Getting Started With Python: A Beginner'S Course

Course includes Python Expressions , Statements , Variables , Data Types ,Operators, Conditional Statements, functions.

What you'll learn

The instructor serves as a guide and mentor for beginners learning to use Jupyter Notebook with Python.

This budget ensures a well-structured tutorial with effective resource management.

The Jupyter Notebook tutorial encounters several risks. Technical issues, such as software bugs and connectivity problems, can disrupt the learning experience.

The Jupyter Notebook with Python tutorial is designed to teach Python programming through an engaging and practical approach.

Requirements

To successfully participate in the Jupyter Notebook with Python tutorial, participants should meet certain requirements and prerequisites. A basic understanding of programming concepts is beneficial, although beginners are welcome. Participants should have Python installed on their computers, along with Jupyter Notebook, which can be easily set up via Anaconda or pip. Familiarity with data analysis concepts is helpful but not mandatory. Additionally, a reliable internet connection is essential for accessing online resources and collaborating during the course. Overall, a willingness to learn and engage with hands-on coding exercises will greatly enhance the tutorial experience.

Description

In this comprehensive video, we delve into the fundamental concepts of Python programming. Here’s what you can expect:Expressions and Statements:Understand the difference between expressions (which evaluate to a value) and statements (which perform an action). Learn how to use them effectively in Python code.Variables:Discover how to create and manage variables in Python. We’ll cover naming conventions, variable types, and best practices for effective variable management.Data Types:Dive into the various built-in data types in Python, including integers, floats, strings, lists, tuples, sets, and dictionaries. We’ll explain how to use each type and when to choose one over another.Casting Data Types:Learn how to change one data type to another using type casting. We'll demonstrate practical examples of converting strings to integers, floats to strings, and more.Operators:Explore the different types of operators in Python, including arithmetic, comparison, logical, and assignment operators. Understand how to use them in expressions.Conditional Statements:Gain insight into decision-making in Python with if-else statements. We’ll demonstrate how to control the flow of your program based on conditions.Loops:Understand how to repeat actions in your code using for and while loops. We’ll cover the syntax and provide examples of when to use each type of loop.Functions:Explore how to define and call functions in Python. Learn about parameters, return values, and the importance of functions for organizing and reusing code.By the end of this video, you'll have a solid foundation in Python programming, equipping you with the skills to tackle more advanced topics and projects. Join us on this journey to become proficient in Python!

Overview

Section 1: Programming Language

Lecture 1 Python Expressions

Section 2: Python

Lecture 2 Python List

Section 3: Python Comments, Data Types and Variables

Lecture 3 Python Comments, Data Types and Variables

Section 4: Python Lists, Tuples, and Operators

Lecture 4 Python Lists

Section 5: Python Conditional statements, Loops and functions

Lecture 5 Conditional Statements

This tutorial is designed for beginner developers who want to learn Python programming using Jupyter Notebook. It provides a hands-on approach to coding and data analysis, making it accessible and engaging for those new to programming.