Python Full Stack Development
Learn to build websites with HTML, CSS, Bootstrap, JavaScript, Python 3, Django Framework, Data Analysis and Data Visualization
Course Duration
90 Days
Training Options
Onsite / Online
Rating
5/5
Why Should You Take Python Full Stack Development and Data Analysis and Visualization?
Python Development is in demand.
Python programming is rated as one of the happiest professions.
Python Development has a great career path.
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Instructor-led Python Full Stack Live Classes
Python Course Schedules
| Course | Date | Timings | Duration | Trainer | Training Options |
|---|---|---|---|---|---|
| Python Full Stack Development | 08-Feb-2023 | 07:30 AM - 09:00AM | 90 Days | Mr. Lokesh | Onsite / Online |
About Course
This Full Stack Python Developer course is designed to give you an essence of front-end, middleware, and back-end web developer technologies. You will learn to build an end-to-end application
About Trainer
- 8+ years of Real-time Experience in Python & Web Technologies
- Certified Python Consultant
- Experience in blend of Real-time Projects & Training’s
Training Options
ONSITE TRAINING
INR 12,000/-
- Effective Training by Industry Experts
- High-End Training Infrastructure
- Limited Students per batch
- Personalized & Focused Learning methodology
- Lifetime Study Materials,Videos and Tests through LMS App
- Assignments assessment and assurance
- Certification , Resume & Placement Support
ONLINE TRAINING
INR 12,000/-
- Smartboard & Live Video Streaming Environment
- Effective Training by Industry Experts
- Limited Students per batch
- Assignments assessment and assurance
- Lifetime Study Materials,Videos and Tests through LMS App
- Earn a Global Certificate
- Resume & Placement Support
Video Based Learning
INR 12,000/-
- High Quality Training Videos by Industry Experts
- Learn at your convenient time
- Lifetime Videos Access
- Free Upgrade & Support
- Study Material and Tests access through LMS
- Earn a Global Certificate
- Resume & Placement Support
Skills Covered
Curriculum
- How is Python? (History)
- What is Python?
- Why is Python?
- Where is Python?
- Install Python
- Install Git (Django)
- Install PyCharm (Django)
- Create GitHub repository (Django)
- Virtual Environment Setup
- Python Fundamentals (***)
- Variables
- Data types: String, Integer, Boolean, Float
- None Type
- Operators (***)
- Data Structure: List, Dictionary, Tuple, Array, Set
- Conditional Statement
- Looping Statement
- Nested Loop
- Control Looping
- Break and Continue, pass(**)
- Numbers (math-module & random-module)***
- Array-module(***)
- String in Python***
- List in Python***
- Tuple in Python***
- Set in Python***
- FrozenSet in Python***
- Dictionary in Python***
- Types of Functions (Function with/without Parameter and/or return value)
- Unnamed and Named Parameters
- Create User Defined Function
- Anonymous Lambda Function
- Time module(***)
- Calendar module(***)
- Datetime module(***)
- User-defined Modules(***)
- User-defined Packages(***)
- Iterator
- Generator
- Nested Function
- Decorator
- What is OOPs
- OOPs implemented in Python
- Inheritance and Polymorphism
- Operator and Method overriding
- Create Class and Core Python Object
- Class Attributes
- OOPS Abstraction(***)
- Abstract classes & Interfaces(***)
- Constructors & Destructors(***)
- Garbage Collection(***)
- Polymorphism Ducktyping(***)
- Operator Overloading with magic-methods(***)
- Inheritance super() method(***)
- Inner-classes(***)
- Types of Variables & Methods in Python class(***)
- self (sp-variable in Python class)***
- Basic Exception Handling
- ..Except…Else…Finally
- Debugging Errors
- Built in functions: String Related Functions, Integer Related Functions, Data Structure Related Functions, Common Functions
- Built in Modules: OS related Module, Mathematical Modules
- Write to a File
- Read from a File
- Check File and Copy File
- Pickle Module
- Working with Directories
- What is threading
- What is Multithreading?
