Python

Python Full Stack Testing Program

Accelerate Your Career with Hands-On learning with this Python Full Stack Course

Welcome to Python Full Stack Hub, your one-stop resource for all things related to full-stack development with Python. Whether you're a seasoned developer, an aspiring programmer, or just curious about web development, our platform provides valuable insights, tools, and best practices to help you master frontend and backend development using Python, Django, Flask, JavaScript, HTML, CSS, and databases. Learn how to build scalable, secure, and dynamic web applications while gaining hands-on experience with RESTful APIs, authentication, and deployment strategies to excel in the world of Python full-stack development.


Course Syllabus

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Python Full Stack Course Overview

This course is designed to provide you with comprehensive knowledge of Python full-stack development, covering frontend, backend, and database management to help you build scalable and dynamic web applications. You will gain hands-on experience in Python, Django, Flask, HTML, CSS, JavaScript, and SQL, along with RESTful API integration, authentication, and cloud deployment. This course will equip you with the skills needed to become a proficient full-stack developer and build modern web applications from scratch.



Key Features

  • Get noticed by top companies through EdsoServices JobAssist Program
  • Hands-on training in Python Full Stack development with real-world applications
  • Master 15+ in-demand tools and technologies, including Python, Django, Flask, JavaScript, and SQL
  • 1 industry-aligned capstone project to build a full-stack web application
  • Comprehensive blended learning program covering frontend, backend, and database integration
  • 100+ hours of applied learning with industry-based case studies
  • 14 lesson-end & 4 phase-end hands-on projects to strengthen your Python Full Stack expertise

Skills covered

  • Python
  • Django
  • PostgreSQL
  • HTML
  • CSS
  • Reactjs
  • REST API
  • ORM

Benefits

Python is the most popular programming language for backend development and web development.It is one of the top-paying jobs in software development, The one with the Java certification can expect to earn an average of ₹12,00,000 per year.

Designation

Python Developer
Frontend Developer
Python Web Developer
Python API Developer

Annual Salary

Salary Chart

Source: Glassdoor

Companies

citi wipro ubs hexawarw

Source: Indeed

Python FUll Stack Certification Advantage

EdsoServices Python Full Stack Developer program provides extensive hands-on training in frontend and backend development, database management, and full-stack application deployment. This program covers industry-leading technologies such as Python, Django, Flask, JavaScript, React, HTML, CSS, SQL, and RESTful APIs. Gain real-world experience with phase-end and capstone projects based on real business scenarios, preparing you to build scalable and dynamic web applications with confidence.

Fast-Track Your Python Full Stack Development Career

This comprehensive curriculum covers more than 15 in-demand technologies to make your profile stand out as a Python Full Stack Developer.

With this program you will:

  • Learn core programming and web development concepts from leading industry experts with content structured for real-world applications
  • Build an end-to-end full-stack web application with Python, Django, Flask, React, and SQL
  • Earn an industry-recognized course completion certificate

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Course Visuals and Comprehensive Previews

Gain a Deeper Understanding through Detailed Lesson Excerpts and Highlights

Python Development Course Videos

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Course Syllabus

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Python Introduction and setting up the environment

  • Introduction to Programming
  • R or Python?
  • Why Python for Data Science?
  • Different Job Roles with Python
  • Different Python IDEs
  • Downloading and Setting up Python Environment
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Python Basic Syntax and Data Types

  • Python Input and Output Operations
  • Comments
  • Variables, Rules for Naming Variables
  • Basic Data Types in Python
  • Typecasting in Python
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Operators in Python

  • Arithmetic Operators
  • Assignment Operators
  • Comparison Operators
  • Logical Operators
  • Identity Operators
  • Membership Operators
  • Bitwise Operators
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Strings in Python

  • Creating Strings
  • String Formatting
  • Indexing
  • Slicing
  • String Methods
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Lists

  • Creating Lists
  • Properties of Lists
  • List Indexing
  • List Slicing
  • List of Lists
  • List Methods
  • Adding, Updating & Removing Elements from Lists
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Tuples

  • Syntax to Create Tuples
  • Tuple Properties
  • Indexing on Tuples
  • Slicing on Tuples
  • Tuple Methods
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Sets

  • Syntax for Creating Sets
  • Updating Sets
  • Set Operations and Methods
  • Difference Between Sets, Lists, and Tuples
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Dictionaries

  • Syntax for Creating Dictionaries
  • Storing Data in Dictionaries
  • Dictionaries Keys and Values
  • Accessing the Elements of Dictionaries
  • Dictionary Methods
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Python conditional Statements

