Python for Beginners_8

Python for Beginners, available at $74.99, has an average rating of 4.59, with 103 lectures, based on 9429 reviews, and has 121297 subscribers.

You will learn about How to write a code Learn Python Language Build Apps using Python Building Web Application using Python This course is ideal for individuals who are Beginners who want to get into software development, web development, machine learning It is particularly useful for Beginners who want to get into software development, web development, machine learning.

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Summary

Title: Python for Beginners

Price: $74.99

Average Rating: 4.59

Number of Lectures: 103

Number of Published Lectures: 103

Number of Curriculum Items: 103

Number of Published Curriculum Objects: 103

Original Price: ?799

Quality Status: approved

Status: Live

What You Will Learn

How to write a code

Learn Python Language

Build Apps using Python

Building Web Application using Python

Who Should Attend

Beginners who want to get into software development, web development, machine learning

Target Audiences

Beginners who want to get into software development, web development, machine learning

You will learn Python in this course.

Python is one of the fastest-growing languages.

Python is interpreted, object-oriented, high-level, procedure-oriented language

It has different versions

The reason behind it is that there are a huge number of libraries available on the market, many companies and developers are using them, and they can be implemented in many areas.

It is a general-purpose language, as it can be used in Machine learning, GUI, Software Development, Web development, and many more.

Google, YouTube, Dropbox, NASA, and Yahoo use python

Django is a powerful, high-level web framework built with Python that follows the Model-View-Template (MVT) architectural pattern. The Django Software Foundation (DSF) is in charge of maintaining it as a free and open-source framework. The primary objective of Django is to simplify the development process of complex, database-driven websites.

A framework, in general, is a set of pre-written code and tools that provide a structure for building applications. It offers a foundation and common functionalities, allowing developers to focus on application-specific logic rather than dealing with low-level details. Django provides numerous built-in features and libraries that assist in handling common web development tasks, such as URL routing, form handling, authentication, and database management.

There are several reasons why developers choose Django for web development. Firstly, Django emphasizes the concept of “batteries included,” meaning it comes with a wide range of ready-to-use components, reducing the need for external libraries. This saves development time and effort. Additionally, Django promotes the use of reusable code through its modular design, enabling developers to build applications quickly and efficiently.

Django can be used to develop both static and dynamic websites. For static websites, Django can serve as a content management system (CMS) where developers can easily manage and update the site’s content. For dynamic websites, Django’s MVT pattern plays a crucial role. The MVT architecture separates the application logic into three components:

1. Model: Represents the data structure and database schema. It defines the data models, relationships, and interactions with the database.

2. View: Handles the business logic and acts as an intermediary between the model and the template. It processes requests, retrieves data from the model, and prepares it for rendering.

3. Template: Defines the presentation logic and represents the user interface. It determines how the data is displayed to the user.

The MVT pattern promotes a clean separation of concerns, making the code more maintainable, reusable, and testable. Django’s built-in ORM (Object-Relational Mapping) simplifies database operations, providing an intuitive way to interact with the database without writing complex SQL queries.

Overall, Django’s robust features, scalability, security measures, and its supportive community make it an excellent choice for building large-scale, database-driven websites efficiently and effectively.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Python Installation

Lecture 3: Getting Started with Python

Chapter 2: Variables and Types

Lecture 1: Variables

Lecture 2: List

Lecture 3: Tuple | Set

Lecture 4: Set Path in Windows And Help

Lecture 5: Sublime Text Editor

Lecture 6: More on Variables

Lecture 7: Data Type

Chapter 3: Operators

Lecture 1: Operators in Python

Lecture 2: Number System Conversion

Lecture 3: Bitwise Operator

Chapter 4: Math and User Input

Lecture 1: Import Math Function

Lecture 2: Working with PyCharm | Run | Debug | Trace | py file

Lecture 3: User Input | Command Line

Chapter 5: Conditionals and Loops

Lecture 1: If Elif Else Statement

Lecture 2: While Loops

Lecture 3: For Loop

Lecture 4: Break Continue Pass

Lecture 5: Break vs Continue vs Pass

Lecture 6: Printing Patterns

Lecture 7: For Else

Lecture 8: Prime Number

Chapter 6: Arrays and Numpy

Lecture 1: Array

Lecture 2: Accepting array values from User in Python Search in Array

Lecture 3: Why Numpy? Installing Numpy in Pycharm

Lecture 4: Ways of Creating Array

Lecture 5: Copying an Array

Lecture 6: Working With Matrix

Chapter 7: Functions

Lecture 1: Functions

Lecture 2: Functions Arguments

Lecture 3: Type of Arguments

Lecture 4: Keyworded Variable Length Arguments in Python

Lecture 5: Global Keyword

Lecture 6: Pass List to a Function

Lecture 7: Fibonacci Sequence

Lecture 8: Factorial

Lecture 9: Recursion

Lecture 10: Factorial Using Recursion

Lecture 11: Anonymous Functions | Lambda

Lecture 12: Filter Map Reduce

Lecture 13: Decorators

Chapter 8: Modules

Lecture 1: Modules

Lecture 2: Special Variable __name__

Lecture 3: Special Variable __name__ 2

Chapter 9: OOPs Concepts

Lecture 1: Introduction

Lecture 2: Class and Object

Lecture 3: __init__ method

Lecture 4: Constructor, Self and Comparing Objects

Lecture 5: Types of Variables

Lecture 6: Types of Method

Lecture 7: Inner Class

Lecture 8: Inheritance

Lecture 9: Constructor in Inheritance

Lecture 10: Introduction to Polymorphism

Lecture 11: Duck Typing

Lecture 12: Operators Overloading

Lecture 13: Method Overloading and Method Overriding

Lecture 14: Iterator

Lecture 15: Generators

Lecture 16: Exception Handling

Chapter 10: Miscellaneous

Lecture 1: MultiThreading

Lecture 2: File handling

Lecture 3: Comments

Lecture 4: IDLE Previous Command | Clear Screen?

Lecture 5: is Python Compiled or Interpreted Language?

Lecture 6: Swap 2 Variables

Lecture 7: Git | PyCharm | GitHub

Lecture 8: GitHub Code Contribution

Lecture 9: Anaconda Setup

Lecture 10: Jupyter Notebook Setup

Chapter 11: Searching

Lecture 1: Linear Search

Lecture 2: Binary Search

Chapter 12: Sorting

Lecture 1: Bubble Sort

Lecture 2: Selection Sort

Chapter 13: Database Connectivity

Lecture 1: MySQL Workbench Setup

Lecture 2: Database Connectivity (MySQL)

Chapter 14: Django

Lecture 1: 1 Django tutorials What is Django Python Web Framework

Lecture 2: 2 Django tutorials Setup

Lecture 3: 3 Django tutorials First App in Django part 1

Lecture 4: 4 Django tutorials First App Django part 2

Lecture 5: 5 Django tutorials Django Template Language DTL

Lecture 6: 6 Django tutorials Django Template Language part 2

Lecture 7: 7 Django tutorials Addition of Two Numbers in Django

Lecture 8: 8 Django tutorials GET vs POST HTTP Methods

Instructors

Navin Reddy
Corporate Trainer & TEDx Speaker

Rating Distribution

1 stars: 71 votes

2 stars: 97 votes

3 stars: 789 votes

4 stars: 3418 votes

5 stars: 5053 votes

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