Python Mastery: 100 Days, 100 Projects [2/2025, ENG]

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Python Mastery: 100 Days, 100 Projects [2/2025, ENG] (Size: 10.32 GB)

		01. Week 1 Python Basics
		1. A Quick Crash Course Learn Python from Scratch.mp4	57.93 MB
		1. A Quick Crash Course Learn Python from Scratch.vtt	50.04 KB
		2. Day 1 Welcome Message Generator Print Statements & Hello World.mp4	18.19 MB
		2. Day 1 Welcome Message Generator Print Statements & Hello World.vtt	15.25 KB
		2. day1.py	855 B
		3. Day 2 Personalized Greeting Program Variables & Data Types.mp4	76.62 MB
		3. Day 2 Personalized Greeting Program Variables & Data Types.vtt	15.66 KB
		3. day2.py	1.06 KB
		4. Day 3 Simple Calculator User Input & String Formatting.mp4	81.89 MB
		4. Day 3 Simple Calculator User Input & String Formatting.vtt	14.65 KB
		4. day3.py	1.37 KB
		5. Day 4 Number Comparison Tool If-Else Statements.mp4	74.7 MB
		5. Day 4 Number Comparison Tool If-Else Statements.vtt	14.43 KB
		5. day4.py	1.07 KB
		6. Day 5 Countdown Timer Loops (For & While).mp4	54.98 MB
		6. Day 5 Countdown Timer Loops (For & While).vtt	14.78 KB
		6. day5.py	800 B
		7. Day 6 Basic Math Quiz Game Functions.mp4	99.54 MB
		7. Day 6 Basic Math Quiz Game Functions.vtt	19.82 KB
		7. day6.py	1.83 KB
		8. Day 7 Shopping List App Lists.mp4	110.39 MB
		8. Day 7 Shopping List App Lists.vtt	22.92 KB
		8. day7.py	1.98 KB
		02. Week 2 Intermediate Python
		1. Day 8 Contact Book Dictionaries.mp4	131.08 MB
		1. Day 8 Contact Book Dictionaries.vtt	25.5 KB
		1. day8.py	3.11 KB
		2. Day 9 Ingredient Checker Tuples & Sets.mp4	82.25 MB
		2. Day 9 Ingredient Checker Tuples & Sets.vtt	18.88 KB
		2. day9.py	1.52 KB
		3. Day 10 Note-Taking App File Handling.mp4	102.49 MB
		3. Day 10 Note-Taking App File Handling.vtt	21.82 KB
		3. day10.py	1.79 KB
		4. Day 11 Safe Calculator Exception Handling.mp4	94.81 MB
		4. Day 11 Safe Calculator Exception Handling.vtt	19.68 KB
		4. day11.py	2.55 KB
		5. Day 12 Temperature Converter Functions with Return Values.mp4	92.21 MB
		5. Day 12 Temperature Converter Functions with Return Values.vtt	17.14 KB
		5. day12.py	2.17 KB
		6. Day 13 Student Grade Manager List Comprehensions.mp4	76.88 MB
		6. Day 13 Student Grade Manager List Comprehensions.vtt	15.8 KB
		6. day13.py	1.52 KB
		7. Day 14 Random Password Generator Modules & Libraries.mp4	92.78 MB
		7. Day 14 Random Password Generator Modules & Libraries.vtt	19.44 KB
		7. day14.py	1.72 KB
		03. Week 3 Working with Data
		1. Day 15 Recipe Viewer App Reading Files.mp4	101.29 MB
		1. Day 15 Recipe Viewer App Reading Files.vtt	17.85 KB
		1. day15.py	2.17 KB
		2. Day 16 Daily Journal Logger Writing Files.mp4	97.07 MB
		2. Day 16 Daily Journal Logger Writing Files.vtt	17.49 KB