  • Setting Logic with Conditional Statements
  • If Statements
  • If-Else Statements
  • If-Elif-Else Statements
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Loops in Python

  • Iterating with Python Loops
  • While Loop
  • For Loop
  • Range
  • Break
  • Continue
  • Pass
  • Enumerate
  • Zip
  • Assert
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Lists and Dictionaries comprehension

  • Why List Comprehension
  • Syntax for List Comprehension
  • Syntax for Dict Comprehension
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Functions

  • What are Functions
  • Modularity and Code Reusability
  • Creating Functions
  • Calling Functions
  • Passing Arguments
  • Positional Arguments
  • Keyword Arguments
  • Variable Length Arguments (*args)
  • Variable Keyword Length Arguments (**kargs)
  • Return Keyword in Python
  • Passing Function as Argument
  • Passing Function in Return
  • Global and Local Variables
  • Recursion
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Anonymous Function

  • Lambda
  • Lambda with Filter
  • Lambda with Map
  • Lambda with Reduce
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Generators

  • Creating and using generators
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Modules

  • Creating Modules
  • Importing Functions from Different Module
  • Importing Variables from Different Modules
  • Python Built-in Modules
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Packages

  • Creating Packages
  • Importing Modules from Package
  • Different Ways of Importing Modules and Packages
  • Working on Numpy, Pandas, and Matplotlib
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Exception and Error Handling

  • Syntax Errors
  • Logical Errors
  • Handling Errors Using Try, Except, and Finally
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Classes and Objects (OOPS)

  • Creating Classes & Objects
  • Attributes and Methods
  • Understanding __init__ Constructor Method
  • Class and Instance Attributes
  • Different Types of Methods
  • Instance Methods
  • Class Methods
  • Static Methods
  • Inheritance
  • Creating Child and Parent Class
  • Overriding Parent Methods
  • The super() Function
  • Understanding Types of Inheritance
  • Single Inheritance
  • Multiple Inheritance
  • Multilevel Inheritance
  • Polymorphism
  • Operator Overloading
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Date and Time

  • Date Module
  • Time Module
  • Datetime Module
  • Time Delta
  • Formatting Date and Time
  • strftime()
  • strptime()
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Regex

  • Understanding the Use of Regex
  • re.search()
  • re.compile()
  • re.find()
  • re.split()
  • re.sub()
  • Meta Characters and Their Use
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Files

  • Opening Files
  • Opening Different File Types
  • Read, Write, Close Files
  • Opening Files in Different Modes

MySQL Database

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Introduction to Database

  • What is a Database?
  • Why use a Database?
  • What is DBMS?
  • Types of DBMS
  • Introduction to SQL
  • Database vs DBMS vs SQL vs MySQL
  • MySQL Installation
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SQL Sublanguages

  • Introduction to SQL Sublanguages
  • Creating tables and describing its structure
  • DML: INSERT part-1
  • DML: INSERT part-2
  • Null and Not Null constraints, altering default behavior
  • DQL: Select
  • DCL: Commit, Rollback, Savepoint
  • DML: Working with Update and Delete commands
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MySQL Operators

  • Where Clause
  • Introduction to MySQL Operators-1
  • Introduction to MySQL Operators-2
  • MySQL Warnings vs Errors
  • Comparison Operators part-1
  • Logical AND and other comparison operators
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Comparison Operators

  • BETWEEN AND and NOT BETWEEN AND, OR operator in Logical Operators
  • IN and NOT IN Operator
  • IS NULL and IS NOT NULL
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DDL:Alter and Renamee Docs

  • ALTER ADD
  • ALTER MODIFY
  • ALTER DROP
  • ALTER RENAME
  • ALTER RENAME COLUMN
  • ALTER CHANGE
  • RENAME
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String Functions

  • Use of Alias
  • CONCAT
  • CONCAT WS
  • LOWER and UPPER
  • CHARACTER LENGTH and SUBSTRING
  • REVERSE and REPLACE
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Constraints

  • Introduction to Constraints
  • NOT NULL and DEFAULT Constraints
  • Primary Key Constraint
  • Unique Constraint
  • Working with Auto_Increment
  • CHECK Constraints
  • Relationships in DBMS (One to One, One to Many, etc.)
  • Introduction to Foreign Key Constraint
  • Working with Foreign Keys
  • REFERENTIAL ACTIONS and Alter Constraints
  • Alter-Add with Other Constraints
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Refining Selections and working with MySQL workbench

  • DISTINCT
  • ORDER BY - 1
  • ORDER BY - 2
  • LIMIT
  • LIKE
  • MySQL Workbench Installation
  • Working with MySQL Workbench
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Working with Aggrate function and SQL Files

