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Backend Development Using Python

  • 100% Live classes with real time experienced professional.
  • Job Placement Assistance
  • Simplifies complex concepts in easy to understand way
  • 300 hours of hands on classes
  • Doubt clearing one-to-one
 
 

Introduction

Do you know Python and wish to expand your knowledge? Consider creating a Python website or API that your colleagues can consume in JSON over plain HTTP. With the rise of microservices and APIs, developers who are used to developing scripts in Python may now apply their skills to the backend.  This interactive course will teach you the fundamentals of web servers, how to set up the Python Web server, and how to develop intriguing cool backend applications. By the conclusion of the course, you’ll be ready to take on the world, writing your own services and APIs, reading and writing from databases, doing advanced load balancing on your Python services, and working with Jupyter notebooks!

The course contains a number of interactive labs that will allow you to practice what you’re learning as you go. A Python Developer works on a software team to invent, design, and develop Python-based computer systems and applications. Backend Python developers are in charge of detecting and correcting faults (debugging) in Python-based development projects. Python is an excellent programming language for beginning programmers. Python programmers do a variety of tasks, including:

 

Script Design for Web Development
New web frameworks for code
Services for Automated Data Analysis Deployment
Scavenging on the internet
Backend Python developers may do a lot with this simple and versatile programming language.

Course Name

Backend Development Using Python

Course Features

What you will learn?

Core Python

  • Introduction to Python
  • What is Python?
  • History of Python
  • Python Versions
  • Features of Python
  • How to Install Python
  • Install Python with Diff IDEs
  • Creating Your First Python Program
  • Printing to the Screen
  • Reading Keyboard Input
  • Using Command Prompt and GUI or IDE

Different Modes in Python

  • Execute the Script
  • Interactive Mode
  • Script Mode
  • Python Comments
  • Working with Python in Unix/Linux/Windows/Mac/Android
  • Python New IDEs
  • PyCharm IDE
  • How to Work on PyCharm
  • PyCharm Components
  • Debugging process in PyCharm
  • SublimeText IDE
  • What is PIP?

Variables in Python

  • What is Variable?
  • Variables in Python
  • Constants in Python
  • Standard Data Types
  • Operators and Operands
  • Swap variables
  • Type Conversion
  • String Handling

Python Conditional Statements

  • How to use “if condition” in conditional structures
  • if statement (One-Way Decisions)
  • if .. else statement (Two-way Decisions)
  • How to use “else condition”
  • if ..elif .. else statement (Multi-way)
  • When “else condition” does not work
  • How to use “elif” condition
  • How to execute conditional statement with minimal code
  • Nested IF Statement

Python LOOPS

  • How to use “While Loop”
  • How to use “For Loop”
  • How to use For Loop for set of other things besides numbers
  • Break statements in For Loop
  • Continue statement in For Loop
  • Enumerate function for For Loop

Python Lists

  • Lists are mutable
  • Getting to Lists
  • List indices
  • Traversing a list
  • List operations
  • List slices
  • List methods
  • Map, filter and reduce

Python TUPLE

  • Advantages of Tuple over List
  • Packing and Unpacking
  • Comparing tuples
  • Creating nested tuple
  • Using tuples as keys in dictionaries
  • Deleting Tuples
  • Slicing of Tuple
  • Tuple Membership Test

Python Sets

  • How to create a set?
  • Iteration Over Sets
  • Python Set Methods
  • Python Set Operations
  • Union of sets
  • Built-in Functions with Set
  • Python Frozenset

Python Dictionary

  • How to create a dictionary?
  • Python Hashing?
  • Python Dictionary Methods
  • Copying dictionary
  • Updating Dictionary
  • Delete Keys from the dictionary
  • Dictionary items() Method
  • Sorting the Dictionary
  • Python Dictionary in-built Functions

Python Functions

  • What is a Function?
  • How to define and call a function in Python
  • Types of Functions
  • Significance of Indentation (Space) in Python
  • How Function Return Value?
  • Types of Arguments in Functions
  • Default Arguments
  • Non-Default Arguments
  • Keyword Arguments
  • Non-keyword Arguments
  • Arbitrary Arguments
  • Rules to define a function in Python
  • Various Forms of Function Arguments
  • Scope and Lifetime of variables
  • Anonymous Functions/Lambda functions
  • map(), filter(), reduce() functions
  • What is a Docstring?

Exception Handling

  • Python Exception Handling
  • Python Errors
  • Common RunTime Errors in PYTHON
  • Abnormal termination
  • Chain of importance Of Exception
  • Exception Handling
  • Try … Except
  • Try ..Except .. else
  • Try … finally

Python Class and Objects

  • Introduction to OOPs Programming
  • Object Oriented Programming System
  • OOPS Principles
  • Basic concept of Object and Classes
  • Access Modifiers
  • How to define Python classes
  • Self-variable in python
  • What is Inheritance? Types of Inheritance?
  • How Inheritance works?

