Coding for beginners with Python
Coding for beginners with Python, available at $19.99, has an average rating of 4.15, with 67 lectures, based on 21 reviews, and has 1626 subscribers.
You will learn about Python Expressions Python Data Types Casting Data Types Python Variables Python List Python Tuples Python Dictionaries Python Conditional Statements Python Loops Python Functions This course is ideal for individuals who are Beginners to Python or Beginners to programming It is particularly useful for Beginners to Python or Beginners to programming.
Enroll now: Coding for beginners with Python
Summary
Title: Coding for beginners with Python
Price: $19.99
Average Rating: 4.15
Number of Lectures: 67
Number of Published Lectures: 67
Number of Curriculum Items: 67
Number of Published Curriculum Objects: 67
Original Price: $22.99
Quality Status: approved
Status: Live
What You Will Learn
- Python Expressions
- Python Data Types
- Casting Data Types
- Python Variables
- Python List
- Python Tuples
- Python Dictionaries
- Python Conditional Statements
- Python Loops
- Python Functions
Who Should Attend
- Beginners to Python
- Beginners to programming
Target Audiences
- Beginners to Python
- Beginners to programming
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:
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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.
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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.
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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.
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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.
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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.
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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.
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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:
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Python Variables
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Python Expressions
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Python data types
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Casting data types
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Python List
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Python Tuples
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Python Dictionaries
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Python Conditional Statements
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Python Loops
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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!
Course Curriculum
Chapter 1: Introduction and Setup
Lecture 1: Introduction
Lecture 2: Overview of the Python programming language and its features
Lecture 3: Introduction to coding concepts and the importance of learning to code
Lecture 4: What is Python
Lecture 5: What is Jupyter Notebook
Lecture 6: Installing Jupyter Notebook
Lecture 7: Running Jupyter Notebook Server
Lecture 8: Jupyter Notebook Components
Lecture 9: Notebook Dashboard
Lecture 10: Notebook User Interface
Lecture 11: Creating new notebook
Lecture 12: Overview of commonly used Python libraries and modules
Lecture 13: Coding with Python using Jupyter Notebook
Chapter 2: Python Basics
Lecture 1: Python Expressions
Lecture 2: Python Data Types
Lecture 3: Casting data types
Lecture 4: Python Variables
Lecture 5: Python List
Lecture 6: Python Tuples
Lecture 7: Python Dictionaries
Lecture 8: Python conditional statements
Lecture 9: Python Loops
Lecture 10: Python Functions
Chapter 3: Setting Up Local Python Environment
Lecture 1: Installing Python on Windows
Lecture 2: Installing Python on Macs
Lecture 3: Installing Atom
Lecture 4: Creating Project Directory
Lecture 5: Installing a virtual environment
Lecture 6: Activating a virtual environment
Lecture 7: Algorithms
Chapter 4: Project: Create a Digital clock
Lecture 1: What we will create
Lecture 2: Project design sketch
Lecture 3: Creating a Python file
Lecture 4: Building the clock : Part 1
Lecture 5: Building the clock : Part 2
Lecture 6: Building the clock : Part 3
Lecture 7: Running the application
Chapter 5: Project: Create an Image Slider
Lecture 1: What we will create
Lecture 2: Creating a Python File
Lecture 3: Add Python Class
Lecture 4: Add more methods to class
Lecture 5: Testing the application
Chapter 6: Project: Create a Currency Converter
Lecture 1: What we will create
Lecture 2: Project design sketch
Lecture 3: Creating a Python File
Lecture 4: Building the application : Part 1
Lecture 5: Building the application : Part 2
Lecture 6: Building the application : Part 3
Lecture 7: Building the application : Part 4
Lecture 8: Building the application : Part 5
Lecture 9: Testing the application
Chapter 7: Project: Create a Loan Calculator
Lecture 1: What we will create
Lecture 2: Project design sketch
Lecture 3: Creating a Python file
Lecture 4: Building the application : Part 1
Lecture 5: Building the application : Part 2
Lecture 6: Building the application : Part 3
Lecture 7: Building the application : Part 4
Lecture 8: Testing the application
Chapter 8: Project: Create a Music Player
Lecture 1: What we will create
Lecture 2: Project design sketch
Lecture 3: Building the application : Part 1
Lecture 4: Building the application : Part 2
Lecture 5: Building the application : Part 3
Lecture 6: Building application- Part 4
Lecture 7: Testing the application
Lecture 8: Thank You
Instructors
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Digital Learning Academy
Digital learning 24 /7
Rating Distribution
- 1 stars: 1 votes
- 2 stars: 0 votes
- 3 stars: 3 votes
- 4 stars: 9 votes
- 5 stars: 8 votes
Frequently Asked Questions
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You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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