Leave your message to get our Quick response
edoxi automated message icon
Select a Location
flag
Select Location
request a call back icon
Request a Callback

Please Fill to Request A Call back

Contact Number Icon
+971 43801666
Home
Software Development
Programming Languages
Python

Python Programming Course

Man working at a computer with code on the screen, suggesting programming or software development.
Edoxi’s 40-hour Online Python Training starts with Python fundamentals and slowly advances to complex concepts. The Python Beginner-level course is covered in the first 20 hours, and the Python advanced-level course is covered in the next 20 hours. Our hands-on training sessions enable you to master core Python concepts, including data types, control structures, and functions. Our trainers have included multithreading, decorators, and advanced Python libraries in the course curriculum. We provide the flexibility to customize the training according to your knowledge level. Join us to start your journey as a Python Developer! 
Course Duration
40 Hours
Corporate Days
5 days
Learners Enrolled
800+
Modules
14
Download Brochure download-icon

Please Fill to Download Brochure

Request Course Infodownload-icon

Please Fill to Request A Call back

star-rating-icon1
star-rating-icon2
star-rating-icon3
Course Rating
4.9
star-rating-4.9
Mode of Delivery
Online
Certification by
  • -accreditation-logo

What You'll Learn from the Python Programming Course

Python Programming Fundamentals
You will master core Python concepts, including data types, control structures, and functions.
Object-Oriented Programming Mastery
You will master advanced OOP concepts, and you will gain expertise in creating efficient, reusable code using classes.
Data Structure Implementation
You will learn optimization techniques for data handling. (We begin with basic lists and dictionaries, then advance to complex data structures.)
Database and GUI Development
You will learn to create sophisticated graphical interfaces using TKinter. (We start with file handling basics, then move to MySQL integration.)
Advanced Python Applications
You will master multithreading, decorators, and advanced Python libraries. (Develop from simple programs to complex applications.)
Professional Development Skills
You will learn industry-standard practices using PyCharm and Visual Studio Code. (Progress from basic IDE usage to professional development environments.

About Our Python Programming Course 

Edoxi’s 40-hour Python Course is designed to guide participants from foundational knowledge to advanced expertise. We offer comprehensive Python programming training at two levels. The 20-hour Python Beginner course focuses on Python syntax, data structures, and foundational programming concepts. The 20-hour Python Advanced course explores complex topics like object-oriented programming, graphical user interfaces, and database integration.

You will receive hands-on training to create sophisticated graphical interfaces using TKinter. Our expert-led sessions will help you learn industry-standard practices using PyCharm and Visual Studio Code. We follow a structured approach in hands-on training that enables you to master both fundamental and advanced Python concepts.

The Python language is now widely used in AI and Machine Learning. Our one-to-one training approach helps you achieve career goals in fields like software development, data analysis, or system automation. Check out the table below to learn more about the Python beginner training and the Python advanced training. 

Course Details

Python Beginner

Python Advanced

Duration 

20 hours

20 hours

Course Focus

Programming basics, IDEs, file handling, functions, exception handling, control flow statements, and Python data structures.

OOP concepts, GUI development, database handling, multithreading, TKinter, and advanced Python libraries.

Ideal for

Complete beginners starting their programming journey

Programmers with fundamental knowledge of Python

Edoxi’s Python course addresses diverse industry needs in software development, data analysis, and automation. Enrol now to start a rewarding career as a Python Developer! 

Python Programming Course Features

Personalized One-to-One Training

We ensure participants receive individual attention and help them with their adaptive Learning Pace.

Professional Development Environment

We help you progress from basic IDE usage to professional development environments.

Dual-Level Learning Path

We offer a dual learning path (Beginner and Advanced Level Python Training) to the participants.

Customization Option

We provide course customization options to the participants based on their knowledge level.

Real-Life Projects

We help participants gain practical exposure through real-life projects.

