PYTHON FULL STACK

About Python Full Stack

Python is a popular programming language that is widely used in web development, data analysis, artificial intelligence, and scientific computing. It is known for its simplicity, flexibility, and large ecosystem of libraries and frameworks.

A full stack Python developer is a person who can develop and maintain a complete web application using Python. This includes the front-end, back-end, and database layers of the application.

The front-end of a web application is responsible for the user interface and the way the application looks and feels. It is typically developed using HTML, CSS, and JavaScript. In Python, there are several frameworks that can be used to build the front-end of a web application, such as Django, Flask, Pyramid, and web2py. These frameworks provide pre-built components and tools that make it easier to develop the front-end of a web application.

The back-end of a web application is responsible for the business logic and the way the application works. It is typically developed using a server-side language, such as Python. In Python, there are several frameworks that can be used to build the back-end of a web application, such as Django, Flask, Pyramid, and web2py. These frameworks provide pre-built components and tools that make it easier to develop the back-end of a web application.

The database layer of a web application is responsible for storing and retrieving data. In Python, there are several libraries and frameworks that can be used to connect to a database and perform database operations, such as SQL Alchemy, PyMySQL, and Django ORM.

To be a full stack Python developer, you should have a good understanding of the following technologies:

1.   1.   HTML, CSS, and JavaScript for front-end development


2.   2.   Python for back-end development


3.   3.   SQL and database concepts for database development


4.   4.   Git for version control


5.   5.   Basic Linux commands for server management

In addition to these technologies, it is also helpful to have a basic understanding of other related technologies, such as HTTP, REST, and web security.

To become a full stack Python developer, you should start by learning the basics of Python programming. This can be done through online courses, books, or interactive tutorials. Once you have a good understanding of Python, you can start learning about web development using Python frameworks, such as Django or Flask. You should also learn about database concepts and SQL, and how to use Python libraries and frameworks to connect to a database and perform database operations.

In addition to learning the technical skills, iWith a strong foundation in Python and full stack development, you will be able to build and maintain complex web applications. You may also be able to work on projects that involve data analysis, machine learning, and automation. Some industries that often hire full stack Python developers include finance, healthcare, e-commerce, and social media.t is also important to develop good problem-solving and communication skills, as well as the ability to work well in a team. Full stack Python developers should also be familiar with Agile software development methodologies and be able to work in a fast-paced, iterative development environment.

In conclusion, full stack Python development involves the development and maintenance of a complete web application using Python. It requires a good understanding of front-end, back-end, and database technologies, as well as problem-solving and communication skills. With the right skills and experience, full stack Python developers can build and maintain a wide variety of web applications, from simple websites to complex web-based systems.

Top 10 Reason To Do Python Full Stack Program

Here are ten reasons why you may want to consider pursuing a Python full stack program:

1. 1. High Demand:  There is a high demand for full stack Python developers in the job market, so you can expect a good number of job opportunities.


2. 2. High Salary:  Full stack Python developers are well-paid, with an average salary of over $100,000 per year in the United States.


3. 3. Versatility:  Python is a versatile language that is used in a wide range of fields, including web development, data science, artificial intelligence, and scientific computing.


4. 4. Ease of Learning:  Python is known for its simplicity and readability, making it an excellent choice for beginners.


5. 5. Large Community:  Python has a large and active community of users and developers, so you can get help and support when you need it.


6. 6. Extensive Libraries:  Python has a wealth of libraries and frameworks that make it easy to build web applications and perform tasks such as data analysis and machine learning.


7. 7. Good for Prototyping:  Python's simplicity and versatility make it an ideal language for prototyping and building MVPs (minimum viable products).


8. 8. Scalability:  Python is well-suited for building large-scale applications that need to be scalable.


9. 9. Wide Range of Applications:  Python is used in a wide range of applications, including web development, scientific computing, data analysis, and artificial intelligence.


10. 10. Job Opportunities:  As mentioned earlier, there are many job opportunities for full stack Python developers, and the demand for these professionals is likely to continue growing in the future.

Career After Python Full Stack Program

Completing a Python full stack program can open up many career opportunities for you. Some job titles you may be qualified for after completing such a program include:

1.   1.   Full Stack Python Developer


2.   2.   Python Web Developer


3.   3.   Python Software Engineer


4.   4.   Python Backend Developer


5.   5.   Python DevOps Engineer

With a strong foundation in Python and full stack development, you will be able to build and maintain complex web applications. You may also be able to work on projects that involve data analysis, machine learning, and automation. Some industries that often hire full stack Python developers include finance, healthcare, e-commerce, and social media.

