Udemy

Coding for beginners with Python

立即報名
  • 1,629 名學生
  • 更新於 7/2023
  • 可獲發證書
4.4
(21 個評分)
  • 提示:
  • 透過本站連結購買Udemy課程,本站將獲得推廣佣金,有助未來提供更多實用進修課程資訊給讀者。

課程資料

報名日期*
全年招生
課程級別
學習模式
修業期
5 小時 50 分鐘
教學語言
英語
授課導師
Digital Learning Academy
證書
  • 可獲發
  • (證書的發放與分配,依課程提供者的政策及安排而定。)
評分
4.4
(21 個評分)
課程連結
*提示: 以上時間表僅供參考,以機構網站為準。

課程簡介

Coding for beginners with Python

Learn programming basics

Python is a versatile and widely-used programming language that has gained immense popularity due to its simplicity, readability, and extensive support for various applications. Whether you are a beginner taking your first steps into the world of programming or an experienced developer looking to explore new opportunities, Python offers a gentle learning curve and a powerful set of features.

Key Fundamentals:

  1. Readability and Simplicity: One of the defining features of Python is its emphasis on code readability. Python's syntax is clean and straightforward, resembling pseudo-code, which makes it easy to understand and maintain. The use of indentation instead of braces for code blocks also contributes to its elegance.

  2. Dynamic Typing: Python is dynamically typed, meaning you don't need to declare the variable type explicitly. The type of a variable is determined during runtime based on the value assigned to it. This flexibility simplifies code writing and encourages a more expressive programming style.

  3. Rich Standard Library: Python comes with a vast standard library, providing a wide range of modules and functions that simplify various programming tasks. Whether it's handling files, working with data structures, or connecting to the internet, the standard library has you covered.

  4. Interpreted and Interactive: Python is an interpreted language, which means the code is executed line by line instead of being compiled. This allows for quicker development and testing, making it ideal for prototyping and exploratory coding. Interactive interpreters like Jupyter Notebooks offer an excellent platform for data analysis and experimentation.

  5. Object-Oriented Programming (OOP): Python supports object-oriented programming, allowing you to create classes and objects to model real-world entities. OOP promotes modularity, code reusability, and a structured approach to programming.

  6. Functional Programming (FP) Features: Python supports functional programming paradigms, enabling the use of higher-order functions, lambda expressions, and list comprehensions. This functional approach enhances code conciseness and readability.

  7. Community and Libraries: The Python community is vast and active, contributing to an extensive ecosystem of third-party libraries and frameworks. Whether you need tools for web development (Django, Flask), data science (NumPy, Pandas), or machine learning (TensorFlow, scikit-learn), Python has a library for almost every domain.

In conclusion, Python is an excellent choice for beginners and seasoned programmers alike due to its intuitive syntax, rich library support, and versatility across various domains. The key fundamentals of Python contribute to its appeal, making it a favorite among developers for web development, data analysis, automation, and more.


In this absolute beginners course you will learn:


  • Python Variables

  • Python Expressions

  • Python data types

  • Casting data types

  • Python List

  • Python Tuples

  • Python Dictionaries

  • Python Conditional Statements

  • Python Loops

  • Python Functions


As you embark on your journey into coding with Python, you'll find a vibrant community, ample learning resources, and endless opportunities to explore the exciting world of programming. Happy coding!

課程章節

  • 8 個章節
  • 67 堂課
  • 第 1 章 Introduction and Setup
  • 第 2 章 Python Basics
  • 第 3 章 Setting Up Local Python Environment
  • 第 4 章 Project: Create a Digital clock
  • 第 5 章 Project: Create an Image Slider
  • 第 6 章 Project: Create a Currency Converter
  • 第 7 章 Project: Create a Loan Calculator
  • 第 8 章 Project: Create a Music Player

課程內容

  • Python Expressions
  • Python Data Types
  • Casting Data Types
  • Python Variables
  • Python List
  • Python Tuples
  • Python Dictionaries
  • Python Conditional Statements
  • Python Loops
  • Python Functions


評價

  • L
    Lauren L-boogie Larry
    3.0

    The python website has been updated. Took a while to figure it out, I’m also working from a MAC.

  • M
    Michael L. Polich
    5.0

    Yes, right speed,right match

  • D
    Don Pelayo
    3.5

    I expected more interaction with the tutorial, perhaps through answering a question here or there to make sure the information is being understood.

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