Full Learning Support

We provide Beginner to Advanced learning support through the Complete Development Toolkit, Study Materials, and guides.

Who Can Join Python Training?

For the Beginner-Level Python Course

University Students, Fresh Graduates, and those looking for a career transition can join the Beginner-Level Python Training.

For the Advanced-Level Python Course

Entry-level IT Professionals, Software Developers, Seasoned Programmers, & Coders looking for upskilling opportunities can join Python Advanced Training.

Request Course Information

Python Training Modules


Python-Beginner Level

Module 1: Getting Started with Python

  • Chapter 1.1: Introduction to Python

    • Lesson 1.1.1: History & Need of Python
    • Lesson 1.1.2: Applications of Python
    • Lesson 1.1.3: Advantages and Disadvantages of Python

  • Chapter 1.2: Setting Up Python

    • Lesson 1.2.1: Installing Python
    • Lesson 1.2.2: Program Structure in Python
    • Lesson 1.2.3: Interactive Shell and Script Files
    • Lesson 1.2.4: User Interface or IDEs for Python
Module 2: Python Fundamentals

  • Chapter 2.1: Modes of Python

    • Lesson 2.1.1: Working with Interactive Mode
    • Lesson 2.1.2: Working with Script Mode

  • Chapter 2.2: Basics of Python Syntax

    • Lesson 2.2.1: Python Character Set and Tokens
    • Lesson 2.2.2: Keywords, Identifiers, and Literals
    • Lesson 2.2.3: Operators and Variables
    • Lesson 2.2.4: Input and Output in Python
Module 3: Data Handling in Python

  • Chapter 3.1: Python Data Types

    • Lesson 3.1.1: Numbers and Strings
    • Lesson 3.1.2: Lists, Tuples, and Dictionaries
    • Lesson 3.1.3: Set, Frozen Set, and Bool Types
    • Lesson 3.1.4: Mutable and Immutable Data Types
Module 4: List Manipulation

  • Chapter 4.1: Working with Lists

    • Lesson 4.1.1: Introduction to Python Lists
    • Lesson 4.1.2: Creating and Accessing Lists
    • Lesson 4.1.3: Joining and Replicating Lists
    • Lesson 4.1.4: List Slicing Techniques
Module 5: String Manipulation

  • Chapter 5.1: String Handling in Python

    • Lesson 5.1.1: Introduction to Python Strings
    • Lesson 5.1.2: Accessing Individual Elements
    • Lesson 5.1.3: String Operators and Slicing
    • Lesson 5.1.4: String Functions and Methods
Module 6: Tuples and Dictionaries

  • Chapter 6.1: Working with Tuples

    • Lesson 6.1.1: Introduction to Tuples
    • Lesson 6.1.2: Creating and Accessing Tuples
    • Lesson 6.1.3: Joining, Replicating, and Slicing Tuples

  • Chapter 6.2: Working with Dictionaries

    • Lesson 6.2.1: Introduction to Dictionaries
    • Lesson 6.2.2: Accessing Values and Working with Dictionaries
    • Lesson 6.2.3: Dictionary Properties
Module 7: Sets and Frozen Sets

  • Chapter 7.1: Introduction to Sets

    • Lesson 7.1.1: Creating and Accessing Sets
    • Lesson 7.1.2: Joining, Replicating, and Slicing Sets
    • Lesson 7.1.3: Overview of Frozensets
Module 8: Operators in Python

  • Chapter 8.1: Types of Operators

    • Lesson 8.1.1: Arithmetic and Relational Operators
    • Lesson 8.1.2: Logical and Membership Operators
    • Lesson 8.1.3: Identity and Bitwise Operators
    • Lesson 8.1.4: Assignment Operators and Precedence

  • Chapter 8.2: Expressions and Type Casting

    • Lesson 8.2.1: Evaluating Expressions
    • Lesson 8.2.2: Type Casting in Python
Module 9: Program Control Flow

