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Python 3 Programming A Step By Step Guide for Beginners

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Python 3 Programming A Step By Step Guide for Beginners, available at $19.99, has an average rating of 4.45, with 89 lectures, based on 359 reviews, and has 2833 subscribers.

You will learn about Python Programming Step by Step Guide consists of currently 13 modules 1. Introduction: In this module you will learn the Fundamentals of Python 2. Installing and Using Python: In this module you will learn How to Install Python in Various Platforms and Write a Basic Python Program 3. Variables and Expressions: In this module you will learn, How to define Variables and Write Expressions in Python Language 4. Conditional Statements: In this module you will learn the basic building blocks of the programs by understanding the various Conditional Statements such as if, if-else, nested-if, ternary operators etc. 5. Loops and Iteration: In this module you will learn how to execute a set of statements repeatedly using various Loops 6. Working with Functions: In this module you will learn how to define Functions in Python 7. Handling Exceptions in Python: In this module you will learn how to handle the Exceptions in Python 8. Understanding the Usage of Classes and Objects in Python: In this module you will get to know what is a Class and What are Objects and How to define a Constructor to initialize the members of the class. 9. Handling Strings in Python: In this module we will learn how to handle the strings. 10. Handling Files in Python: In this module you will learn how to create a new file, add text to the file, read the contents from the file and also you will learn how to read the binary data and create an image file dynamically at runtime. 11. Working with Lists: In this module you will learn what is a List and also you will learn the various operations that you can perform with the Lists. 12. Working with Tuples, Sets and Dictionaries: In this module you will learn what are Tuples, Set and Dictionaries and the various operations you can perform within this Data Structure and also you will learn when to use each Data Structure 13. Comprehensions in Python: In this module you will learn the most efficient way to handle the code in Python 14. many more: This course will be later added with some more features such as Regular Expressions, Decorators etc. This course is ideal for individuals who are Python Programming Step by Step Guide is a good fit for the below professionals: or Freshers Programmers or Developers interested in Learning Python or Technical Leads or Architects Data Scientists It is particularly useful for Python Programming Step by Step Guide is a good fit for the below professionals: or Freshers Programmers or Developers interested in Learning Python or Technical Leads or Architects Data Scientists.

Enroll now: Python 3 Programming A Step By Step Guide for Beginners

Summary

Title: Python 3 Programming A Step By Step Guide for Beginners

Price: $19.99

Average Rating: 4.45

Number of Lectures: 89

Number of Published Lectures: 89

Number of Curriculum Items: 89

Number of Published Curriculum Objects: 89

Original Price: $22.99

Quality Status: approved

Status: Live

What You Will Learn

  • Python Programming Step by Step Guide consists of currently 13 modules
  • 1. Introduction: In this module you will learn the Fundamentals of Python
  • 2. Installing and Using Python: In this module you will learn How to Install Python in Various Platforms and Write a Basic Python Program
  • 3. Variables and Expressions: In this module you will learn, How to define Variables and Write Expressions in Python Language
  • 4. Conditional Statements: In this module you will learn the basic building blocks of the programs by understanding the various Conditional Statements such as if, if-else, nested-if, ternary operators etc.
  • 5. Loops and Iteration: In this module you will learn how to execute a set of statements repeatedly using various Loops
  • 6. Working with Functions: In this module you will learn how to define Functions in Python
  • 7. Handling Exceptions in Python: In this module you will learn how to handle the Exceptions in Python
  • 8. Understanding the Usage of Classes and Objects in Python: In this module you will get to know what is a Class and What are Objects and How to define a Constructor to initialize the members of the class.
  • 9. Handling Strings in Python: In this module we will learn how to handle the strings.
  • 10. Handling Files in Python: In this module you will learn how to create a new file, add text to the file, read the contents from the file and also you will learn how to read the binary data and create an image file dynamically at runtime.
  • 11. Working with Lists: In this module you will learn what is a List and also you will learn the various operations that you can perform with the Lists.
  • 12. Working with Tuples, Sets and Dictionaries: In this module you will learn what are Tuples, Set and Dictionaries and the various operations you can perform within this Data Structure and also you will learn when to use each Data Structure
  • 13. Comprehensions in Python: In this module you will learn the most efficient way to handle the code in Python
  • 14. many more: This course will be later added with some more features such as Regular Expressions, Decorators etc.

Who Should Attend

  • Python Programming Step by Step Guide is a good fit for the below professionals:
  • Freshers Programmers
  • Developers interested in Learning Python
  • Technical Leads
  • Architects Data Scientists

Target Audiences

  • Python Programming Step by Step Guide is a good fit for the below professionals:
  • Freshers Programmers
  • Developers interested in Learning Python
  • Technical Leads
  • Architects Data Scientists

Python has been one of the premier, flexible, and powerful open-source language that is easy to learn, easy to use, and has powerful libraries for data manipulation and analysis. For over a decade, Python has been used in scientific computing and highly quantitative domains such as Data Science, Machine Learning, AI, IOT etc.

