Python Mastery 2023- Comprehensive Guide to Modern Code

Python Mastery 2023: Comprehensive Guide to Modern Code, available at $19.99, has an average rating of 3.95, with 189 lectures, based on 153 reviews, and has 20630 subscribers.

You will learn about Basics Of Python Concept Of Object Oriented Programming In Python Understand How Python Programming Works Sound knowledge about OOPS concepts in python Deep knowledge on Working With Python Understanding Syntax, Variables, Keywords and how to use them in python Knowledge about conditional and looping statements Knowledge on built in functions like map, reduce etc. Basic operations using Opencv Basics of Numpy Connecting to database using python Able to perform web scrapping using requests module in python Deep Knowledge on how a python program works Understanding Python Modules and how to use it This course is ideal for individuals who are Python beginners or Interested in learning python or Interested In learning programming or Willing To Learn Python or IT professionals looking for certifications It is particularly useful for Python beginners or Interested in learning python or Interested In learning programming or Willing To Learn Python or IT professionals looking for certifications.

Enroll now: Python Mastery 2023: Comprehensive Guide to Modern Code

Summary

Title: Python Mastery 2023: Comprehensive Guide to Modern Code

Price: $19.99

Average Rating: 3.95

Number of Lectures: 189

Number of Published Lectures: 189

Number of Curriculum Items: 189

Number of Published Curriculum Objects: 189

Original Price: $27.99

Quality Status: approved

Status: Live

What You Will Learn

Basics Of Python

Concept Of Object Oriented Programming In Python

Understand How Python Programming Works

Sound knowledge about OOPS concepts in python

Deep knowledge on Working With Python

Understanding Syntax, Variables, Keywords and how to use them in python

Knowledge about conditional and looping statements

Knowledge on built in functions like map, reduce etc.

Basic operations using Opencv

Basics of Numpy

Connecting to database using python

Able to perform web scrapping using requests module in python

Deep Knowledge on how a python program works

Understanding Python Modules and how to use it

Who Should Attend

Python beginners

Interested in learning python

Interested In learning programming

Willing To Learn Python

IT professionals looking for certifications

Target Audiences

Python beginners

Interested in learning python

Interested In learning programming

Willing To Learn Python

IT professionals looking for certifications

Introducing “Python Proficiency: Empowering Code Artisans”, a meticulously structured course designed to endow you with an in-depth understanding of Python and its multifarious applications. This immersive course is your passport to acquire advanced proficiency in Python, commencing with the rudimentary concepts and escalating to the implementation of knowledge into real-world projects.

Core Modules:

1. Initial Setup: Kick-start your journey by setting up the essential Python environment.

2. Executing Python Programs:Master the art of writing and executing Python scripts.

3. Python Fundamentals:Unravel the quintessential Python programming concepts.

4. Data Types & Collections: Decode the intricacies of data types and collection data structures.

5. Operators: Harness the power of Python operators for potent operations.

6. Conditional & Looping Statements:Control flow like a pro with conditionals and loops.

7. Functions:Architect reusable code blocks with Python functions.

8. Core & Advanced Modules:Deep dive into built-in and advanced Python modules.

9. Classes & Objects:Unveil the object-oriented programming paradigm with Python.

10. File Operations:Manage files adeptly including JSON, Pickles, and Zipped content.

11. Database Interaction: Integrate Python with databases for data manipulation.

12. Graphical User Interface (GUI): Develop enticing GUI applications.

13. Web Scraping: Extract valuable data from web pages with Python.

Project Implementation:

Upon mastering the above-mentioned concepts, you will be geared up to put your knowledge into practice by undertaking stimulating projects. Engage in building:

1. Calculator: Create an intuitive and user-friendly calculator.

2. Alarm Clock/Reminder: Design an application to set alarms and reminders.

3. Secured Password Protection:Develop a robust system for password protection and security.

Why Choose This Course?

Expert Guidance: Receive invaluable insights and guidance from experienced instructors.

Practical Implementation:Cultivate hands-on experience through project-based learning.

Comprehensive Curriculum: A vast curriculum that ensures a profound understanding of Python.

Embark on this empowering journey to carve your niche in Python programming. Whether you are a novice or an experienced programmer looking to refine your skills, “Python Proficiency: Empowering Code Artisans” is your ultimate destination.