  • Chapter 9.1: Conditional Statements

    • Lesson 9.1.1: The if Statement
    • Lesson 9.1.2: The if-else and if-Elif Statements
    • Lesson 9.1.3: Nested if Statements and Python Indentation

  • Chapter 9.2: Looping and Iteration

    • Lesson 9.2.1: The For Loop
    • Lesson 9.2.2: The While Loop
    • Lesson 9.2.3: Loop Else and Nested Loops
    • Lesson 9.2.4: Break and Continue

  • Chapter 9.3: The Range Function

    • Lesson 9.3.1: Introduction to range()
    • Lesson 9.3.2: Types and Uses of range()
Module 10: User-Defined Functions

  • Chapter 10.1: Function Basics

    • Lesson 10.1.1: Structure of Python Programs with UDF
    • Lesson 10.1.2: Invoking UDF and Flow of Execution
    • Lesson 10.1.3: Arguments and Parameters in Functions

  • Chapter 10.2: Advanced Functions

    • Lesson 10.2.1: Default and Named Arguments
    • Lesson 10.2.2: Scope of Variables and Lambda Functions
    • Lesson 10.2.3: Recursion in Python
Module 11: Modules and Packages

  • Chapter 11.1: Working with Modules

    • Lesson 11.1.1: Importing Built-in Modules
    • Lesson 11.1.2: Examples: builtins, os, time, date, etc.

  • Chapter 11.2: User-Defined Modules

    • Lesson 11.2.1: Structure of Python Modules
Module 12: File Operations

  • Chapter 12.1: Handling Files in Python

    • Lesson 12.1.1: Text and Bytes Files
    • Lesson 12.1.2: Reading and Writing Files
    • Lesson 12.1.3: Other File Tools
Module 13: Classes and Objects

  • Chapter 13.1: Object-Oriented Programming Basics

    • Lesson 13.1.1: Classes as User-Defined Data Types
    • Lesson 13.1.2: Creating and Using Classes and Objects

  • Chapter 13.2: Advanced OOP Concepts

    • Lesson 13.2.1: Encapsulation, Inheritance, and Polymorphism
Module 14: Projects

  • Chapter 14.1: Console Project

    • Lesson 14.1.1: Implementing Learned Concepts in a Project

Python-Advanced Level

Module 1: Exception Handling

  • Chapter 1.1: Understanding Exceptions

    • Lesson 1.1.1: Default Exceptions and Errors
    • Lesson 1.1.2: Catching Exceptions
    • Lesson 1.1.3: Raising Exceptions

  • Chapter 1.2: Advanced Exception Handling

    • Lesson 1.2.1: Try-Except Statement
    • Lesson 1.2.2: Raise, Assert, and Finally Blocks
    • Lesson 1.2.3: User-Defined Exceptions
Module 2: Detailed OOP Concepts

  • Chapter 2.1: Programming Paradigms

    • Lesson 2.1.1: Procedural vs Modular Programming
    • Lesson 2.1.2: Introduction to Object-Oriented Programming

  • Chapter 2.2: Core OOP Principles

    • Lesson 2.2.1: Data Abstraction and Data Hiding
    • Lesson 2.2.2: Encapsulation and Modularity
    • Lesson 2.2.3: Inheritance and Polymorphism
Module 3: Database Integration with Python

  • Chapter 3.1: Working with MySQL

    • Lesson 3.1.1: Introduction to MySQL
    • Lesson 3.1.2: Installing and Setting up Workbench

  • Chapter 3.2: PyMySQL Integration

    • Lesson 3.2.1: Establishing Connections
    • Lesson 3.2.2: Executing Queries and Transactions
    • Lesson 3.2.3: Error Handling in Databases
Module 4: GUI Programming with Tkinter

  • Chapter 4.1: Introduction to GUI Programming

    • Lesson 4.1.1: Basics of Tkinter Programming

  • Chapter 4.2: Tkinter Widgets

    • Lesson 4.2.1: Frame and Button Widgets
    • Lesson 4.2.2: Label and Entry Widgets
    • Lesson 4.2.3: Notebook Widgets
Module 5: Turtle Programming

