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    40 Days To Python Success: Master Python Programming

    Posted By: ELK1nG
    40 Days To Python Success: Master Python Programming

    40 Days To Python Success: Master Python Programming
    Published 2/2025
    MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
    Language: English | Size: 139.26 MB | Duration: 0h 41m

    Transform Your Coding Skills in Just 40 Days and Master Python Programming from Basics to Advanced!

    What you'll learn

    Master the basics of Python programming, including variables, constants, input/output, and data types.

    Understand operators, conditional statements, and loops to control the flow of programs.

    Work with Python's data structures, such as lists, tuples, dictionaries, sets, and comprehensions.

    Learn how to write and use functions, including lambda functions, and grasp the concept of function arguments.

    Explore Object-Oriented Programming (OOP) concepts, including classes, objects, inheritance, encapsulation, and polymorphism.

    Gain hands-on experience with file handling, exception handling, and working with JSON and CSV files.

    Requirements

    No prior programming experience is required — this course is suitable for beginners.

    Description

    Welcome to the Python Programming 40-Day ChallengeUnlock the full potential of Python with this comprehensive 40-day course, designed for beginners and intermediate learners alike. Whether you're new to programming or looking to enhance your skills, this course takes you from foundational Python concepts to building advanced applications, with practical examples and hands-on projects every step of the way.What Will You Learn in This Course?Python Basics and Core Concepts:Master the fundamentals of Python, including variables, constants, input/output operations, and essential data types like strings, numbers, lists, tuples, dictionaries, and sets.Control Flow and Logic:Learn to write powerful programs using conditional statements, loops, and operators to solve real-world problems.Advanced Python Topics:Dive into Object-Oriented Programming (OOP) concepts such as classes, inheritance, encapsulation, polymorphism, and access specifiers.File Handling and Data Processing:Work with file systems, read and write data, handle exceptions, and learn how to manipulate data in JSON, CSV, and other formats.APIs, Web Scraping, and Data Analysis:Learn how to interact with APIs, scrape data from websites using BeautifulSoup, and clean and analyze data using Pandas.Why Python is Important:Easy to Learn and UseVersatile and PowerfulHuge Community SupportCross-Platform CompatibilityExtensive Libraries and FrameworksPopular in Data Science and AIHigh Demand in the Job MarketSuitable for Prototyping and Rapid DevelopmentIntegration with Other Languages and TechnologiesGreat for Automation and ScriptingStrong for Web DevelopmentSuitable for Scientific ComputingGrowing EcosystemSupport for Multiple Programming Paradigms

    Overview

    Section 1: Day 01 : Python Basics Concepts

    Lecture 1 01 Day Outlines

    Lecture 2 02 Introduction to Python Programming

    Lecture 3 03 Python Downloading and Installation

    Lecture 4 04 IDE

    Lecture 5 05 Python Hello Word Program

    Lecture 6 06 Program and Statements

    Lecture 7 07 Python Statements and Program Examples

    Lecture 8 08 Python Comments

    Lecture 9 09 Python Terminator

    Lecture 10 10 Python Indentation

    Lecture 11 11 Python Reserved Words

    Lecture 12 12 Python Exercise

    Section 2: Day 02: Python Variable Constant

    Lecture 13 01 Day 02 Outlines

    Lecture 14 02 Python Variables

    Lecture 15 03 Rules to Declare Variable

    Lecture 16 04 Python Constant

    Lecture 17 05 Python Exercise

    Aspiring programmers who want to learn Python from scratch.,Developers looking to expand their skills by mastering Python.,Students pursuing a career in data science, artificial intelligence, or machine learning.,Professionals interested in automating tasks, web scraping, or data manipulation with Python.,Anyone eager to learn how to build projects, work with APIs, and analyze data with Python.