		2. day16.py	2.28 KB
		3. Day 17 Student Report Generator CSV Files.mp4	95.16 MB
		3. Day 17 Student Report Generator CSV Files.vtt	17.76 KB
		3. day17.py	2.28 KB
		4. Day 18 Mini To-Do App JSON Files.mp4	116.83 MB
		4. Day 18 Mini To-Do App JSON Files.vtt	19.92 KB
		4. day18.py	3.19 KB
		5. Day 19 Weather App using API APIs (Basics).mp4	116.59 MB
		5. Day 19 Weather App using API APIs (Basics).vtt	21.65 KB
		5. day19.py	1.86 KB
		6. Day 20 Event Countdown Timer Dates & Time.mp4	97.27 MB
		6. Day 20 Event Countdown Timer Dates & Time.vtt	16.49 KB
		6. day20.py	2.01 KB
		7. Day 21 Wikipedia Article Scraper Web Scraping.mp4	139.88 MB
		7. Day 21 Wikipedia Article Scraper Web Scraping.vtt	26.09 KB
		7. day21.py	2.79 KB
		04. Week 4 Object-Oriented Programming
		1. Day 22 Bank Account Simulator Classes & Objects.mp4	132.53 MB
		1. Day 22 Bank Account Simulator Classes & Objects.vtt	26.5 KB
		1. day22.py	3.34 KB
		2. Day 23 Library Management System Constructors & Methods.mp4	109.49 MB
		2. Day 23 Library Management System Constructors & Methods.vtt	21.3 KB
		2. day23.py	3.61 KB
		3. Day 24 Employee Management System Inheritance.mp4	143.83 MB
		3. Day 24 Employee Management System Inheritance.vtt	27.9 KB
		3. day24.py	3.75 KB
		4. Day 25 Animal Sound Simulator Polymorphism.mp4	86.33 MB
		4. Day 25 Animal Sound Simulator Polymorphism.vtt	17.72 KB
		4. day25.py	2.65 KB
		5. Day 26 Secure User Profile App Encapsulation.mp4	118.34 MB
		5. Day 26 Secure User Profile App Encapsulation.vtt	22.79 KB
		5. day26.py	3.89 KB
		6. Day 27 Inventory Management System Static & Class Methods.mp4	108.66 MB
		6. Day 27 Inventory Management System Static & Class Methods.vtt	22.17 KB
		6. day27.py	3.48 KB
		7. Day 28 Mini ATM Machine Final OOP Project.mp4	120.18 MB
		7. Day 28 Mini ATM Machine Final OOP Project.vtt	20.9 KB
		7. day28.py	4.71 KB
		05. Week 5 GUI Programming
		1. Day 29 Simple GUI App Tkinter Basics.mp4	116.33 MB
		1. Day 29 Simple GUI App Tkinter Basics.vtt	26.16 KB
		1. day29.py	1.23 KB
		2. Day 30 Click Counter App Buttons & Events.mp4	124.79 MB
		2. Day 30 Click Counter App Buttons & Events.vtt	29 KB
		2. day30.py	1.15 KB
		3. Day 31 BMI Calculator Input Fields.mp4	129.99 MB
		3. Day 31 BMI Calculator Input Fields.vtt	27.2 KB
		3. day31.py	2.01 KB
		4. Day 32 Drawing Pad App Canvas Widgets.mp4	134.24 MB
		4. Day 32 Drawing Pad App Canvas Widgets.vtt	29.8 KB
		4. day32.py	1.79 KB
		5. Day 33 Simple Login System Message Boxes.mp4	115.08 MB
		5. Day 33 Simple Login System Message Boxes.vtt	24.32 KB
		5. day33.py	1.69 KB
		6. Day 34 To-Do List GUI Advanced Widgets.mp4	118.46 MB
		6. Day 34 To-Do List GUI Advanced Widgets.vtt	25.74 KB
		6. day34.py	1.93 KB
		7. Day 35 Expense Tracker App GUI Capstone.mp4	154.74 MB
