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:
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web development (server-side),
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software development,
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mathematics,
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system scripting.
What can Python do?
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Python can be used on a server to create web applications.
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Python can be used alongside software to create workflows.
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Python can connect to database systems. It can also read and modify files.
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Python can be used to handle big data and perform complex mathematics.
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Python can be used for rapid prototyping, or for production-ready software development.
Why Python?
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Python works on different platforms (Windows, Mac, Linux, Raspberry Pi, etc).
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Python has a simple syntax similar to the English language.
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Python has syntax that allows developers to write programs with fewer lines than some other programming languages.
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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.
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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
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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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