To increase your chances of getting hired, it's a good idea to build up a portfolio of projects that you can show to potential employers. You should also continue to learn and stay up-to-date with the latest technologies and best practices in the field.

  Get Certified

Earn your Python Full Stack Developer certificate

Our Python Full Stack Developer Program is exhaustive and this certificate is proof that you have taken a big leap in mastering the domain.

Differentiate Yourself with a Master's Certificate

The knowledge and Python Full Stack Developer skills you've gained working on projects, simulations, case studies will set you ahead of the competition.

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Course Syllabus

• Syllabus
• Duration
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• •   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
  • INTRODUCTION TO CSS
  • TYPES OF CSS
  • CSS PROPERTIES, SELECTORS AND VALUES
  • APPLYING CSS TO HTML
  • CSS COLORS
  • 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
• •   ANGULARJS
  • INTRODUCTION TO ANGULAR
  • ENVIRONMENT SETUP
  • INSTALLING ANGULAR CLI
  • DIRECTORY STRUCTURE OF ANGULAR
  • ANGULAR FUNDAMENTALS
  • ANGULAR BUILDING BLOCKS
  • ANGULAR DATA BINDING
  • STRING INTERPOLATION
  • DIRECTIVES AND PIPES
  • FORMS
  • APPROACHES (DRIVEN & REACTIVE)
  • VALIDATORS
  • ROUTING
• •   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 BUILT IN FUNCTION
  • PYTHON USER DEFINED FUNCTIONS
  • PYTHON PACKAGES FUNCTIONS
  • DEFINING AND CALLING FUNCTIONTHE 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 EXCEPTIONTRY….EXCEPT…ELSETRY-FINALLY CLAUSE.
  • ARGUMENT OF AN EXCEPTION
  • PYTHON STANDARD EXCEPTIONS
  • RAISING AN EXCEPTIONS
  • USER-DEFINED EXCEPTIONS
• •   PYTHON REGULAR EXPRESSIONS
  • WHAT ARE REGULAR EXPRESSIONS?
  • THE MATCH FUNCTION
  • THE SEARCH FUNCTION
  • MATCHING VS SEARCHING
  • SEARCH AND REPLACE
  • EXTENDED REGULAR EXPRESSIONS
  • WILDCARD
• •   PYTHON MULTITHREADED PROGRAMMING
  • WHAT IS 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
  • 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
• •   DATA SCIENCE USING PYTHON- 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
  • MATPLOTLIB
  • PANDAS
• •   GRAPHICAL USER INTERFACE
  • HTML, CSS, JQUERY, BOOTSTRAP
  • GUI IN PYTHON
  • BUTTON WIDGET
  • LABEL WIDGET
  • TEXT WIDGET
  • REST API
• •   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
  • GITHUB , BIGBUCKET
  • FLASK FRAMEWORK & TKINTER GUI FRAMEWORK
  • OVERVIEW OF FLASK FRAMEWORK
  • INSTALLATION OF FLASK
  • DEMO APPLICATION
• •   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
  • MONGODB
  • PYMONGO
  • ESTABLISHING A CONNECTION
  • ACCESSING DATABASE
  • DML AND DDL OPERATIONS

TYPE	DURATION	HOURS	TRAINING MODE
Regular Track	45-60 Days	2 Hours a Day	Live Classroom
Weekend Track	8 Weekends	3 Hours a Day	Live Classroom
Fast Track	7 Days	6+ Hours a Day	Live Classroom

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Student Reviews

Ridhu

25/01/2023 11:12:50pm

This is the best institute for IT certification course. I have already completed my Python Full Stack course. Also Edu tech boom's Placement Assistance is very good. You can easily get placement in a reputed companies after complete your course from here.

Kanchan

11/12/2022 10:03:21am

Hi.. everyone got to know about the Edu Tech Boom doing my adobe animation course faculties are very adorable and helpful. I am satisfied with their service

manish

26/11/2022 11:14:23am

I am a student of python in Edu Tech Boom, It is a good place for learning and improving tech skills . and our trainer anil sir guides us at every level.

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