Enroll now and foster an unassailable Python skill set!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Whole Course Overview

Lecture 3: How To Use The Files Attached

Chapter 2: Installing Python And Other Necessary Tools

Lecture 1: Section Goals

Lecture 2: Installing Python

Lecture 3: How To Use Pip?

Lecture 4: Installing Anaconda Prompt

Lecture 5: Installing Jupyter Notebook

Lecture 6: Installing Sublime Text

Chapter 3: Ways To Run A Python Program

Lecture 1: Section Goals

Lecture 2: Executing Via Command Prompt

Lecture 3: Commonly Used IDEs

Lecture 4: Executing Via Jupyter Notebook

Lecture 5: Executing Via Online Compiler

Chapter 4: Simple Python Programming Concepts

Lecture 1: Section Goals

Lecture 2: Syntax

Lecture 3: Variables

Lecture 4: Comments

Lecture 5: Keywords

Lecture 6: Input

Lecture 7: Keywords Pdf

Chapter 5: Data Types

Lecture 1: Section Goals

Lecture 2: Numeric Data Type

Lecture 3: Type Conversion

Lecture 4: String Data Type

Lecture 5: Casting

Lecture 6: Boolean Data Type

Lecture 7: Boolean Function

Chapter 6: String Handling

Lecture 1: String Operations

Lecture 2: Using Replace, Split in String

Lecture 3: String formatting

Lecture 4: String Operations – Document

Lecture 5: Escape Sequences – Document

Chapter 7: Collection Data Types

Lecture 1: Section Goals

Lecture 2: Range

Lecture 3: List

Lecture 4: List Indexing

Lecture 5: Copy, Remove, Clear and Delete A List

Lecture 6: Arrays

Lecture 7: Tuples

Lecture 8: Difference Between Tuple and a List

Lecture 9: Tuple Operations

Lecture 10: Sets

Lecture 11: Add And Remove Elements From A Set

Lecture 12: Joining Two Sets With One Another

Lecture 13: Dictionary

Lecture 14: Accessing Items From A Dictionary

Lecture 15: Add And Delete On Dictionary

Lecture 16: Nested Dictionary

Lecture 17: Pdf

Chapter 8: Operators In Python

Lecture 1: Section Goals

Lecture 2: Arithmetic Operators

Lecture 3: Relational Operators

Lecture 4: Logical Operators

Lecture 5: Assignment Operators – 1

Lecture 6: Assignment Operators – 2

Lecture 7: Bitwise Operators

Lecture 8: Bitwise Assignment Operators

Lecture 9: Special Operators

Lecture 10: Any and All

Lecture 11: Precedence And Associativity

Lecture 12: Difference Between Is Operator and Equal to Operator

Lecture 13: Pdf

Chapter 9: Conditional And Looping Statements

Lecture 1: Section Goals

Lecture 2: If and If Else Statement

Lecture 3: Elif and Nested If Statements

Lecture 4: Logical Operators In If Statement

Lecture 5: Short Hand If Statements

Lecture 6: Looping Statements

Lecture 7: While Loop

Lecture 8: For Loop

Lecture 9: For Loop Using Range

Lecture 10: Nested For Loop

Chapter 10: Functions Using Python

Lecture 1: Section Goals

Lecture 2: Functions

Lecture 3: Functions That Return Value

Lecture 4: Arbitrary, Keyword, Arbitrary Keyword Arguments

Lecture 5: Default Parameter Value and Pass Keyword

Lecture 6: Lambda Functions

Chapter 11: Project 1 – Calculator

Lecture 1: Calculator Presentation

Lecture 2: Calculator Implementation

Chapter 12: Built In Modules

Lecture 1: Section Goals

Lecture 2: OS Module

Lecture 3: Sys Module

Lecture 4: Random Module

Lecture 5: Statistics Module

Lecture 6: Operator Module – 1

Lecture 7: Operator Module – 2

Instructors

Sundar Balamurugan
Expert Computer Vision Engineer | Python Specialist

Rating Distribution

1 stars: 7 votes

2 stars: 5 votes

3 stars: 30 votes

4 stars: 53 votes

5 stars: 58 votes

Frequently Asked Questions

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