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**AD-TEAM** · 01-29-2025, 01:53 PM

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Python Course - Beginner To Master 2025
Published 1/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 4.51 GB | Duration: 11h 3m

Master Python Programming: Learn from Scratch to Advanced Concepts, Including Real-World Projects

[b]What you'll learn[/b]

From foundations to expert, learn about every major Python topic, working with Python 3.

Learn basic syntax, variables, and data types to build a strong foundation for Python programming.

Understand control flow statements and loops to direct the flow of your programs using conditionals and iterations.

Master Object-Oriented Programming and structure your Python programs like a professional.

Explore data structures like lists, dictionaries, tuples, and sets to efficiently organize and manipulate data.

Use Pandas and NumPy for data manipulation and analysis, and visualize data using Matplotlib.

Create practical desktop applications using Tkinter with interactive elements like menus, buttons, and dialogs.

Master decorators, generators, and context managers to write elegant and efficient Python code.

Learn how to write desktop applications with Python and Tkinter.

Build practical project : Netflix Movies and TV Shows using Pandas, Numpy and Matplotlib to consolidate your learning.

[b]Requirements[/b]

No previous experience required

[b]Description[/b]

From foundational concepts to expert-level topics, this comprehensive Python course covers everything you need to become a Python programming master. Designed for both beginners and those looking to enhance their skills, this course provides hands-on learning with Python 3.Here's what you'll learn Tongue

ython Basics: Understand syntax, variables, and data types to build a strong programming foundation.Control Flow: Master conditionals, loops, and flow control to guide the logic of your programs effectively.Object-Oriented Programming: Structure your Python programs like a professional using OOP principles.Data Structures: Work with lists, dictionaries, tuples, and sets to efficiently organize and manipulate data.Data Manipulation & Visualization: Use powerful libraries like Pandas and NumPy for data analysis and Matplotlib for creating insightful visualizations.Interactive Desktop Applications: Create practical applications using Tkinter with interactive elements like menus, buttons, and dialogs.Advanced Python Concepts: Learn decorators, generators, and context managers to write elegant and efficient code.Real-World Projects: Build practical applications such as a Database Management System and a project analyzing Netflix Movies and TV Shows using Pandas, NumPy, and Matplotlib.This course combines theoretical knowledge with hands-on projects to ensure you gain real-world programming skills. Whether you're aiming for a career in development, data analysis, or software engineering, this course will set you on the path to success.

Overview

Section 1: Introduction to Python Programming

Lecture 1 Introduction to Python

Section 2: Variables & Data Types

Lecture 2 All Variables and Data Types

Section 3: Conditional Statements & Loops

Lecture 3 Conditional Statements & Loops

Section 4: Control Statements

Lecture 4 Control Statements

Section 5: Python Functions

Lecture 5 Python Functions

Section 6: Modules & Packages

Lecture 6 Python Modules & Packages

Section 7: Classes & Object

Lecture 7 Classes , Object & OPPS

Lecture 8 OPPS

Section 8: Files & Directories

Lecture 9 Using Files & Directories

Section 9: Numpy, Pandas & Matplotlib

Lecture 10 Pandas & Numpy

Lecture 11 Matplotlib

Section 10: Introduction to SQLITE Database

Lecture 12 SQLITE Database

Lecture 13 SQLite Project

Section 11: GUI Programming with Tkinter

Lecture 14 Tkinter

Section 12: Project : Netflix Movies and TV Shows using Pandas, Numpy and Matplotlib

Lecture 15 Project

Beginners who have never programmed before.,Aspiring programmers, coding enthusiasts, and professionals seeking to strengthen their Python skills,Programmers who know some Python but want to round off their skills and become truly proficient.,Beginners eager to grasp the fundamentals or an experienced developer aiming to advance your proficiency in Python

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