Logo video2dn
  • Сохранить видео с ютуба
  • Категории
    • Музыка
    • Кино и Анимация
    • Автомобили
    • Животные
    • Спорт
    • Путешествия
    • Игры
    • Люди и Блоги
    • Юмор
    • Развлечения
    • Новости и Политика
    • Howto и Стиль
    • Diy своими руками
    • Образование
    • Наука и Технологии
    • Некоммерческие Организации
  • О сайте

Скачать или смотреть Python for Data Science Course | Lecture 1: Introduction to Python for Beginners

  • The Curious Coder
  • 2025-09-17
  • 25
Python for Data Science Course | Lecture 1: Introduction to Python for Beginners
datasciencecodingpythonpythoncourselearningprogrammingpandasnumpymatplotlibprojectsprojectminorprojectmajorprojectbasicstoadvanced
  • ok logo

Скачать Python for Data Science Course | Lecture 1: Introduction to Python for Beginners бесплатно в качестве 4к (2к / 1080p)

У нас вы можете скачать бесплатно Python for Data Science Course | Lecture 1: Introduction to Python for Beginners или посмотреть видео с ютуба в максимальном доступном качестве.

Для скачивания выберите вариант из формы ниже:

  • Информация по загрузке:

Cкачать музыку Python for Data Science Course | Lecture 1: Introduction to Python for Beginners бесплатно в формате MP3:

Если иконки загрузки не отобразились, ПОЖАЛУЙСТА, НАЖМИТЕ ЗДЕСЬ или обновите страницу
Если у вас возникли трудности с загрузкой, пожалуйста, свяжитесь с нами по контактам, указанным в нижней части страницы.
Спасибо за использование сервиса video2dn.com

Описание к видео Python for Data Science Course | Lecture 1: Introduction to Python for Beginners

Welcome to the very first lecture of our complete Python for Data Science course! 🎉
If you're a complete beginner and want to understand what Python is, why it's the most popular language for data analysis and machine learning, and what makes it so special, this video is the perfect starting point for your journey.
In this introductory lecture, we break down the fundamentals. We cover Python's core definition, explore its key features that make it a high-level, cross-platform, and open-source powerhouse, and dive into its wide range of applications—from web development with Django (powering sites like Instagram!) to cutting-edge fields like computer vision and data science. We also show a simple code comparison to demonstrate just how beginner-friendly Python's syntax truly is!
👇 Jump to the topics that interest you most! 👇
TIMESTAMPS:
0:00 - Welcome & Course Overview
0:25 - What is Python? (A General-Purpose Language)
1:05 - Why is Python the World's Most Popular Language?
2:20 - Top Applications of Python (Web Dev, Data Science, AI & More!)
4:05 - Why Choose Python? Key Features Explained
4:25 - Feature 1: Easy, Simple, and Beginner-Friendly Syntax
5:10 - Feature 2: Interpreted Language (The REPL Explained)
5:45 - Feature 3: Dynamically Typed (No Need to Declare Data Types!)
6:20 - Feature 4: Supports Object-Oriented Programming (OOP)
6:50 - Feature 5: Open-Source with a Large Standard Library
7:30 - Feature 6: Extensible and Embeddable
8:10 - The "Hello World" Test: Python vs. C vs. Java
8:55 - What's Next in Lecture 2? (Anaconda Installation)
About This Course
This series is your complete guide to becoming a Data Scientist with Python. We'll start from the absolute basics and move on to advanced topics, including data analysis with Pandas, data visualization with Matplotlib & Seaborn, and machine learning with Scikit-learn. No prior programming experience is required!
🔔 Subscribe for more lectures and hit the notification bell so you don't miss the next video on setting up your programming environment with Anaconda!
👍 If you found this video helpful, please like, share, and leave a comment below!
🔗 CONNECT WITH US:
GitHub:
Website:
Instagram:
#Python #DataScience #PythonForBeginners #MachineLearning #Programming #PythonTutorial #LearnToCode

Комментарии

Информация по комментариям в разработке

Похожие видео

  • О нас
  • Контакты
  • Отказ от ответственности - Disclaimer
  • Условия использования сайта - TOS
  • Политика конфиденциальности

video2dn Copyright © 2023 - 2025

Контакты для правообладателей [email protected]