  • Introduction to Aggregate Function
  • Count
  • Group by
  • Min and Max
  • Subqueries
  • Group by with Min and Max
  • Sum and AVG
  • Group by with SUM and AVG
  • Exporting MySQL Databases
  • Import MySQL Databases
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More on Data types

  • Char vs Varchar
  • Integer Data Types (SMALLINT, TINYINT, ...)
  • FLOAT vs DECIMAL
  • Working with Date and TIME
  • CURDATE, CURTIME, and CURRENT_TIMESTAMP
  • Date Functions
  • Time Functions
  • Formatting Dates
  • Operations on Dates
  • Datetime vs Timestamp
  • Automatic Initialization and Updating for TIMESTAMP and DATETIME
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MySQL JOINS

  • Why JOINS?
  • Introduction to JOINS
  • CROSS JOIN
  • INNER JOIN, LEFT OUTER JOIN, RIGHT OUTER JOIN

Python for Web Development – Flask

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Flask Introduction and installation

  • Introduction to Flask and its architecture
  • Installing Flask package and introduction to its components
  • Introduction to Virtual Environment and its importance in project development
  • Creating Virtual Environment and activating, deactivating it
  • Introduction to routing in Flask and building a sample Flask application
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Building routes with flask

  • What is a dynamic route?
  • Building dynamic routes with Flask
  • Redirection in Flask
  • Dynamic URL building with url_for function
  • URL converters in Flask
  • int and string URL converters
  • Float, uuid, and path converters
  • Request and response in Flask
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Getting into Front-end Web Development – HTML

  • Introduction
  • History and Importance of HTML
  • Basic HTML syntax
  • The current state of HTML
  • HTML resources
  • Choosing a code editor
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Basic Page Structure

  • Exploring an HTML document
  • DOCTYPE declarations
  • Document head
  • Document body
  • Understanding content models
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Formatting Page Content

  • Formatting content with HTML
  • Headings
  • Paragraphs
  • Emphasising text
  • Displaying special characters
  • Whitespaces
  • Images
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Creating Lists

  • Unordered lists
  • Ordered lists
  • Definition lists
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Structuring Content

  • Value of structure
  • Document outlines
  • Nav element
  • Article element
  • Section element
  • Aside element
  • Div element
  • Other semantic elements
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Creating Links

  • Anchor element
  • Page internal linking
  • Linking to external pages
  • Linking to downloadable files
  • Linking to page regions
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Controlling styling

  • HTML and CSS
  • Creating inline styles
  • Style element
  • Controlling typography
  • Adding colour
  • Externalising styles
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Basic Scripting

  • HTML and JavaScript
  • The script element
  • Writing a function
  • Using the DOM
  • Listening for an event
  • Responding to events
  • Externalizing JavaScript
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CSS3: Open with Google Docs

  • Getting started
  • HTML overview
  • Default browser styles
  • Browser support and inconsistencies
  • Inline, internal, and external CSS
  • Naming conventions
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CSS Core

  • Syntax, terminology, and naming conventions
  • Type, class, and id selectors
  • Combinator selectors
  • Selectors: Best practices
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Flask Request Handling

  • Introduction to Flask request object
  • Requests handling in Flask
  • Introduction to Flask files structure
  • Implementation of Flask files structure
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Jinja 2 Template Engine

  • Flask Intro to Jinja2
  • Rendering HTML pages with render_template function
  • Integrating CSS with Flask
  • More about url_for and its usage in Jinja2
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Dynamic Web Pages with flask-Jinja2

  • More on render_template and its syntax
  • Jinja2 outputting values to template
  • Introduction to Jinja2 Inheritance
  • Defining Inheritance blocks with Jinja2
  • Inheriting parent contents to child template with Jinja 'extends'
  • Introduction to Jinja2 statements
  • If statement in Jinja2
  • Nested if, if else statements in Jinja2
  • For loop in Jinja2
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CSS: Typography

  • Web-safe fonts and the font-family property
  • Web fonts and Google fonts
  • The font-size property
  • Practicing with web fonts and font-size
  • The font-style and font-weight properties
  • The color, line height, and text properties
  • Adjusting the font-weight property
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Layouts

  • Block vs. inline display
  • The box model
  • Margin and page layouts
  • Practising layouts
  • Practising with padding and spacing
  • Floats
  • Practising with floats
  • The box model fix
  • Practising with columns
  • Box model review
  • Float and display review
  • Horizontal navs with the display property
  • Horizontal navs with the float property
  • Practising with the nav element
  • Positioning
  • Practising with fixed navigation
  • Practising with positioning elements
  • Float, display, and position
  • Layers and the z-index property
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Login system with flask,Server side sessions

