Python Programming for Beginners with Hands on Tutorial

Python Programming for Beginners with Hands on Tutorial, available at $19.99, has an average rating of 4.4, with 129 lectures, 15 quizzes, based on 483 reviews, and has 9664 subscribers.

You will learn about Learn basics of Python Programming Explore and Understand Pythons Data Structures ie Lists, Tuples, Sets and Dictionaries Learn Fundamentals of Python Programming Learn the purpose of Functions in Python and How to operate on files to read and write data in Python Learn the Object Oriented Programming in Python Learn how to use PyCham to write Python Scripts Learn how to Professionally write Python Programs This course is ideal for individuals who are Beginner who wants to learn Python or Professionals preparing for Interviews It is particularly useful for Beginner who wants to learn Python or Professionals preparing for Interviews.

Enroll now: Python Programming for Beginners with Hands on Tutorial

Summary

Title: Python Programming for Beginners with Hands on Tutorial

Price: $19.99

Average Rating: 4.4

Number of Lectures: 129

Number of Quizzes: 15

Number of Published Lectures: 129

Number of Published Quizzes: 15

Number of Curriculum Items: 145

Number of Published Curriculum Objects: 145

Original Price: $89.99

Quality Status: approved

Status: Live

What You Will Learn

Learn basics of Python Programming
Explore and Understand Pythons Data Structures ie Lists, Tuples, Sets and Dictionaries
Learn Fundamentals of Python Programming
Learn the purpose of Functions in Python and How to operate on files to read and write data in Python
Learn the Object Oriented Programming in Python
Learn how to use PyCham to write Python Scripts
Learn how to Professionally write Python Programs

Who Should Attend

Beginner who wants to learn Python
Professionals preparing for Interviews

Target Audiences

Beginner who wants to learn Python
Professionals preparing for Interviews

Welcome to this course of Python Programming for Beginners, and become a Python Professional which is one of the most favored skills, that employer’s need

Whether you are new to programming or have never programmed before in Python, this course is for you! This course covers the Python Programming from scratch.This course is self-paced. There is no need to rush – you learn on your own schedule.

Pуthоn iѕ one of the best open source programming language and more powerful than other programming languages. It iѕ well documented and runs everywhere. It has a clean syntax and quite еаѕу tо lеаrn.

This course will help anyone who want to start a саrееr in Data Science and Machine Lеаrning. You need to have basic undеrѕtаnding оf Pуthоn to become a Data Scientist or Data Analyst.

This course begins with the introduction to Python that will help you write python code in no time. Then we help you with the installation of Python on your computer and setting up programming tools and programming environment. This course will provide you with everything you need to know about Python Programming.

We will be covering the following topics:

Writing your first Python Program
Data Types in Python
Variables and Expressions
Keywords and Identifiers, Comments
Numbers in Python
Strings and its operations (Formatting, Indexing, Slicing and String Methods)
Type Conversion Functions & eval() function
Operators in Python (Arithmetic, Relational, Comparison, Chaining of Relational Operators, Logical, Bitwise, Assignment, Identity, Membership and Operator Precedence)
Input and Output Statements (Separator, End Attributes, Replacement Operator, Formatted Strings)
Program Control Flow (If, if-else, Nested if-else, While loop, Range Function, For loop, break and continue statements)
List Data Structure (Indexing, Methods, Slicing, Split, Sorting, Reversing, and List Functions, Membership and Identity Operators)
Tuples Data Structure (Indexing, Slicing, Functions, Membership and Identity Operators)
Nesting of Lists and Tuples
Dictionary and Sets in Python
Functions (Creating Functions, Variable parameters, Keyword Arguments, Default Arguments)
Recursion in Python
Local and Global Variables
Lambda Functions
Modules in Python
Working with Files ( Reading and Writing Files)
Exception Handling
Object Oriented Programming in Python (Classes, Inheritance, Polymorphism)

This course teaches Python in a practical manner with hands-on experience with coding screen-cast.

Once you complete this course, you will be able to create or develop Python Programs to solve any complex problems with ease.