  • Chapter 5.1: Getting Started with Turtle

    • Lesson 5.1.1: Introduction to Turtle
    • Lesson 5.1.2: Controlling the Turtle

  • Chapter 5.2: Advanced Turtle Features

    • Lesson 5.2.1: Animation Programming with Turtle
Module 6: Multithreading in Python

  • Chapter 6.1: Introduction to Multithreading

    • Lesson 6.1.1: Threads and Processes
    • Lesson 6.1.2: Starting Threads and the Threading Module

  • Chapter 6.2: Advanced Thread Management

    • Lesson 6.2.1: Synchronizing Threads
    • Lesson 6.2.2: Multithreaded Priority Queue
Module 7: Networking in Python

  • Chapter 7.1: Socket Programming

    • Lesson 7.1.1: Understanding the Socket Module
    • Lesson 7.1.2: Server-Client-Socket Communication

  • Chapter 7.2: Networking Applications

    • Lesson 7.2.1: Connecting Client and Server
    • Lesson 7.2.2: Creating a Client-Server Chatting Program
Module 8: Regular Expressions

  • Chapter 8.1: Basics of Regular Expressions

    • Lesson 8.1.1: Match and Search Functions
    • Lesson 8.1.2: Grouping and Matching at the Beginning or End

  • Chapter 8.2: Advanced Regular Expressions

    • Lesson 8.2.1: Match Objects and Flags
Module 9: Advanced Python Concepts

  • Chapter 9.1: Iterators and Generators

    • Lesson 9.1.1: Working with Generators
    • Lesson 9.1.2: Understanding Iterators

  • Chapter 9.2: Additional Advanced Concepts

    • Lesson 9.2.1: Decorators
    • Lesson 9.2.2: Coroutines
Module 10: CGI (Common Gateway Interface)

  • Chapter 10.1: Basics of CGI

    • Lesson 10.1.1: CGI Architecture and Environment Variables
    • Lesson 10.1.2: GET and POST Methods

  • Chapter 10.2: Advanced CGI Features

    • Lesson 10.2.1: Handling Cookies
    • Lesson 10.2.2: File Uploads in CGI
Module 11: Projects

  • Chapter 11.1: Practical Applications

    • Lesson 11.1.1: Console-Based Project
    • Lesson 11.1.2: GUI-Based Project

Download Python Course Brochure

Real-time Projects and Activities in Python Programming courses

Both Beginner and Advanced-level Python courses include multiple real-time activities & projects. Here is a list of activities & projects in the Python Programming Course.

Projects

  • ATM Banking System

    Simulate ATM transactions using global and local variables.

  • Employee Management System

    Manage employee records with add, update, and delete features.

  • Student Grades File Management

    Read and write student grades to a file.

  • OOP Vehicle Class

    Demonstrate inheritance types with a Vehicle class.

  • Bank Account Polymorphism

    Use operator overloading and method overriding for account operations.

Interactive Exercises in Python Training

BMI Calculator

Calculate BMI and interpret results.

Voting Eligibility Checker

Check voting eligibility based on age.

Multiplication Table and Dice Roll Game

Generate a multiplication table and simulate dice rolls.

Number Guessing Game

Create a number-guessing game using loops.

Console-based Calculator

Perform basic arithmetic using functions.

Division with Exception Handling

Handle division errors like division by zero.

Python Programming Course Outcome & Job Opportunities

Python Language dominates the field of data analytics, machine learning, and data analytics. Mastering the Python Language prepares you for diverse roles across various industries. Our Python training offers strong foundational knowledge of the Python Programming Language and gives you credibility to take on complex coding tasks. The following are the key outcomes of Python Programming Training.

