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.

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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:

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!

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

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

How long do I have access to the course materials?

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!