		7. Day 35 Expense Tracker App GUI Capstone.vtt	28.12 KB
		7. day35.py	5.34 KB
		06. Week 6 Web Development with Python
		1. Day 36 Hello Flask App Flask Basics.mp4	95.58 MB
		1. Day 36 Hello Flask App Flask Basics.vtt	26.16 KB
		1. Day36.zip	2.58 KB
		2. Day 37 Personal Blog Website Routes & Templates.mp4	147.5 MB
		2. Day 37 Personal Blog Website Routes & Templates.vtt	36.9 KB
		2. Day37.zip	11.97 KB
		3. Day 38 Contact Form App Forms & User Input.mp4	79.75 MB
		3. Day 38 Contact Form App Forms & User Input.vtt	18.02 KB
		3. Day38.zip	6.48 KB
		4. Day 39 User Registration App Database Integration.mp4	127.69 MB
		4. Day 39 User Registration App Database Integration.vtt	24.25 KB
		4. Day39.zip	6.19 KB
		5. Day 40 Mini Weather API REST APIs.mp4	125.04 MB
		5. Day 40 Mini Weather API REST APIs.vtt	21.31 KB
		5. app.py	1.4 KB
		6. Day 41 Deploy Flask App Deployment.mp4	122.1 MB
		6. Day 41 Deploy Flask App Deployment.vtt	23.89 KB
		6. flask_app.zip	4.7 KB
		7. Day 42 Portfolio Website Flask Capstone.mp4	101.14 MB
		7. Day 42 Portfolio Website Flask Capstone.vtt	20.53 KB
		7. portfolio_app.zip	3.6 MB
		07. Week 7 Data Science Basics
		1. Day 43 Matrix Calculator NumPy.mp4	113.8 MB
		1. Day 43 Matrix Calculator NumPy.vtt	23.13 KB
		1. day43.py	2.03 KB
		2. Day 44 Data Cleaner Pandas.mp4	93.66 MB
		2. Day 44 Data Cleaner Pandas.vtt	21.69 KB
		2. Day44.zip	2.02 KB
		3. Day 45 Graph Plotter Matplotlib.mp4	118.36 MB
		3. Day 45 Graph Plotter Matplotlib.vtt	23.02 KB
		3. Day45.zip	25.13 KB
		4. Day 46 Sales Report Analyzer Data Analysis.mp4	167.77 MB
		4. Day 46 Sales Report Analyzer Data Analysis.vtt	28.75 KB
		4. Day46.zip	2.43 KB
		5. Day 47 Temperature Plotter Plotting Trends.mp4	133.4 MB
		5. Day 47 Temperature Plotter Plotting Trends.vtt	22.7 KB
		5. Day47.zip	94.21 KB
		6. Day 48 Stock Price Tracker Data Scraping.mp4	121.75 MB
		6. Day 48 Stock Price Tracker Data Scraping.vtt	22.21 KB
		6. Day48.py	1.29 KB
		7. Day 49 COVID-19 Dashboard Capstone Project.mp4	145.55 MB
		7. Day 49 COVID-19 Dashboard Capstone Project.vtt	25.23 KB
		7. Day49.py	2.24 KB
		08. Days 50–60 Intermediate Projects
		1. Day 50 Weather Dashboard App.mp4	200.6 MB
		1. Day 50 Weather Dashboard App.vtt	35.83 KB
		1. Day50.zip	4.81 KB
		10. Day 59 Markdown to HTML Converter.mp4	123.51 MB
		10. Day 59 Markdown to HTML Converter.vtt	21.83 KB
		10. day59.py	1.94 KB
		10. markdown.md	475 B
		11. Day 60 Personal Diary App.mp4	147.93 MB
		11. Day 60 Personal Diary App.vtt	24.67 KB
		11. day60.py	2.89 KB
		2. Day 51 Expense Tracker.mp4	139.97 MB
		2. Day 51 Expense Tracker.vtt	22.67 KB
		2. day51.py	2.47 KB
		3. Day 52 File Organizer Tool.mp4	114.64 MB
		3. Day 52 File Organizer Tool.vtt	21.92 KB
		3. day52.py	1.37 KB
		4. Day 53 Tic-Tac-Toe Game.mp4	187.3 MB
