Python Mastery: Installation To Advanced Projects

Unlock the Power of Python: Learn Installation, Basics, Advanced Techniques, and Dive into Exciting Real-World Projects

What you'll learn

Learn seamless Python installation, setup, and verification for a smooth coding experience.

Master variables, data types, and string manipulations, laying the groundwork for Python proficiency.

Develop skills in mathematical, assignment, and comparison operators for effective data manipulation.

Manipulate lists, tuples, sets, and dictionaries, acquiring versatile skills for diverse data structures.

Understand Python modules, import them, and explore functionalities using dir() and help() methods.

Gain expertise in if statements, elif conditions, loops, and conditional statements for efficient program execution.

Tackle CSV file manipulation, work with the OS module, and create engaging applications in three hands-on projects.

Requirements

No Prior Programming Experience Required

Basic Computer Skills & Access to a Computer

Internet Connection

Description

Embark on a transformative Python journey with "Python Mastery," a comprehensive course designed to elevate your programming skills to new heights. Whether you're a beginner or an intermediate learner, this course provides a seamless progression from foundational concepts to advanced project implementation.Dive into the intricacies of Python programming, starting with the essentials of installation. Demystify variables and grasp fundamental operators as you lay the groundwork for your Python expertise. Explore the creation and manipulation of powerful collections, delve into modules, and master the art of flow control, gaining a profound understanding of Python's rich tapestry.Navigate the Python Shell and learn how to work with modules effectively. Gain insights into file manipulation intricacies, honing your skills in handling CSV files and leveraging the OS module for streamlined directory operations. Immerse yourself in hands-on projects, applying your knowledge to real-world scenarios and conquering challenges with confidence.Uncover the secrets of functions and unravel the intricacies of Object-Oriented Programming (OOP). Fortify your code with pro-level error handling techniques, ensuring robust and resilient applications. Learn the art of string formatting and discover the power of this essential skill in enhancing the readability and efficiency of your code.Engage in stimulating projects throughout the course, honing your skills in practical applications. While specific project names are withheld, rest assured that you'll tackle three immersive and diverse projects, reinforcing your learning and allowing you to apply your knowledge in dynamic scenarios.This meticulously crafted learning experience goes beyond traditional tutorials, offering a dynamic and engaging approach to mastering Python. With a focus on practicality and real-world applicability, "Python Mastery" equips you with the tools and knowledge needed to navigate Python's complexities confidently.Enroll now to join the Python elite, ignite your curiosity, and unleash the full potential of Python programming. Elevate your programming prowess, tackle real-world challenges, and emerge a Python master. Don't miss out on this opportunity to shape your programming future with "Python Mastery."

Overview

Section 1: Introduction

Lecture 1 Introduction

Section 2: How To Install & Setup Python

Lecture 2 Get Python on Your Computer

Lecture 3 Set Up Python on Your System

Lecture 4 Verify Your Python Installation

Lecture 5 Using Command Line to Write Python Code

Lecture 6 Resource-Demo.py

Lecture 7 Using Python .py Files

Section 3: Types and Variables: The Building Blocks of Python Programming

Lecture 8 Understanding Variables Within Python

Lecture 9 Resource - Python Variables

Lecture 10 Working With Python Numbers

Lecture 11 Understanding String Methods Within Python

Lecture 12 Working With Python Strings

Lecture 13 Reference Material - String Methods

Lecture 14 Casting Data Types Within Python

Section 4: Python Operators: The Essential Tools for Data Manipulation

Lecture 15 Mathematical Operators In Python

Lecture 16 Python Assignment Operators

Lecture 17 Comparison Operators Within Python

Lecture 18 List Of Commonly Used Python Operators

Section 5: Working with Python Collections

Lecture 19 How to Use Lists in Python

Lecture 20 Creating Lists with the List Constructor

Lecture 21 Adding Elements to List with the Append Method

Lecture 22 Exploring Other Useful List Methods

Lecture 23 Reference Material - List Method

Lecture 24 How to Use Tuples in Python

Lecture 25 Comparing Lists and Tuples

Lecture 26 Set Data Within Python

Lecture 27 Exploring Other Useful Set Methods

Lecture 28 How to Use Dictionaries in Python

Section 6: Using Python Shell and IDLE

Lecture 29 Python Shell

Lecture 30 Python Editor IDLE

Lecture 31 Downloadable Cheat Sheet for IDLE Keyboard Shortcuts

Lecture 32 How to Use Whitespace in Python

Lecture 33 How to Write and Use Comments in Python

Section 7: Exploring Python Modules

Lecture 34 What are Python Modules and How to Use Them

Lecture 35 How to Import Modules in Python

Lecture 36 How to Use the dir() Method to List Module Attributes

Lecture 37 How to Use the help() Method to Get Module Documentation

Lecture 38 How to Assign Module Aliases in Python

Section 8: Controlling the Flow of Python Programs

Lecture 39 How to Use If Statements in Python

Lecture 40 Resource - if statement

Lecture 41 How to Use Elif Keyword for Multiple Conditions

Lecture 42 Resource - Elif Statement

Lecture 43 How to Use If… Else Statements for Alternative Actions

Lecture 44 Resource - else statement

Lecture 45 How to Use AND Operator for Compound Conditions

Lecture 46 Resource - If-And Logic

Lecture 47 OR Condition Within IF Statement

Lecture 48 Resource - If-OR Logic

Lecture 49 How to Use While Loops for Repeated Execution

Lecture 50 Resource - While Loops

Lecture 51 How to Use break Keyword to Exit a Loop

Lecture 52 Resource - BREAK Keyword

Lecture 53 How to Use continue Keyword to Skip an Iteration

Lecture 54 Resource - CONTINUE Keyword

Lecture 55 How to Use For Loops for Iterating over Sequences

Lecture 56 Resource - For Loops

Lecture 57 How to Loop through String Values in Python

Lecture 58 Resource - String Looping

Lecture 59 How to Use Range Function for Generating Numbers in For Loops

Lecture 60 Resource - Range Function

Lecture 61 How to Use For Loop Else Statement for Handling No Breaks

Lecture 62 Resource - FOR Loop ELSE Statement

Section 9: Project #1 Magic Questions Game

Lecture 63 Project 1 - Preview

Lecture 64 Project # 1 - Instruction Sheet

Lecture 65 Project 1 – Solution Step #1 – Setting Up The Magic Question Responses