Python Programming Step by Step Guide consists of currently 13 modules and later will add some more additional modules to help the students interested in learning Data Science. First we shall start with the Introduction to Python Programming language then we shall learn how to install Python on your machines and get started with Python Programming, then we shall start understanding the fundamentals of Python by understanding how to define the variables and the expressions that are supported by the Python language, then we shall learn how to write the conditional statements and we shall learn how to work with the loops and how to perform iterations in Python language, then we shall learn how to work with the functions, we shall learn how to define the classes and objects in python, then we shall learn how to handle the exceptions in Python language, we shall learn how to handle and manipulate the strings using Python, we shall learn how to handle the files, we shall learn various data structures such as Lists, Dictionaries, Tuples, Sets etc. and also we shall learn how to use the comprehensions support provided by the Python language for writing maintainable and efficient code. Later in this course I will add additional modules such as Regular Expressions, Decorators, Packing and Modules Dynamic Loading, Python Essentials for Data Science and many more.

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Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Python as a Language

Lecture 3: How to get the best out of this Course

Chapter 2: Installing and Using Python

Lecture 1: Introduction

Lecture 2: Getting Started with Python using Jupyter

Lecture 3: Installing Python and Writing a Program

Lecture 4: Understand Python Program Execution Process

Lecture 5: Summary

Chapter 3: Variables and Expressions

Lecture 1: Introduction

Lecture 2: Declaring Variables in Python

Lecture 3: Understanding Expressions in Python

Lecture 4: Understanding Types and Types Expressions

Lecture 5: Demos: Types and Types Conversion

Lecture 6: Summary

Chapter 4: Conditional Statements

Lecture 1: Introduction

Lecture 2: Using if Statement

Lecture 3: Using if-else Statement

Lecture 4: Using if-elsif-else Statement

Lecture 5: Working with Nested if Statement

Lecture 6: Ternary Operator

Lecture 7: Summary

Chapter 5: Loops and iterations

Lecture 1: Introduction

Lecture 2: Indefinite Loop using While

Lecture 3: Breaking out of a loop using break Statement

Lecture 4: Finishing an Iteration using Continue Statement

Lecture 5: Definite loop using for

Lecture 6: Summary

Chapter 6: Working with Functions

Lecture 1: Introduction

Lecture 2: Defining Python Functions

Lecture 3: Understanding Parameters, Arguments and Return Values with Demos

Lecture 4: Using Default Arguments in Python Functions

Lecture 5: Using Keyboard Arguments in Python Functions

Lecture 6: Passing Variable Number of Arguments to Python Functions

Lecture 7: Understanding Global and Local Variables

Lecture 8: Lambda Functions

Lecture 9: Summary

Chapter 7: Handling Exceptions in Python

Lecture 1: Introduction

Lecture 2: Understanding Built-in Exceptions

Lecture 3: Handling Exceptions

Lecture 4: Raising Exceptions

Lecture 5: Defining Clean-Up Actions

Lecture 6: Summary

Chapter 8: Understanding the Usage of Classes and Objects in Python

Lecture 1: Understanding Classes and Objects

Lecture 2: Demo: Understanding Classes and Objects Syntax

Lecture 3: Demo: Defining Classes with Data and Methods

Lecture 4: Demo: Defining Classes with Constructors

Lecture 5: Summary

Chapter 9: Handling Strings in Python

Lecture 1: Introduction

Lecture 2: Understanding Strings in Python

Lecture 3: Slicing Strings

Lecture 4: Using 'in' as a Logical Operator

Lecture 5: Working with String Library

Lecture 6: Summary

Chapter 10: Handling Flies in Python

Lecture 1: Introduction

Lecture 2: Writing to a File

Lecture 3: Reading from the File

Lecture 4: Reading from the File Cont.

Lecture 5: Copying Text File

Lecture 6: Copying Image File

Lecture 7: Summary

Chapter 11: Working with Lists

Lecture 1: Introduction

Lecture 2: Creating List

Lecture 3: Reading Values from the List

Lecture 4: Mutating List

Lecture 5: Using Append, Insert, Remove, Pop and Clear

Lecture 6: Creating List Dynamically from CSV File data

Lecture 7: Using Sort and Reverse

Lecture 8: Ordering List Items by Object Attributes

Lecture 9: Functional Programming with List using Map

Lecture 10: Functional Programming with List using Filter

Lecture 11: Functional Programming with List using Reduce

Lecture 12: Slicing Lists

Lecture 13: Summary

Chapter 12: Working with Tuples, Sets and Dictionaries

Lecture 1: Introduction

Lecture 2: Working with Tuples

Lecture 3: Working with Sets

Lecture 4: Performing Set Operations

Lecture 5: Creating Dynamic Set

Lecture 6: Understanding Frozen Set

Lecture 7: Working with Dictionaries

Lecture 8: Creating Dictionaries Dynamically from File

Lecture 9: Summary

Chapter 13: Comprehensions in Python

Lecture 1: Introduction

Lecture 2: Lists Comprehensions

Lecture 3: List Comprehensions with Item Expressions

Lecture 4: Dictionary Comprehensions

Lecture 5: Sets Comprehensions

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  • 1 stars: 5 votes
  • 2 stars: 5 votes
  • 3 stars: 35 votes
  • 4 stars: 148 votes
  • 5 stars: 166 votes

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