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//Python Mastery
Unlock Your Python Potential
Learn from Industry Experts. Build Real Projects. Grow with Confidence.
Whether you're a beginner or looking to sharpen your coding edge, our Python online classes are built to transform your learning experience. Dive into a flexible, hands-on curriculum guided by seasoned mentors who’ve solved real-world problems—and are ready to help you do the same.
  • Confidence in writing clean, efficient Python code
  • A portfolio of real-world projects to showcase your skills
  • The ability to think like a developer and solve problems logically
  • Support that turns challenges into stepping stones
  • A mindset shift—from just writing code to thinking like a problem-solver and innovator
Join Today
// Master Python in 4 Moves
4-Step Python Curriculum Framework
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Step One
Foundation
Goal - Build core understanding of Python syntax and basic programming concepts.
step_two
Step two
Core Programming
Goal: Develop problem-solving skills and work with essential Python tools.
step_three
Step three
Applied Python
Goal: Apply Python to real-world tasks and projects.
step_four
Step four
Career-Ready Skills
Goal: Prepare students for internships, jobs, or freelance work.
Online Classes via Google Meet
Python Course Curriculum
  • What is Python?
  • Why is Python popular?
  • Features of Python
  • Where is Python used in the industry?
  • Learning Path
  • Career Opportunities
  • Choosing the IDE
  • What is an IDE?
  • Features of an IDE
  • Best IDEs of Python
  • Values and Types
  • Variables
  • Variable Names and Keywords
  • Statements
  • Operators and Operands
  • Expressions
  • Order of Operations
  • Asking the User for Input
  • Commenting
  • Choosing Mnemonic and Variable Names
  • Debugging
  • Numbers
  • String
  • List
  • Dictionary
  • Tuple
  • Set
  • Type Conversion
  • Specialised Collections Data Types
  • Debugging
  • Boolean Expressions
  • Logical Operators
  • Conditional Execution
  • Chained Conditionals
  • Exceptional Handling
  • Debugging
  • Updating Variables
  • While Statements
  • Infinite Loops
  • Finishing Iterations with Continue
  • Definite loops
  • For Loops
  • Looping Patterns
  • Debugging
  • Function calls
  • Built-in Functions
  • Type Conversion Function
  • Math Functions
  • Random Numbers
  • Creating New Functions
  • Definition and Its Uses
  • Flow of Execution
  • Parameter and Arguments
  • Void Functions
  • Debugging
  • Arrays
  • What is an Array?
  • How to create Arrays in Python?
  • Accessing Array Elements
  • Basic Array Operations
  • Adding elements to an Array
  • Removing Elements of an Array
  • Slicing an Array
  • Looping through an Array
  • Debugging
  • Python File Handling System
  • File operations for Reading
  • Python File Write Method
  • Python Delete Files
  • Decorator
  • Lambda
  • Debugging
  • How to write anonymous Functions?
  • Map-Reduce Functions
  • Introduction to map(),filter(),reduce()
  • What are Generators?
  • Normal functions vs Generators
  • Writing Generators in Python
  • Generators with Loops
  • Generator Expressions
  • Use-Cases
  • Debugging
  • Classes & Objects
  • Inheritance in Python
  • Types of Inheritance
  • Python Super Function
  • Exception Handling
  • Try & Except block
  • Python Module
  • How to create a Module?
  • Python Modules Search Path
  • Date & Time
  • Time module
  • Debugging
  • What is Numpy?
  • Numpy vs List
  • Numpy Operations
  • Numpy Special Functions
  • SciPy
  • What is Python SciPy?
  • Basic Functions
  • Special Functions
  • Integration Functions
  • Linear Algebra
  • Interpolation Functions
  • Debugging
  • Data life-cycle
  • What is Pandas?
  • Pandas Operations
  • Example
  • Python for Statistics
  • Pydoop
  • Matplotlib
  • Data Visualization
  • Matplotlib
  • Types of Plots
  • Multiple Plots
  • Debugging
  • Data life-cycle
  • What is Pandas?
  • Pandas Operations
  • Example
  • Python for Statistics
  • Pydoop
  • Matplotlib
  • Data Visualization
  • Matplotlib
  • Types of Plots
  • Multiple Plots
  • Debugging
  • What are Frameworks in Python?
  • Python Web Development
  • Python Web Development Libraries
  • Python & Django
  • Web Scraping
  • Packages used for web Scraping
  • Project Work - 8 Hours
Course Duration 8 weeks*
// Who is this course for
Top Reasons to Kick start Your Python Journey with DigiCoach
Whether you're a student, a working professional, or someone looking to pivot into tech, Python is the perfect launchpad—and Digicoach is the ideal Trainer for your journey.
Industry-Ready Curriculum
DigiCoach Python course is built by professionals who know what employers want. You’ll master everything from basic syntax to advanced topics like data analysis, web development, and automation—making you job-ready from day one.
Hands-On Learning with Real Projects
No boring theory dumps here. You’ll build real-world applications, automate tasks, and even create your own mini AI tools. Every module includes practical assignments that sharpen your skills and boost your confidence.
Personalized Mentorship
Get one-on-one guidance from expert mentors, resume-building help, and mock interviews. DigiCoach doesn’t just teach Python—they help you launch a career with it.
Career Support
Get one-on-one guidance from expert mentors, resume-building help, and mock interviews. DigiCoach doesn’t just teach Python—they help you launch a career with it.
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