Python Regular Expressions

  • What is Regular Expression?
  • Regular Expression Syntax
  • Understanding Regular Expressions
  • Regular Expression Patterns
  • Literal characters

  1. Django Setup
  2. Django Project
  3. Django Application
  4. URL Mappings
  5. Templates
  6. Templates Challenge
  7. Templates Solutions
  8. Static Files
  9. Django Models Overview
  10. Creating Models
  11. Population Scripts
  12. Models-Templates-Views Paradigm
  13. Django Forms
  14. Form Basics Code Along
  15. Form Validation
  16. Model Forms
  17. Relative URLs with Templates
  18. URL Template Inheritance
  19. Template Filters and Custom Filters
  20. Django Passwords
  21. User Models
  22. Registration
  23. Logins

Course Projects

Capstone Project Backend 

Must Have Key Skills of a Backend Python Developer

There are essentially two Backend Python frameworks for web development. Flask and Django are their names. With any of these, you may use the framework for web development. I’ll do my best to explain each one briefly. Flask is a web development framework written in Python. A framework is used to help with the correct framing or organization of a website. Backend Python programmers should have the following skills and qualifications:

Knowledge of core front-end technologies, Python web frameworks, and event-driven programming Excellent communication and problem-solving skills, as well as a keen eye for detail High level knowledge of code versioning tools Adequate expertise with server-side templating languages:

Excellent debugging and unit testing skills
Simple knowledge of front-end technologies such as HTML5, JavaScript, and CSS3 is required.

Understanding Basics of Python

Python’s basic syntax is extremely user-friendly and clear. Although it has some syntax with Java, JavaScript, and Perl, it is nearly identical to English.

Python’s syntax differs from all other programming languages in three key areas. These are the

1. Indentation in Python

Indentation is a feature used in most programming languages to increase code readability. In Python, however, indentation is critical.

Indentation refers to the white spaces that are added before each line of code. Instead of brackets, Python uses indentation to indicate the beginning of a block of code. Python programmers must always make sure that their code is properly indented.

2. Python Declaration

Python’s dynamic type mechanism distinguishes it from other programming languages in terms of variable declaration. The data type in Python does not have to be stated at the time of declaration; it can be altered while the program is executing. The data type of a variable does not need to be defined in Python.

There is no command in Python for defining variables. When you apply a value to a variable, it becomes one.  The data type of a variable is defined by the value assigned to it.

As a result, creating a variable in Python is quite simple.
Simply give it a name.
Give it the appropriate value.
We don’t need to declare the variable’s data type because the given value will do it for us.
Make an integer variable. To declare an integer variable, use the syntax
Give the variable a name and an integer value.

3. Python Remarks

Comments can be used to describe Python code. Comments may help make code more comprehensible. Comments can be used to halt execution when testing code.

Python has three sorts of comments:

Single-Line Comments: These are added by adding the “#” sign first, followed by the appropriate comment.
Multi-Line Comments: Use the delimiter or the “#” sign on each line (“) to add them.
Docstring is a Python built-in feature that may be accessible via the doc property.

Front End Framework of Python

It would be really helpful if you are familiar with front-end web technologies while learning about back-end frameworks. You must be familiar with HTML, CSS, and some Javascript. CSS and JavaScript, respectively, represent body accessories that enhance a person’s appearance. The framework that specifies the structure is HTML. Backend engineers are frequently called upon to work with frontend technology.

In some organizations, the same developer is responsible for both the front end and the back end. They are also referred to as full-stack developers. As a result, if you are familiar with both frontend and backend technologies, you may be able to become a full-stack developer and have access to a wider range of work prospects.

Backend Framework in Python

Python has long been regarded as a popular programming language. Python is being taught as the first programming language in many schools because of its easy syntax.

If you opt to build your backend with Python, you must be proficient in the following skills.

Select a Python Framework Before deciding on a framework, take a step back and assess the scope and complexity of your project. A full-stack framework will be useful if you are developing a large application with multiple complicated features. If your software will be quick and simple, a micro-framework is a smart alternative.

Are You Interested in Becoming a Python Back-End Developer? Start Here.

Python is a flexible and powerful programming language that has gained popularity in the realm of back-end development. If you wish to work as a Python back-end developer, this area is a fantastic place to start.

The Importance of Python in Back-End Development

Python is frequently linked with front-end programming, but its back-end capabilities should not be overlooked. Python has significant benefits for developing fast and scalable web applications due to its simple syntax, solid built-in support, and extensive ecosystem of libraries and frameworks.

Debunking Myths and Misconceptions

Python’s appropriateness for back-end programming is shrouded in myths and misconceptions. One prevalent misperception is that Python is not as fast as other programming languages. Python, on the other hand, can manage massive code bases and a large number of concurrent connections without compromising speed, owing to developments in interpreter technology and optimized libraries.

Another misconception is that Python lacks the tools and libraries needed to build real-time applications. In reality, Python has a variety of modules and frameworks, such as Tornado and FastAPI, that allow for rapid and efficient real-time application solutions.

What is Python back-end development?

Python back-end development is the use of the Python programming language to construct web application server-side components. While Python is frequently complimented for its ease of use and versatility, its reputation as a top choice for back-end programming is expanding.

The Role of Python in Web Applications

Back-end development in Python entails building server-side code that processes front-end requests and interacts with databases and other resources. Python’s built-in support for web frameworks such as Django, Flask, and FastAPI simplifies the development of robust and scalable online applications.

Advantages of Python for Back-End Development

There are various advantages of using Python for back-end development. Python is well-known for its readability and simple syntax, which makes it easier to develop and maintain code. Python’s wide ecosystem of libraries and frameworks provides strong tools for developers to expedite development processes and save time.

Python’s capability for machine learning and data analysis makes it ideal for developing backends for applications requiring complicated data processing. Python’s versatility also enables for integration with a variety of databases, including SQL and NoSQL.

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