Experience the new way of learning Backend Python
Join live classes, tackle real-life case studies, and receive mentorship from the top 1% of experts. Become the talent that every recruiter in the industry seeks!
- 100% Live classes with real time experienced professional.
- 500 hours of hands on classes
- Class recordings available
❤️ Trusted by 1000+ Students
who got their dream job at MNC's
ENQUIRE NOW
Backend Python
- 100% Job Assurance
- Unlimited Interview Calls
- Mock Interview
- Weekly Test
- Class Recording Available
- Live Course
- 6 Months
What Will You Learn - Curriculum
1. Basics of Python
a. Install Python and an IDE.
b. Learn about Python syntax, variables, and
basic data types
2. Control Flow and Functions
a. Understand if statements, loops, and
functions.
b. Practice solving simple problems using
control flow and functions
3. Lists and Tuples
a. Explore lists and tuples.
b. Learn basic operations on these data
structures.
4. Dictionaries and Sets
a. Understand dictionaries and sets.
b. Practice using these data structures.
5. File Handling
a. Learn how to read and write files in Python.
b. Explore different file formats
(text files, CSV, JSON).
6. Object-Oriented Programming (OOP)
a. Understand the basics of OOP: classes and
objects.
b. Learn about inheritance, encapsulation, and
polymorphism.
1. Exception Handling
a. Learn about try, except, and finally blocks.
b. Handle exceptions to make your code more
robust.
2. Regular Expressions
a. Understand the basics of regular expressions.
b. Practice using regular expressions in Python.
3. Modules and Packages
a. Explore how to use modules and create
your own packages.
b. Understand the concept of namespaces in
Python.
1. GIT
2. Unit Testing
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 FormsDJANGO Framework
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
1. Research and understand the concept of
Object-Relational Mapping (ORM).
2. Explore popular Python ORM libraries like
SQLAlchemy
3. Install and set up SQLAlchemy or Django ORM.
4. Create a simple model and perform basic CRUD
operations.
5. Work on a small project to reinforce your
understanding of ORM.
1. Introduction to Databases and MySQL
a. Overview of databases and their
importance
b. Introduction to MySQL and its features
2. Installation and Configuration
a. Installing MySQL server and client
b. Configuring MySQL for the first use
3. Basic SQL Syntax
a. SELECT, INSERT, UPDATE, DELETE
statements
b. Creating and modifying tables
c. Understanding data types
4. Querying Data
a. Filtering and sorting data
b. Using WHERE and ORDER BY clauses
c. Aggregating data with GROUP BY
5. Joins and Relationships
a. Understanding different types of joins
b. Creating relationships between tables
6. Indexing and Optimization
a. Importance of indexing
b. Optimizing queries for better performance
7. Data Integrity and Constraints
a. Enforcing data integrity with constraints
b. Using PRIMARY KEY, FOREIGN KEY,
UNIQUE, and CHECK constraints
8. Introduction to Stored Procedures and
Functions
a. Creating and using stored procedures
b. Defining and calling functions
Note : For Detailed Syllabus Download our course brochure*
Key Highlights in Backend Development using Python Course
100% Job Assurance
Personalized Career Coach
80% Practical Training
Study App/Material
Capstone Projects
Weekend Test/Mocks
Industry Expert Trainers
Certificate of Completion
Spotlight on Success: Recent Placements
Empowering Dreams, One Job at a Time
Testimonials
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.
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.
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
- 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.
- 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.
- 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.
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.
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.
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.
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.
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.
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.
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.
