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Complete Python Program - Mastering from Fundamentals to Advanced Concepts

Live Course
interested count2k+ interested Geeks

Unlock the power of Python with this comprehensive guide, taking you from the basics to advanced techniques and empowering you to tackle any programming challenge with confidence.

levelBeginner and Intermediatecourse duration4 Weeks
interested count2k+ interested Geeks
Beginner FriendlyCourse CertificateCapstone Projects

Course Overview

Master Python's versatility from data science to web development. Our course blends theory and practice for tech-readiness.

Classroom Program Key Benefits:

  • Gain proficiency in Python Programming
  • Engage in hands-on codes, simulating real-world problems.
  • Master the art of debugging and error handling.
  • Learn about List Operations: Comprehensions, slicing, and list methods.
  • Learn about Data Manipulation, Analysis, and Visualization
  • Gain hands-on experience with Tkinter, Python's standard GUI toolkit, through a structured curriculum 

Ultimate Outcome:

  • Achieve end-to-end Python programming expertise.
  • Develop the acumen to analyze and visualize data.
  • Be well-prepared for a career in tech, with Python as a strong asset.

Enroll now for a rewarding journey through Python programming. Boost your career today!

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What you will learn

avtar

What you will learn

  • Grasp Python fundamentals and architecture.
  • Set up Python and popular code editors.
  • Master Python basics: variables, data types, control flow, functions, and I/O.
  • Manage Python data structures efficiently.
  • Understand NumPy and pandas essentials
  • Understand statistical analysis essentials.
  • Understand Tkinter essentials

Course Content

01Week 1

Lecture - 1: Introduction to Python

  • What is Python?
  • Installing Python & Setting up Environment
  • Running Python Scripts
  • Python Syntax & Indentation
  • Variables & Data Types

Lecture - 2: Python Basics

  • Type Casting
  • Operators (Arithmetic, Comparison, Logical, etc.)
  • Taking User Input
  • Comments in Python

Lecture - 3: Control Flow Statements (Part - 1)

  • Conditional Statements (if, elif, else)
  • Break, Continue, Pass Statements
02Week 2

Lecture - 4: Control Flow Statements (Part - 2)

  • Looping Constructs (for, while)
  • Match statement

Lecture - 5: Control Flow Statements Problem Solving

Lecture - 6: Data Structures in Python (Part - 1)

  • String
  • Lists (Operations, Methods, Slicing)
  • Tuples (Immutable Sequences)
03Week 3

Lecture -7 Data Structures in Python (Part -1)

  • Sets (Unique Elements, Set Operations)
  • Dictionaries (Key-Value Pairs)

Lecture -8 Functions & Modules

  • Defining Functions
  • Function Arguments & Return Values
  • Lambda (Anonymous) Functions
  • Python Built-in Modules
  • Creating & Importing Modules

Lecture -9

  • Exception Handling
  • Try, Except Blocks
  • Handling Multiple Exceptions
  • Finally & Raise Statements
  • File Handling
  • Reading & Writing Files
  • Working with Different File Modes
  • Deleting Files
04Week 4

Lecture - 10: Object-Oriented Programming (OOP) in Python (Part - 1)

  • Classes & Objects
  • Constructors, Methods

Lecture - 11: Object-Oriented Programming (OOP) in Python (Part - 2)

  • Inheritance & Polymorphism
  • Encapsulation & Abstraction

Lecture - 12: Final Project & Certification Preparation

Or (Depends on the Mentor)

Add Some Simple Mini Project that can be done within a single Session.

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Frequently Asked Questions

01

Is there any number to contact for query?

02

How does the admission process work for this course?

03

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