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Python Basics For Beginners: Start Your Coding Journey
![]() Python Basics For Beginners: Start Your Coding Journey Published 1/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1.58 GB | Duration: 6h 46m Learn the fundamentals of Python: variables, data types, functions, and more, to kickstart your coding journey. What you'll learn Understand the fundamentals of Python programming, including syntax and variables. Understand how to write clean, efficient, and reusable code. Explore Python's powerful features, including data types, functions, and libraries. Develop problem-solving skills through hands-on exercises and real-world examples. Explore advanced concepts like arrays, object-oriented programming, and inheritance. Utilize Python libraries and tools such as JSON, Math, and Regular Expressions. Gain confidence to create your own Python programs from scratch. Requirements No prior programming experience is required - this course is beginner-friendly! A computer (Windows, Mac, or Linux) with internet access. A desire to learn Python programming and solve problems with code. Description Unlock the power of Python programming with this comprehensive course designed for beginners! Whether you're stepping into the world of programming for the first time or looking to solidify your understanding of Python fundamentals, this course provides a step-by-step guide to mastering the core concepts of Python.What You'll Learn:Start with an introduction to Python and its real-world applications.Understand variables, data types, and assignments to store and manipulate data effectively.Dive into Python's powerful collections: Lists, Tuples, Sets, and Dictionaries.Master control flow with If-Else statements, For loops, and While loops to make dynamic programs.Learn to write reusable code with Python functions and Lambda expressions.Explore advanced Python concepts like Arrays, Classes, Inheritance, and Polymorphism.Get hands-on with libraries like Math, JSON, and Regular Expressions, and learn to manage packages with PIP.Handle errors gracefully and interact with users through input and file handling.Why Take This Course?This course simplifies complex concepts into manageable sections, each packed with practical examples and coding exercises. By the end, you'll have the foundational skills needed to start creating Python programs confidently and move on to specialized topics like data visualization, machine learning, and beyond.Enroll now to begin your Python programming journey! Overview Section 1: Introduction to Python Lecture 1 Python Overview and Applications Lecture 2 Installing Python and Setting Up Your Environment Lecture 3 Writing Your First Python Program and Understanding Syntax Lecture 4 Adding Comments and Writing Clean Code Section 2: Python Variables and Assignments Lecture 5 Understanding Variables and Assignments Lecture 6 Assigning Multiple Values to Variables Section 3: Python Data Types Lecture 7 Overview of Python Data Types Lecture 8 Working with Numbers in Python Lecture 9 Strings: Slicing, Modifying, and Concatenating Lecture 10 String Formatting, Escape Characters, and String Methods Lecture 11 Python Booleans and Logical Values Lecture 12 Python Operators Section 4: Python Collections Lecture 13 Introduction to Python Lists Lecture 14 Working with Tuples in Python Lecture 15 Sets: Unique and Unordered Data Collections Lecture 16 Managing Dictionaries in Python Section 5: Control Flow in Python Lecture 17 If, Else, and Elif: Conditional Logic Lecture 18 While Loops in Python Lecture 19 For Loops for Iteration Section 6: Python Functions Lecture 20 Introduction to Python Functions Lecture 21 Working with Lambda Functions Section 7: Advanced Python Concepts Lecture 22 Python Arrays: Basics and Usage Lecture 23 Classes and Objects in Python Lecture 24 Understanding Inheritance in Python Lecture 25 Iterators for Managing Data Lecture 26 Python Polymorphism: Reusing Code Lecture 27 Python Scope: Local and Global Variables Section 8: Python Libraries and Utilities Lecture 28 Working with Modules in Python Lecture 29 Managing Dates and Times in Python Lecture 30 Performing Mathematical Operations with Python Math Lecture 31 Using JSON for Data Management Lecture 32 Simplifying Tasks with Regular Expressions (RegEx) Lecture 33 Managing Packages with PIP Section 9: Handling Errors and User Interaction Lecture 34 Handling Errors with Try and Except Lecture 35 Taking User Input in Python Lecture 36 String Formatting Techniques Lecture 37 File Handling in Python: Read, Write, and Delete Absolute beginners who want to start their programming journey with Python.,Students and professionals looking to build a strong foundation in coding.,Hobbyists interested in learning Python to solve real-world problems.,Anyone curious about programming and eager to explore Python's versatility. Screenshot Цитата:
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