Course Curriculum

Chapter 1: Course Overview

Lecture 1: Course Introduction

Chapter 2: Python Setup

Lecture 1: Installing Python on Windows

Lecture 2: Installing PyCharm on Windows

Chapter 3: Python Basics

Lecture 1: Writing & Executing Your First Program

Lecture 2: Data Types in Python

Lecture 3: Variables

Lecture 4: Keywords & Predefined Identifiers

Lecture 5: Comments

Lecture 6: Numbers in Python – Integers

Lecture 7: Integer Conversion Functions – bin(), oct(), hex()

Lecture 8: Floating Point Numbers in Python

Lecture 9: More on Integers & Floating Point Numbers

Lecture 10: Complex Numbers in Python

Lecture 11: Boolean in Python

Lecture 12: Strings in Python

Lecture 13: Strings – Format Function

Lecture 14: Strings – Escape Sequence and len(), min(), max()

Lecture 15: Strings Indexing

Lecture 16: Strings Slice Operator

Lecture 17: String Methods

Lecture 18: None Data Type in Python

Lecture 19: Coercion & Type Conversion – int() Function

Lecture 20: Type Conversion – float() Function

Lecture 21: Type Conversion – bool() Function

Lecture 22: Type Conversion – str() Function

Lecture 23: Type Conversion – complex() Function

Lecture 24: eval() – Function

Chapter 4: Operators in Python

Lecture 1: Arithmetic Operators

Lecture 2: Arithmetic (//) Operator – Integer or Floor Division

Lecture 3: More on Arithmetic Operators

Lecture 4: Arithmetic (+) Operator on Strings as Concatenation

Lecture 5: Arithmetic (*) Operator – String Repetition Operator

Lecture 6: Arithmetic Operators on Complex Numbers

Lecture 7: Relational or Comparison Operators

Lecture 8: Chaining of Relational Operators

Lecture 9: Equality Operators

Lecture 10: Logical Operators

Lecture 11: Bitwise AND, OR, XOR Operators

Lecture 12: Bitwise Complement Operator – with negative values

Lecture 13: Shift Operators

Lecture 14: Assignment Operators

Lecture 15: No Increment and Decrement Operators, But?

Lecture 16: Identity Operators

Lecture 17: Membership Operators

Lecture 18: Operator Precedence

Chapter 5: Input and Output Statements in Python

Lecture 1: Input Function

Lecture 2: Reading Multiple Values

Lecture 3: Command Line Arguments

Lecture 4: Output Statements

Lecture 5: Separator and End Attributes

Lecture 6: Replacement Operator

Lecture 7: Printing Formatted Strings

Chapter 6: Program Control Flow

Lecture 1: Control Statements

Lecture 2: If, If-Else Statement

Lecture 3: Nested If & Elif Statement

Lecture 4: While Loop

Lecture 5: Built-in Range Function

Lecture 6: For Loop

Lecture 7: For Loop with Range Function

Lecture 8: Comparison of While and For Loops

Lecture 9: Break Statement

Lecture 10: Continue Statement

Chapter 7: Lists in Python

Lecture 1: Explanation of Lists

Lecture 2: Using Lists and List Indexing

Lecture 3: List Methods

Lecture 4: List Slicing

Lecture 5: List Split Method

Lecture 6: Sorting and Reversing Lists

Lecture 7: List Functions – sum(), min(), max()

Lecture 8: Membership & Identity Operators on Lists

Lecture 9: Iterations over List

Chapter 8: Tuples in Python

Lecture 1: Explanation of Tuples

Lecture 2: Using Tuples and Tuple Indexing

Lecture 3: Tuples Slicing

Lecture 4: Tuples Functions – sum(), min(), max()

Lecture 5: Membership & Identity Operators on Tuples

Lecture 6: Nested Lists & Tuples

Chapter 9: Dictionaries & Sets in Python

Lecture 1: Explanation of Dictionaries

Instructors

Syed Mohiuddin
Instructor

Rating Distribution

1 stars: 6 votes
2 stars: 8 votes
3 stars: 71 votes
4 stars: 214 votes
5 stars: 184 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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