  • Introduction to Server side sessions
  • Server side sessions with flask_session
  • More on flask_session and session lifecycle control
  • Creating and popping user sessions
  • MySQL database integration with Flask using mysql_connector
  • More on mysql_connector package
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CSS

  • Horizontal navs with the display property
  • Horizontal navs with the float property
  • Practicing with the nav element
  • Positioning
  • Practicing with fixed navigation
  • Practicing with positioning elements
  • Float, display, and position
  • Layers and the z-index property
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Files Handling with flask

  • Introduction to binary data
  • Storing user files in MySQL database (i.e., PDFs, Excel, DOCX, etc.)
  • Viewing and downloading files with Flask’s send_file on browser
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CSS :Advanced layout

  • Design with a grid
  • Introduction to CSS Grid
  • CSS Grid example
  • Introduction to Flexbox
  • CSS Flexbox
  • Responsive page building

Javascript

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Introduction

  • What is JavaScript?
  • How does JavaScript relate to Java?
  • History of JavaScript
  • Navigating the JavaScript landscape
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Basics

  • Tools for JavaScript development
  • Introducing the browser console
  • Add inline JavaScript to an HTML document
  • Add JavaScript in an external file
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Writing JavaScript

  • Basic syntax & comments
  • Declarations
  • Arithmetic operators and math
  • Working with strings and numbers
  • Variable hoisting
  • Data structures and types
  • Literals
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JavaScript :Control flow

  • Conditional statements and logic
  • Advanced conditions and logic
  • if..else
  • Switch
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Arrays

  • Arrays
  • Typed arrays
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Loops and iteration

  • for while
  • do..while
  • break/continue
  • for…in
  • for..of
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Functions

  • Defining functions
  • Calling functions
  • Function scope
  • Closures
  • Arguments & parameters
  • Arrow functions

ReactJs

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Introduction to React.js

  • Setting up a React development environment (e.g., Node.js, npm, Create React App)
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Creating Your First React Application

  • Hello World example
  • Understanding React components
  • JSX syntax
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Understanding Components and Props

  • Functional components
  • Class components
  • Passing and using props
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State and Lifecycle

  • State in React components
  • Updating state
  • Component lifecycle methods
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React Hooks

  • useState()
  • useEffect()
  • useContext()
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Handling Events

  • Event handling in React
  • Binding event handlers
  • Arrow functions vs. regular functions
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Working with Forms

  • Controlled components
  • Handling form submission
  • Form validation
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Conditional Rendering

  • Conditional rendering with if statements
  • Ternary operators and logical && in JSX
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Lists and Keys

  • Rendering Lists
  • Using .map() to render lists of elements
  • Providing a key for each item
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Understanding Keys

  • The importance of keys in React
  • Choosing the correct key
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Styling in React.js

  • CSS in React
  • Different approaches for styling (CSS, CSS-in-JS, CSS Modules)
  • Inline styles
  • Styling Libraries
  • Popular CSS frameworks (e.g., Bootstrap, Material-UI)
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React Router

  • Introduction to React Router
  • Setting up React Router
  • Creating routes
  • Navigating with React Router
  • Using Link and NavLink
  • Nested Routes and Dynamic Routing
  • Nested routes
  • Passing parameters to routes
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Outcomes

  • Learner will be able to build end-to-end projects including deployment in cloud
  • Learner can apply to 7 different job roles
    • Python Developer
    • Backend Developer
    • Database Developer
    • Frontend Developer
    • UI Developer
    • Javascript Developer

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Python Development Course Review

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Python Developer

"The hands-on projects were the best part! We built a complete e-commerce application using Django for the backend and React.js for the frontend. This practical experience boosted my confidence and skills."

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Senior Python Developer

"The instructors were highly skilled and explained advanced topics like Redux, authentication using JWT, and database integration with PostgreSQL in a very structured and easy-to-follow manner. Their mentorship was invaluable."

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Full Stack Engineer

"This course didn’t just focus on coding but also covered essential tools like Git for version control and Docker for containerization. It gave me a comprehensive understanding of modern full-stack development practices."

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Senior Full Stack Developer

"Edso Services provided great career support, from mock interviews to portfolio preparation. The emphasis on building real-world applications and showcasing them to potential employers really helped me land a full-stack developer role."

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Software Developer

"Edso Services provided a well-balanced curriculum that covered both backend development with Python and frontend development with React.js. Learning how to connect REST APIs with the frontend was a game-changer for me."