Lecture 66 Project 1 – Solution Step #2 – Capturing Of User Input & Respond

Lecture 67 Project 1 – Solution Step #3 – Exiting The Application

Lecture 68 Resource - PROJECT1-MAGIC QUESTION - COMPLETE CODING

Section 10: Handling Files in Python

Lecture 69 How to Open and Close Text Files in Python

Lecture 70 Resource - revenue_data.txt

Lecture 71 Reading Text Files Using Python

Lecture 72 How to Use a Loop to Read the Entire Content of a Text File

Lecture 73 Writing To A Text File Within Python

Lecture 74 How to Create a New Text File in Python

Section 11: Project #2 - Manipulating .csv Files with Python

Lecture 75 What You Will Learn and Do in Project #2

Lecture 76 Project #2 - Instructions and Requirements

Lecture 77 Resource File - emp_details

Lecture 78 Project #2 - Solution Step #1 - Importing the .csv Module

Lecture 79 Project #2 - Solution Step #2 - Opening & Reading .csv Files

Lecture 80 Downloadable Reference - csv_Reader Codes

Lecture 81 Project #2 - Solution Step #3 - Displaying .csv File Data

Lecture 82 Project #2 - Solution Step #4 - Creating and Writing to .csv Files

Lecture 83 Resource – Completed Codes – csv_Writer

Lecture 84 Project #2 - Bonus Solution - Filtering .csv File Data

Section 12: Working with the OS Module in Python Lectures:

Lecture 85 How to Import the OS Module in Python

Lecture 86 How to Get the Current Working Directory with the OS getdir() Function

Lecture 87 How to List the Files in a Directory with the OS listdir() Function

Lecture 88 How to Change the Working Directory with the OS chdir() Function

Lecture 89 How to Create a New Directory with the OS makedirs() Function

Lecture 90 How to Check if a File Exists with the isfile() Function

Lecture 91 How to Delete a File with Python

Section 13: Working With Python Functions

Lecture 92 Creating a Function in Python

Lecture 93 Resource - Creation & Calling Function

Lecture 94 Calling a Function in Python

Lecture 95 Passing Arguments to a Python Function

Lecture 96 Resource – Passing Arguments

Lecture 97 Naming Arguments in a Python Function

Lecture 98 Resource Named Function

Lecture 99 Default Arguments in a Python Function

Lecture 100 Resource – Passing DEFAULT Argument

Lecture 101 Variable Scope of a Python Function

Lecture 102 Resource – Scope Of A Variable

Lecture 103 Return Keyword in a Python Function

Lecture 104 Resource – return keyword

Section 14: Object-Oriented Programming (OOP) in Python

Lecture 105 How to Define Classes in Python

Lecture 106 Working with Class Attributes in Python

Lecture 107 Using the init Method in Python Classes

Lecture 108 Understanding the self Parameter in Python Classes

Lecture 109 Creating and Calling Class Methods in Python

Lecture 110 Python Class – Return

Lecture 111 Implementing Private Properties in Python

Lecture 112 Defining Private Functions in Python Classes

Lecture 113 How to Delete Objects in Python

Lecture 114 Object Inheritance – Introduction

Lecture 115 Resource – user.py

Lecture 116 Python Class Inheritance

Lecture 117 Overriding Class Inheritance

Lecture 118 Resource-Inheritance-Final Codes

Section 15: How to Handle Errors in Python Like a Pro

Lecture 119 What is Error Handling and Why You Need It

Lecture 120 Try… Statement

Lecture 121 Try… Specific Error Detection

Section 16: Project #3 - WizardryInquiries Game

Lecture 122 Project #3 – Overview

Lecture 123 Resources – Project #3

Lecture 124 Project 3 – Solution Step #1 – Setting Up The Class

Lecture 125 Project 3 – Solution Step #2 – Implementing The __init__ Method

Lecture 126 Project 3 – Solution Step #3 – Implement the Game Functionality

Lecture 127 Project 3 – Solution Step #4 – Implementation Of Game Functionality Continued.

Lecture 128 Project 3 – Solution Step #5 – Write Questions to .csv File

Lecture 129 Project 3 –Solution Step #6 - Final Run

Section 17: How to Format Strings in Python

Lecture 130 What are Formatted Strings and Why Use Them

Lecture 131 Inserting String Variables into Formatted Strings with (%s)

Lecture 132 Adding Numeric Values to Formatted Strings with (%d)

Lecture 133 Using Multiple Variables in a Single Formatted String

Lecture 134 Formatting Strings with Collection Types like Lists and Dictionaries

Programming Beginners: Individuals with little to no programming experience seeking a solid introduction to Python.,Aspiring Python Developers: Those aiming to build a strong foundation in Python for potential roles in software development or data science.,Students and Self-Learners: Students and self-learners looking for a comprehensive and hands-on Python course to enhance their programming skills.,Professionals Exploring Python: Professionals from various fields interested in adding Python to their skill set for automation, data analysis, or scripting purposes.,Curious Tech Enthusiasts: Tech enthusiasts eager to explore the world of programming and harness the capabilities of Python for diverse applications.