PYTHON FULL STACK
FULL-STACK PYTHON WEB DEVELOPMENT
SAFE Technologies is one of the top industry based full-stack python web development Trainers in Kerala. SAFE ensure full guaranteed job assurance and assistance programming training. This full-stack web developer training is designed with all the technology learning’s in detail, real-time projects, and scenario-based training is also provided.
WHAT IS FULL-STACK PYTHON WEB DEVELOPMENT
A stack is a combination of multiple technologies, frameworks, and tools concerned with Python programming language. Full-stack web development is a website development specialization where you will learn about developing the website from start to end. The package and the hiking process are more for a python full stack developer as they have profound knowledge about both front-end development and back-end development.
IMPORTANCE OF FULL-STACK PYTHON WEB DEVELOPMENT
Whenever a developer wants to build any application or web development, they always prefer Python as a programming language. It has some very famous frameworks like Django, which is more efficient, readable, and more. And the most important thing is that Python is the most accessible language to learn and understand.
And as we all know, present businesses are moving more towards online marketing and increasing their business promotions, resulting in more and more website development. Hence, if you are willing to start your career as a full-stack python web developer, this is the most enhanced field for you as this will help you develop your skills, upgrade your job, and secure it for a lifetime.
BECOME A PYTHON PROFESSIONAL
Upon completion of FullStack Course, students will be able to learn complete Application development in an easy and convenient way.
Students would be able begin their career as software developer trainee or expert professional right away.
- Python
- Introduction to python
- What is Python and history of Python?
- Unique features of Python
- Python-2 and Python-3 differences
- Install Python and Environment Setup
- First Python Program
- Python Identifiers, Keywords and Indentation
- Comments and document interlude in Python
- Command line arguments
- Getting User Input
- Python Data Types
- What are variables?
- Python Core objects and Functions
- Number and Maths
- Assignments
- Control Statements
- if-else
- if-elseif-else
- while loop
- for loop
- break
- continue
- assert
- pass
- return
- List, Ranges & Tuples in Python
- Introduction
- Lists in Python
- More about Lists
- Understanding Iterators
- Generators, Comprehensions and Lambda Expressions
- Generators and Yield
- Next and Ranges
- Understanding and using Ranges
- More About Ranges
- Ordered Sets with tuples
- Python Dictionaries and Sets
- Introduction to the section
- Python Dictionaries
- More on Dictionaries
- Sets
- Python Sets Examples
- Input and Output in Python
- Reading and writing text files
- writing Text Files
- Appending to Files and Challenge
- Writing Binary Files Manually
- Using Pickle to Write Binary Files
- Python function
- Python user defined functions
- Python packages functions
- Defining and calling Function
- The anonymous Functions
- Loops and statement in Python
- Python Modules & Packages
- Python Object Oriented
- Overview of OOP
- The self variable
- Constructor
- Types Of Variables
- Namespaces
- Creating Classes and Objects
- Inheritance
- Types of Methods
- Instance Methods
- Static Methods
- Class Methods
- Accessing attributes
- Built-In Class Attributes
- Destroying Objects
- Abstract classes and Interfaces
- Abstract Methods and Abstract class
- Interface in Python
- Abstract classes and Interfaces
- Exceptions
- Errors in Python
- Compile-Time Errors
- Runtime Errors
- Logical Errors
- What is Exception?
- Handling an exception
- try….except…else
- try-finally clause
- Argument of an Exception
- Python Standard Exceptions
- Raising an exceptions
- User-Defined Exceptions
- Python Regular Expressions
- Regular expressions
- The match Function
- The search Function
- Matching vs searching
- Search and Replace
- Extended Regular Expressions
- Wildcard
- Python Multithreaded Programming
- About Multithreading
- Difference between a Process and Thread
- Concurrent Programming and GIL
- Uses of Thread
- Starting a New Thread
- The Threading Module
- Thread Synchronization
- Locks
- Semaphore
- Deadlock of Threads
- Avoiding Deadlocks
- Daemon Threads
- USING DATABASES IN PYTHON
- Python MySQL Database Access
- Install the MySQLdb and other Packages
- Create Database Connection
- CREATE, INSERT, READ Operation
- DML and DDL Oepration with Databases
- Web Scraping in Python
- HTML
- Introduction to HTML
- Basic Structure of HTML
- HTML Editors
- HTML Tags
- Paragraphs, Headings and Text
- Formatting Tags
- HTML Lists
- HTML Images
- HTML Tables
- HTML Forms
- HTML Media
- CSS (CASCADING STYLE SHEETS)
- Introduction to CSS
- Types of CSS
- CSS Properties, Selectors and Values
- Applying CSS to HTML
- Paragraphs, Headings and Text
- CSS Box Model, Margins, Padding, Borders
- CSS Text & Font Formats
- CSS Advanced Topics (Effects, Animations, Shadows, Etc..)
- JAVASCRIPT
- Introduction to JavaScript
- How to Apply JavaScript
- Displaying Output in JavaScript
- Understanding JavaScript Syntax
- Variables & Datatypes
- Operators
- Math and String Manipulations
- Conditional and looping Statements
- Functions
- Validations
- Events
- BOOTSTRAP
- Introduction to Bootstrap
- Bootstrap Setup
- Bootstrap Containers
- Bootstrap Grids
- Bootstrap Tables
- Bootstrap Buttons, Navbars, Alerts
- Bootstrap Carousel
- Bootstrap Forms
- DJANGO WEB FRAMEWORK IN PYTHON
- Django overview
- Creating a project
- Apps life cycle
- Admin interface
- Creating views
- URL Mapping
- Template system
- Models
- Form details
- Testing
- Page redirection
- Sending Emails
- Deploying Django framework
- Form processing
- File uploading
- Cookie handling
- Sessions, caching and comments
- RSS,AJAX
- Sending Emails
- DATABASE
- Database Handling with MySQL
- Python MySQL Database Access
- Create Database Connection
- DML and DDL Operations with Databases
- Performing Transactions
- Handling Database Errors
- Disconnecting Database
- Database Handling with MongoDB
- SQL vs NoSQL
- Establishing a Connection
- Accessing Database
- DML and DDL Operations
- MySql
- MACHINE LEARNING
- Machine Learning Introduction
- Machine Learning Algorithms
- Linear Regression and Logistic Regression
- Decision Tree
- Graphical User Interface
- GUI in Python
- Button Widget
- Label Widget
- Text Widget
- NUMPY
- Introduction to numpy
- Creating arrays
- Indexing Arrays
- Array Transposition
- Universal Array Function
- Array Processing
- Array Input and Output
- Matplotlib: Data Visualization
- Python for Data Visualization
- Welcome to the Data Visualization Section
- Introduction to Matplotlib
- PANDAS
- Introduction to pandas
- Creating arrays
- Indexing Arrays
- Array Transposition
- Universal Array Function
- Array Processing
- Array Input and Output
- Matplotlib: Data Visualization
- Python for Data Visualization
- Welcome to the Data Visualization Section
Course Info
- Instructor:Binil Kumar J
- Lectures:15
- Quizzes:50
- Seat Available:30
- Duration:3 months