Python Programming for beginners using Jupyter Notebooks

Python Programming for beginners using Jupyter Notebooks, available at $19.99, has an average rating of 5, with 27 lectures, based on 4 reviews, and has 16 subscribers.

You will learn about Setup Python Programming environment with Anaconda and Jupyter Notebook Create virtual environments with Anaconda Create new notebooks with Jupyter Practice and interact with Python using Jupyter Notebook Explore Python expressions and statements inside Jupyter Notebooks Explore and cast data Python data types Create Python List and Dictionaries Explore Python Operators and conditional statements Explore Python Loops and Functions This course is ideal for individuals who are Beginners to Python Programming or Beginners to Jupyter Notebooks or Beginner Data Analyst or Beginner Data Scientist It is particularly useful for Beginners to Python Programming or Beginners to Jupyter Notebooks or Beginner Data Analyst or Beginner Data Scientist.

Enroll now: Python Programming for beginners using Jupyter Notebooks

Summary

Title: Python Programming for beginners using Jupyter Notebooks

Price: $19.99

Average Rating: 5

Number of Lectures: 27

Number of Published Lectures: 27

Number of Curriculum Items: 27

Number of Published Curriculum Objects: 27

Original Price: $22.99

Quality Status: approved

Status: Live

What You Will Learn

Setup Python Programming environment with Anaconda and Jupyter Notebook
Create virtual environments with Anaconda
Create new notebooks with Jupyter
Practice and interact with Python using Jupyter Notebook
Explore Python expressions and statements inside Jupyter Notebooks
Explore and cast data Python data types
Create Python List and Dictionaries
Explore Python Operators and conditional statements
Explore Python Loops and Functions

Who Should Attend

Beginners to Python Programming
Beginners to Jupyter Notebooks
Beginner Data Analyst
Beginner Data Scientist

Target Audiences

Beginners to Python Programming
Beginners to Jupyter Notebooks
Beginner Data Analyst
Beginner Data Scientist

Dive into the exhilarating world of Python programming with our beginner-focused course! Explore Python’s expressive power and flexibility in a seamless and supportive environment facilitated by the Anaconda platform and Jupyter Notebooks. Whether you’re a coding novice or someone with experience in other languages, this course will empower you with the foundational skills needed to jumpstart your Python journey.

Why Python?
Python stands as one of the most popular and widely used programming languages today. With its intuitive syntax and versatile application, Python has established itself as a favorite among novice programmers and seasoned professionals alike. From web development and software design to data analysis and artificial intelligence, Python’s scope of application is vast.

What is Anaconda?
Anaconda is a free and open-source distribution of Python and R, designed specifically to ease the pain points of scientific computing, data science, and machine learning. With its built-in package manager, Conda, Anaconda simplifies package management and deployment, ensuring that you spend less time troubleshooting and more time coding.

The Magic of Jupyter Notebooks:
Jupyter Notebooks are an open-source web application that allows you to create and share documents containing live code, visualizations, and narrative text. As a learning tool, Jupyter is unmatched in its ability to combine instructional content with hands-on coding exercises, ensuring that you grasp theoretical concepts while getting practical experience.

Who Should Enroll?
This course is tailored for:

Absolute beginners with no prior coding experience.
Individuals familiar with other programming languages but new to Python.
Data enthusiasts looking to delve into Python’s data capabilities in an interactive manner.

Course Curriculum

Chapter 1: Python and Jupyter Notebooks Setup

Lecture 1: Introduction

Lecture 2: What is Python

Lecture 3: What is Anaconda

Lecture 4: Installing Anaconda on Windows

Lecture 5: Verify Anaconda Installation on Windows

Lecture 6: Installing Anaconda on Mac

Lecture 7: Verify Anaconda installation on Mac

Lecture 8: Introduction to Anaconda Navigator

Lecture 9: Anaconda Navigator Overview

Lecture 10: What are environments

Lecture 11: Creating a new environment with Anaconda

Lecture 12: What is Jupyter Notebook

Lecture 13: Installing Jupyter Notebook using Anaconda

Lecture 14: How to start Jupyter Notebook Server

Lecture 15: How to create a new notebook

Chapter 2: Python Programming Fundamentals

Lecture 1: Python Expressions

Lecture 2: Python Statements

Lecture 3: Python Code Comments

Lecture 4: Python Data Types

Lecture 5: Casting Data Types

Lecture 6: Python Variables

Lecture 7: Python List

Lecture 8: Python Dictionaries

Lecture 9: Python Operators

Lecture 10: Python Conditional Statements

Lecture 11: Python Loops

Lecture 12: Python Functions

Instructors

247 Learning
An investment in knowledge pays the best interest

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5 stars: 4 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!

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