Frequently Asked Questions (FAQ)

What is a Python certification?
A Python certification acts as a credential that validates your expertise in Python programming. The certification process involves passing an exam that assesses your understanding of key areas of Python programming including Python syntax, data structures, algorithms, and applications in various domains such as web development, data analysis, or automation.
Edso Services Python certification will help you demonstrate expertise to employers and clients, enhancing your career prospects. It will help you explore various job roles like software development, data science, and machine learning.
Why Learn Python?
Python is among some of the most popular and fast-growing programming languages available in the market. It is used to build web applications, game development, machine learning, ecommerce platforms, and scientific and numerical computing. Learning Python is beneficial whether you want to become a data scientist, machine learning engineer, data analyst, or software developer. Our Python course can help you understand how to learn and use this in-demand language and succeed as a Python developer in various fields.
What does a Python Developer do?
A Python developer is expected to design, build, deploy, and debug projects, primarily on the software back end. They create scalable Python code based on business needs to develop robust applications. Responsibilities vary by industry. Python is a rapidly growing language, highly valued in today’s job market. Many companies seek Python developers due to its versatile applications. Get Edso SerivcesPython certification to gain all you need to become a successful developer in today’s competitive job market.
What are the key components of a Python certification?
The key components of Edso Services Python certification include comprehensive coverage of essential Python programming knowledge areas like Python syntax, data structures, control flow, functions, and object-oriented programming concepts.
Python certification exams also assess your grasp of Python libraries and frameworks associated with specific domains like web development, data analysis, or machine learning. Practical coding exercises or projects are also part of the assessment process - validating your skills when it comes to real-world applications. Certification bodies also emphasize on testing your understanding of the best practices, debugging techniques, and code optimization to ensure that you have a well-rounded skill set in Python.
What are the job roles available after getting a Python certification?
Python programming is a must-have skill for many trending job roles, such as
  • Software Development
  • Web Development
  • Machine Learning
  • Business Intelligence Analysis
  • Data Analysis
  • Data Engineering
  • Network Programming, and (but not limited to)
  • Data Science
How do beginners learn Python programming?
Compared to other programming languages in computer science, Python has simpler syntax and English-like commands, making it easier for learners to grasp its basics. There are several Python courses available online to learn the programming language. Our Python certification is suitable for beginners, and the concepts are explained step-by-step to help build a strong foundation in Python. To become a Python programmer, you need more expertise and understanding of its various applications. This comprehensive Python course can help you get hands-on experience on Python and its powerful libraries, Python data structures, and Python syntax that you will be required to know in order to become a successful Python programmer.
Which companies hire Python Developers?
Enterprises and startups have continuous requirements for Python developers to work on a variety of projects. Google, Accenture, TCS, Cognizant, Facebook, Amazon, and Microsoft are some of the top technology companies hiring Python developers. Add our Python certification to your resume and increase your likelihood of getting hired by these companies.
What are the top Python certification exams, and which is the hardest Python certification?
Some of the top Python credentials include Python Institute's PCAP, Microsoft's Python certifications, and Cisco's Python certifications. These certifications validate proficiency in Python programming and are recognized globally across industries.
Why are Python certificates important?
Gaining Python certificates is very crucial to establishing yourself as a Python developer. The key reasons why you should consider getting a Python certificate are:
  • Validation of Skills: Python certificates are crucial for proving your expertise in Python programming. They help validate your skillset, boosting your credibility with potential employers or clients.
  • Enhanced Employability: Python certificates demonstrate your dedication to learning and growth, setting you apart in the job market and improving your chances of landing great career opportunities.
  • Industry Recognition: Our Python certification is respected by professionals and employers, showcasing your relevant skills and readiness to contribute to organizational goals.
How long does it take to learn Python?
With the right commitment to the learning process and consistent efforts, you can definitely learn the Python programming language within three months. Our Python course is meticulously designed to equip you with the requisite knowledge and skills required to master Python programming within this timeframe, facilitating your journey to becoming a proficient software developer. Through structured learning modules, hands-on exercises, and real-world projects, you'll receive comprehensive training that enhances your Python proficiency and prepares you to tackle its practical applications in various domains.
How good are the trainers at Edso Services?
At Edso Services, the instructors who are part of the Python certification program are selected based on their experience with Python programming and training expertise. We ensure they have extensive professional backgrounds in software development, data science, and related fields.
The instructors at Edso Services can effectively teach complex concepts, offer practical insights, and support learners in their upskilling journey. Comprehensive curriculum delivery, industry reputation built over many years of practical experience, teaching credentials, and their ability to align course content with industry standards and certification objectives are part of the selection criteria.
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