Python Mastery Installation To Advanced Projects

Free Download Python Mastery Installation To Advanced Projects
Published 2/2024
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.59 GB | Duration: 7h 53m
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.

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