Backend Web Development Python, Django,Databases, Git, API

Backend Web Development – Python, Django,Databases, Git, API, available at $64.99, has an average rating of 4.75, with 204 lectures, based on 39 reviews, and has 3014 subscribers.

You will learn about Python Fundamentals Python Operators Python Data Structures Python Functions Python Control Flow Statements Python Object Oriented Programming – OOP Python Modules and Packages Working with Images in Python Python Error Handling Build an Image Upload Web App Build a TodoList Web App Building an API Publish Web App to internet This course is ideal for individuals who are Beginners to backend web development It is particularly useful for Beginners to backend web development.

Enroll now: Backend Web Development – Python, Django,Databases, Git, API

Summary

Title: Backend Web Development – Python, Django,Databases, Git, API

Price: $64.99

Average Rating: 4.75

Number of Lectures: 204

Number of Published Lectures: 204

Number of Curriculum Items: 204

Number of Published Curriculum Objects: 204

Original Price: $174.99

Quality Status: approved

Status: Live

What You Will Learn

Python Fundamentals

Python Operators

Python Data Structures

Python Functions

Python Control Flow Statements

Python Object Oriented Programming – OOP

Python Modules and Packages

Working with Images in Python

Python Error Handling

Build an Image Upload Web App

Build a TodoList Web App

Building an API

Publish Web App to internet

Who Should Attend

Beginners to backend web development

Target Audiences

Beginners to backend web development

What is a Back-End Developer? .The back- end of a website consists of a server,an application, and a database. A back-end developer builds and maintains the technology that powers those components which, together, enable the user-facing side of the website to even exist in the first place

Back end development refers to the server side of an application and everything that communicates between the database and the browser. .

Backend web developers are responsible for designing, building, and maintaining a scalable “behind-the-scenes” infrastructure to support the user interfaces and user experiences built by frontend developers. This skill set is one of the most sought-after by major tech employers.

What is Python?

Python is a popular programming language.

It is used for:

web development (server-side),

software development,

mathematics,

system scripting.

What can Python do?

Python can be used on a server to create web applications.

Python can be used alongside software to create workflows.

Python can connect to database systems. It can also read and modify files.

Python can be used to handle big data and perform complex mathematics.

Python can be used for rapid prototyping, or for production-ready software development.

Why Python?

Python works on different platforms (Windows, Mac, Linux, Raspberry Pi, etc).

Python has a simple syntax similar to the English language.

Python has syntax that allows developers to write programs with fewer lines than some other programming languages.

Python runs on an interpreter system, meaning that code can be executed as soon as it is written. This means that prototyping can be very quick.

Python can be treated in a procedural way, an object-oriented way or a functional way.

Django is a high-level Python web framework that encourages rapid development and clean, pragmatic design. Built by experienced developers, it takes care of much of the hassle of web development, so you can focus on writing your app without needing to reinvent the wheel. It’s free and open source.

Ridiculously fast: Django was designed to help developers take applications from concept to completion as quickly as possible.

Reassuringly secure: Django takes security seriously and helps developers avoid many common security mistakes.

Exceedingly scalable: Some of the busiest sites on the web leverage Django’s ability to quickly and flexibly scale.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: What is Backend Web Development

Lecture 3: What is http

Lecture 4: How the internet works

Chapter 2: Python Installation

Lecture 1: What is Python

Lecture 2: Installing Python on Windows

Lecture 3: Installing Python on Macs

Lecture 4: Installing Python on Linux (Ubuntu)

Chapter 3: PyCharm Installation & Configuration

Lecture 1: Install PyCharm on Windows

Lecture 2: Change Pycharm theme

Lecture 3: Pycharm Configuration on Windows : Part 1

Lecture 4: Pycharm Configuration on Windows : Part 2

Lecture 5: Install Pycharm on Macs

Lecture 6: Pycharm Configuration on Macs

Chapter 4: Text Editors

Lecture 1: What are Text Editors

Lecture 2: Please Read

Lecture 3: Installing Atom

Lecture 4: Installing Visual Studio Code

Chapter 5: Python Fundamentals

Lecture 1: Interacting with Python: Part 1

Lecture 2: Interacting with Python: Part 2

Lecture 3: Python Expressions

Lecture 4: Python Statements

Lecture 5: Python Code Indentation

Lecture 6: Python Variables

Lecture 7: Creating Variables

Lecture 8: Capturing user inputs

Chapter 6: Python Operators

Lecture 1: Python Arithmetic Operators

Lecture 2: Python Assignment Operators

Lecture 3: Python Comparison Operators

Lecture 4: Python Logical Operators

Chapter 7: Python Data Types

Lecture 1: Number Data Types

Lecture 2: String Data Type

Lecture 3: Boolean Data Types

Lecture 4: Casting Data Types

Chapter 8: Python Data Structures

Lecture 1: What are data structures

Lecture 2: What are Python List

Lecture 3: Creating a Python List

Lecture 4: Accessing elements in a List

Lecture 5: Python List Methods: Part 1

Lecture 6: Python List Methods: Part 2

Lecture 7: Nested List and For Loop

Lecture 8: Python Tuple: Part 1

Lecture 9: Python Tuple: Part 2

Lecture 10: Python SET

Lecture 11: Python SET Methods

Lecture 12: Python Dictionary

Lecture 13: Python Dictionary Methods

Lecture 14: Creating a directory for Python files

Chapter 9: Python Functions

Lecture 1: What are Python Functions

Lecture 2: Python Return Keyword Value

Lecture 3: Using default parameter

Lecture 4: Using keyword arguments

Lecture 5: Functions returning other functions

Lecture 6: Assigning functions to variables

Lecture 7: Global and local variable scopes

Lecture 8: Nesting functions

Lecture 9: Nesting functions accessing variable scopes

Lecture 10: Function Pass keyword

Lecture 11: Passing functions as arguments

Lecture 12: Using VarArgs Parameter

Lecture 13: Anonymous Functions

Lecture 14: Python DocStrings

Lecture 15: Python Decorators

Lecture 16: Python Function Vs Python Methods

Chapter 10: Python Control Flow Statements

Lecture 1: Introduction to control flow

Lecture 2: if statements

Lecture 3: ELSE Statements

Lecture 4: ELif statements

Lecture 5: While Loops

Lecture 6: For Loops

Lecture 7: Nested For Loops

Lecture 8: Break statement

Lecture 9: Continue statement

Chapter 11: Python Object Oriented Programming – OOP

Lecture 1: Introduction to OOP

Lecture 2: Creating a class

Lecture 3: Instantiating a class

Lecture 4: Modifying Classes

Lecture 5: Class and instance variables

Lecture 6: Inheritance: Part 1

Lecture 7: Inheritance: Part 2

Lecture 8: Inheritance: Part 3

Lecture 9: Inheritance: Part 4

Lecture 10: Polymorphism: Part 1

Lecture 11: Polymorphism: Part 2

Lecture 12: Polymorphism: Part 3

Lecture 13: Encapsulation: Part 1

Lecture 14: Encapsulation: Part 2

Lecture 15: Encapsulation: Part 3

Lecture 16: Abstraction: Part 1

Instructors

Bluelime Learning Solutions
Making Learning Simple

Rating Distribution

1 stars: 1 votes

2 stars: 0 votes

3 stars: 3 votes

4 stars: 18 votes

5 stars: 17 votes

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