Course Details

Python Mastery Essentials: Python 3

Data Science

Last Update

September 13, 2023

Created On

June 27, 2023

Description

Python is a versatile high-level programming language known for its simplicity and readability. You'll learn the essentials of Python 3 in this course, which you can then use to solve problems in the real world.

Overview

The "Python Mastery Essentials" course provides a comprehensive learning journey covering Python fundamentals, data handling, advanced topics, object-oriented programming, file and database management, and API interaction, with hands-on challenges and projects, equipping participants with the skills to become proficient Python programmers, ready to tackle real-world coding tasks and projects with confidence.

Features

  • Comprehensive Curriculum
  • Hands-On Projects
  • Interactive Learning
  • Lifetime Access
  • Course material
  • Assignments
  • Course completion certificate
  • Project-Based Learning

What you'll learn

  • Introduction and installation of python
  • First interaction with python basics
  • Conditionals and loops
  • Detail analysis of data types
  • Functions Files and Exceptions
  • Python challenges for fun
  • Object oriented programming in python
  • Database TODO App
  • Advance side of python
  • Handling API in Python

Prerequisites

Curriculum

  • 12 modules

Introduction and Installation

Python Course Introduction

Installing Python

PyCharm Installation on Windows

Installing Python on MAC

PyCharm Installation on MAC

Optional: Using VSCode for Python

Code Formatting: Indents and Comments

User Input and Challenge

Solution to Input Challenge

Python Variables: Getting Started

Fundamentals of Numbers and Strings in Python

Introduction to Lists and Tuples in Python

Exploring Python Dictionaries

Arithmetic and Comparison Operators

Logical Operations

Membership and Identity Operations

Rating System Design in Python

Getting Started with While Loops in Python

Initial Documentation Reading

For Loop Implementation in Python

Utilizing the Break Keyword in Python Loops

Using the Continue and Pass Keywords in Python

Random Number Generation in Python

Exploring the Math Library in Python

Harnessing the Power of Strings in Python

Comprehensive Discussion on Lists in Python

Understanding Tuples and Dictionaries in Python

Working with Multiple Arguments in Python

Lambda Functions in Python

Creating Custom Modules in Python

Day Assignment in Python

Main Method and File Handling in Python

Handling Exceptions in Python

Exploring Prime Numbers and Related Challenges

Generating a Range of Prime Numbers

Calculating Factorials in Python

Accepting Matrix Input and Printing It

Python's Object-Oriented Programming Paradigm

Basics of Classes in Python

Working with Objects and Constructors in Python

Understanding Getters and Setters in Python

Inheritance: From Samsung to iPhone

Method Overriding in Python

Introduction and Setup

Understanding SQLite 3 Documentation

Building a Database Helper for SQLite 3 - Part 1

Database Helper File - Part 2

Debugging and Finalizing the Database TODO App

Exploring Iterators and Generators in Python

Map and Set Operations in Python

Utilizing All and Any Functions in Python

Working with Collections and Deques

Requesting and Handling JSON in Python

Unique User Generation Project

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Instructors

Experienced Technostragist with three decades in IT, excelling in Sales, Product Management, and Marketing across IT hardware, networking, and software. Proven strategic planner, startup pioneer, and mentor for large teams. Marketing authority in areas such as Business Incubation, Branding, and Sales. Vast industry expertise spans ITES, IT Hardware, IT Training (Software), Distribution, and Retail. Recognized for interpersonal leadership, intuitive decision-making, and a collaborative approach. Complemented by four years as a Data Scientist, enhancing analytical and problem-solving skills with a deep passion for coding and a knack for simplifying complex concepts,

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₹2500.00
  • Modules
    12 Modules
  • Duration
    20 hours
  • Category
    Data Science

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