MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.46 GB | Duration: 4h 24m
Learn Python like a Professional. Start from the basics and go all the way to creating your own applications!
What you'll learn
Have a fundamental understanding of the Python programming language.
Learn how to create your own Python programs.
Master Lists, Tuples, Sets, Dictionaries
Create Professional GUI Desktop Applications
Understand Error Handling, and File Handing in Python.
Interact with the web using HTTP Requests.
No programming knowledge is required.
No need to Install python, you could use Online Python Compilers.
Windows / Linux / MacOS operating system.
In this Python Class, we'll be learning all the Fundamentals in Python.Python Is beginner friendly, so buckle up for a 100% hands-on learning journey!What you'll learn:Have a fundamental understanding of the Python programming language.Learn how to create your own Python programs.Understand Error Handling, and File Handing in Python.Interact with the web using HTTP Requests.and much more!Why would you take this class?Do you wanna add Python to your resume, and make use of it?Do you want to Strengthen your Skills as a Developer by without spending too much time?Have you ever been confused by the Python topic and wanted a detailed step-by-step learning guide?Content & OverviewWith high-quality video lectures, you will learn and work with these concepts:Installing PythonStringsFunctionsLoopsReceiving InputError HandlingFile HandlingDate & TimeInteracting with HTTPGraphical User InterfacesSQLite DatabasesWeb scraping.... and more!RequirementsNo programming knowledge is required.No need to Install python, you could use Online Python Compilers.Windows / Linux / MacOS operating system.This Python course is designed for beginners who want to learn the basics of programming in Python 3. The course covers the following topics:Installing Python and setting up the development environmentProgramming basics in Python 3, including variables, data types, control structures, and loops Creating and using functions in Python 3 4 - Working with lists, tuples, sets, and dictionaries in Python 3 Error handling techniques in Python 3 Reading and writing files in Python 3 Object-oriented programming in Python 3, including classes and objects Date and time manipulation in Python 3 Using regular expressions in Python 3 Interacting with HTTP using Python 3 Using Python 3 and SQLite to work with databases Creating graphical user interfaces (GUIs) using Python 3 and Tkinter Web scraping using Python 3The course is designed to provide hands-on experience, with plenty of examples and exercises to help learners solidify their understanding of the material. By the end of the course, students will have a solid foundation in Python 3 programming and will be able to use it to create their own projects.
Section 1: Installing Python
Lecture 1 Installing Python on Windows
Section 2: Programming Basics In Python 3
Lecture 2 Math Operators
Lecture 3 Strings
Lecture 4 10 Useful String Functions
Lecture 5 Your First Program
Lecture 6 If Else Statements
Lecture 7 Receiving Input
Lecture 8 While Loops
Lecture 9 For Loops
Lecture 10 Break & Continue Loop
Lecture 11 Guessing game using random
Section 3: Functions
Lecture 12 Functions in Python 3
Lecture 13 Local vs Global Variables
Section 4: Lists, Tuples, Sets, Dictionaries
Lecture 14 Lists in Python 3
Lecture 15 List Methods
Lecture 16 2D Lists & Nested Loops
Lecture 17 Tuples
Lecture 18 Sets & Mathematical Operations
Lecture 19 Dictionaries
Section 5: Error Handling
Lecture 20 Exceptions in Python 3
Section 6: Files in Python 3
Lecture 21 Create, Read & Write Files
Lecture 22 Advanced File Handling
Section 7: Object Oriented Programming
Lecture 23 Classes and Objects
Lecture 24 Inheritance
Lecture 25 Static Methods, Class Methods, Class Attributes
Lecture 26 Importing Classes
Lecture 27 Exercises
Section 8: Date & Time
Lecture 28 Datetime Module
Section 9: Regular Expressions
Lecture 29 Regex Introduction
Lecture 30 Methods to Search for Matches
Lecture 31 Methods for Match Objects
Lecture 32 Extracting Useful Data
Lecture 33 Sorting Unordered Data File
Section 10: Interacting with HTTP
Lecture 34 Performing HTTP GET Request
Section 11: Python SQLite
Lecture 35 Introduction
Section 12: Python Tkinter GUI
Lecture 36 Introduction
Lecture 37 Positioning Using Grid Method
Lecture 38 Create a Button
Lecture 39 Create an Input Box
Section 13: Web Scraping with Python
Lecture 40 Beautiful Soup Introduction
Lecture 41 Python Web scraping to CSV file
This course is well suited for Beginners who never Programmed.,Programmers coming from Different Languages.,Intermediate Python Programmers looking to improve their skills!
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