Course Outcome Image
Enables you to explore a vast ecosystem of libraries and frameworks for various tasks.
Enables you to write scripts to automate repetitive tasks.
Boosts your career prospects and earning potential.
Gives you the flexibility to work on multiple platforms.
Helps you integrate easily with other languages like C++ and Java.
Helps you speed up the process of debugging and workflows.

Career Opportunities For Python Language Experts:

  • Junior Python Developer
  • Python Developer Intern
  • Associate Python Developer
  • Python Developer
  • Software Engineer (Python)
  • Backend Developer (Python)
  • Senior Python Developer
  • Lead Python Developer
  • Principal Software Engineer (Python)

Python Training Options

Live Online Training

  • Total of 40 Hours Training

  • Live interactive sessions

  • Hands-on coding with immediate support

  • One-to-one online training

  • Flexible timing options

Corporate Training

  • Customized training programs

  • Content adapted to business requirements

  • Venue arrangement at Hotel/Client Premises/Edoxi

  • Food and Refreshments included

Do You Want a Customised Training for Python?

Get expert assistance in getting your Python Course customised!

How to Get Certified in Python?

Here’s a four-step guide to becoming a certified Python professional.

  • Enrol in Edoxi’s Python course
  • Attend training sessions by our expert trainers
  • Submit Your Projects and Schedule Your Exam
  • Get Course Completion Certification from Edoxi
  • slider
  • certificate1

Do You Want to be a Certified Professional in Python?

Join Edoxi’s Python Course

Why Choose Edoxi for Python Programming Training?

The following are the reasons why students and professionals choose Edoxi for Python Training,

One-to-One Training

We provide one-to-one training to the participants to ensure they understand the concepts thoroughly.

Customized Learning Pathway

We provide tailored guidance and customized training based on your level of Python knowledge.

Comprehensive Practical Training

Participants engage in real-world activities and projects in Python.

Course Completion Certification

You will receive Edoxi’s course completion certification after finishing the Python Training.

students-image

Edoxi is Recommended by 95% of our Students

Meet Our Mentor

Our mentors are leaders and experts in their fields. They can challenge and guide you on your road to success!

mentor-image

Afreen M

Afreen, with four years of dedicated teaching experience, has successfully trained over 100 students in programming languages like Python, SQL, and Java. She combines her technical expertise with a passion for education, tailoring her instruction to suit the unique needs of young learners. Her interests in reading and working on coding projects help her design engaging and practical learning experiences for her students.

Afreen’s teaching philosophy emphasizes hands-on learning, guiding children through projects like game development and calculator applications. Her balanced approach helps students build confidence in technology while mastering essential programming skills. By staying actively engaged with personal coding projects, she ensures her teaching remains current, practical, and effective, creating an encouraging environment where children can explore and understand coding concepts with ease.

Locations Where Edoxi Offers Python Certification Course

Here is the list of other major locations where Edoxi offers Python Certification Course

FAQ

What are the prerequisites for joining Edoxi’s Beginner-level Python programming course?
There are no prerequisites for joining Edoxi’s Beginner-level Python programming course. Anyone can join our beginner-level Python course. 
What are the prerequisites for joining Edoxi’s Advanced-level Python programming course?

The following are the prerequisites for joining  Edoxi’s Advanced-level Python programming course

    • Understanding of basic Python syntax and control structures
    • Familiarity with fundamental programming concepts
What is the application of Python in Software Development and Data Science?
The application of Python in Software Development and Data Science is given below, 
 
Industry Core Python Applications Advanced Python Solutions
Technology & Software Development Web development fundamentals, Basic automation scripts Enterprise applications, Full-stack web solutions
Data Science & Analytics Data cleaning and preprocessing, Basic Pandas operations Advanced data manipulation with NumPy, Complex analytics pipelines
Do you provide Python Training for kids?
Yes, we provide Python classes exclusively for kids. 
What is the average salary of a Python Developer?
The average salary of a Python Developer is $102,500 Per Annum.