- Different ways of Creating Threads
- Thread Synchronization
- Locks and Semaphores
- Thread Communication
- Create a database
- Working with MySQL Database or Oracle Database
- Python Database connection
- PDBC Steps
- PDBC Modules & its Methods
- Create a tables
- CRUD operations – Create, Read, Update, Delete
- Regular Expression Module
- Regular Expression Methods
- Quantifiers
- Special Characters
- What is Framework?
- Full stack Framework
- Django Overview
- MVT Architecture of Django
- Introduction to Web development and Django
- Django & PyCharm IDE Installation and
- Development of First Web Application
- Working with PyCharm IDE
- Downloading, Installating, First-Project in IDE
- Django Templates and Static Files
- Working with Models and Databases
- Working with Django Forms
- Working with Django Model Forms
- Working with Advanced Template Features
- Session Management
- User Authentication and Authorization
- Class Based Views and CRUD Operations by using both CBVs and FBVs
- Django ORM (MYSQL Database or SQLite3 or Oracle DB)
- Working with Advanced Model Concepts
- Working with Django Middleware
- Deployment of our application in the Live Environment
- Real Time Project: Web Application Development
- Overview of default Django Admin site
- Add models on Admin Page
- User Permissions and Groups
- Overview of Django Views
- Introduction to HTML
- HTML Tags
- HTML Lists
- Divs and Span
- Attributes
- HTML Tables
- HTML Forms
- Exercises
- Introduction to CSS
- CSS Colors
- CSS Backgrounds and Borders
- CSS Selectors
- CSS Specificity
- CSS Fonts
- CSS Box Model
- Exercises
- Introduction to JS
- Connecting JS
- Control Flow in JS
- While loop and for loop in JS
- Functions in JS
- Arrays in JS
- Objects in JS
- Exercises
- Introduction to Bootstrap
- Buttons
- Forms
- Navbars
- Grids
- Introduction to Numpy
- Numpy Arrays
- Numpy Array Indexing
- Numpy Operations
- Numpy Exercises
- Introduction to Pandas
- Series
- DataFrames
- Missing data and Groupby
- Merginig Joining and Concatenation
- Operations
- Data Input and Output
- Pandas Exercises
- Introduction to Data Visualization
- Introduction to Matplotlib
- Matplotlib plots Methods – Functional and Object Oriented
- Subplots
- Matplotlib Excercises
- Working with Scikit or SciPy modules
- Website Project using Python django Framework
- Deploying Python Django on Live Server on Internet (Live Website on Internet) www.yourwebsite.com
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Python Full Stack Development and Data Analysis and Visualization
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This is the best institute for Python full stock. They give placement assistance also, if you join in this institute your job struggles will end. Classrooms are very good. Recently I got placed through this institute. Let’s suggest joining people who are want to learn python.
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One of the best hub to prove yourself in python with supporting of friendly staff and faculty. Thank you qedge for giving me confidence, placement in good reputed company (caliber technologies) and good future.
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One of the best institute to learn python, It is the best opportunity to learn under exp faculties. they teaches very well. I got placement in middle of the course. I suggest to all learning python full stock in q- edge.
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Frequently Asked Questions
A full stack Python developer uses the Python programming language for the development of the entire technology stack of a web application. Python is a computer programming language that has become one of the more popular for application development.
Python full-stack developer is 90 days duration.
Any student can pursue the Python full-stack developer course. Whether a graduate or a postgraduate.
Our training will be a blend of theoretical and practical work on each topic. We also provide live exposure on projects and give assignments to improve your skill set.
Yes , Website Project using Python django and Data Capstone Project using Data analysis and Visualization
After completion of training, you will receive a certificate of completion, which you can share with your friends, relatives, co-workers and potential employers.
Yes, you’ll be able to access all course materials for lifetime through our Learning Management System. Practical Assignments , Day-to-Day Class notes including videos and readings you can access through our LMS App, so you can refer them any time using any device (Web/Mobile).
Be Future Ready. Enroll Now
Structure your learning and get a certificate to prove it.
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