | Python Class 1 канала SaveMyCode
Комментарии отсутствуют
Информация о видео
11 октября 2025 г. 14:40:44
00:13:20
Другие видео канала




