		4. Day 53 Tic-Tac-Toe Game.vtt	28.81 KB
		4. day53.py	2.52 KB
		5. Day 54 Mini Chatbot.mp4	67.6 MB
		5. Day 54 Mini Chatbot.vtt	14.49 KB
		5. day54.py	865 B
		6. Day 55 Music Playlist Organizer.mp4	155.59 MB
		6. Day 55 Music Playlist Organizer.vtt	26.31 KB
		6. day55.py	2.3 KB
		7. Day 56 Personal Budget Planner.mp4	105.81 MB
		7. Day 56 Personal Budget Planner.vtt	18.17 KB
		7. day56.py	2.79 KB
		8. Day 57 ASCII Art Generator.mp4	104.18 MB
		8. Day 57 ASCII Art Generator.vtt	17.81 KB
		8. day57.py	1.58 KB
		9. Day 58 Pomodoro Timer.mp4	164.65 MB
		9. Day 58 Pomodoro Timer.vtt	26.26 KB
		9. day58.py	1.57 KB
		09. Days 61–70 Advanced Intermediate Projects
		1. Day 61 Social Media Scraper.mp4	94.59 MB
		1. Day 61 Social Media Scraper.vtt	16.73 KB
		1. day61.py	1.48 KB
		1. social_media.html	526 B
		10. Day 70 Data Visualizer App.mp4	150.41 MB
		10. Day 70 Data Visualizer App.vtt	22.7 KB
		10. day70.py	2.62 KB
		2. Day 62 Automated Backup Tool.mp4	100.02 MB
		2. Day 62 Automated Backup Tool.vtt	18.34 KB
		2. day62.py	1.66 KB
		3. Day 63 Movie Recommendation System.mp4	114.94 MB
		3. Day 63 Movie Recommendation System.vtt	20.34 KB
		3. day63.py	1.94 KB
		3. movie_ratings.csv	1.52 KB
		4. Day 64 PDF Merger Tool.mp4	72.66 MB
		4. Day 64 PDF Merger Tool.vtt	13.34 KB
		4. day64.py	1.05 KB
		5. Day 65 Portfolio Website Backend.mp4	142.44 MB
		5. Day 65 Portfolio Website Backend.vtt	26.81 KB
		5. portfolio_website.zip	7.81 KB
		6. Day 66 Flashcards Learning App.mp4	69.44 MB
		6. Day 66 Flashcards Learning App.vtt	13.49 KB
		6. day66.py	2.26 KB
		6. flashcards.json	318 B
		7. Day 67 Stock Market Dashboard.mp4	116.13 MB
		7. Day 67 Stock Market Dashboard.vtt	19.86 KB
		7. day67.py	1.38 KB
		7. stock_data.csv	137 B
		8. Day 68 Task Scheduler.mp4	121.96 MB
		8. Day 68 Task Scheduler.vtt	20.02 KB
		8. day68.py	2.32 KB
		8. tasks.json	221 B
		9. Day 69 Currency Converter.mp4	83.73 MB
		9. Day 69 Currency Converter.vtt	15.09 KB
		9. day69.py	2.16 KB
		9. exchange_rates.json	87 B
		10. Days 71–80 AI & Machine Learning Projects
		1. Day 71 Spam Email Detector.mp4	202.26 MB
		1. Day 71 Spam Email Detector.vtt	28.65 KB
		1. Day71.zip	209.56 KB
		10. Day 80 Fake News Detector.mp4	104.57 MB
		10. Day 80 Fake News Detector.vtt	17.82 KB
		10. Day80.zip	1.5 KB
		2. Day 72 Text Sentiment Analyzer.mp4	84.19 MB
		2. Day 72 Text Sentiment Analyzer.vtt	14.63 KB
		2. Day72.zip	1.13 KB
		3. Day 73 Handwriting Digit Recognition.mp4	209.37 MB
		3. Day 73 Handwriting Digit Recognition.vtt	30.15 KB
		3. Day73.zip	1.35 KB
		4. Day 74 Voice Assistant.mp4	129.41 MB
		4. Day 74 Voice Assistant.vtt	20.05 KB
		4. Day74.zip	1.37 KB
		5. Day 75 Face Detection App.mp4	133.02 MB
		5. Day 75 Face Detection App.vtt	22.84 KB
		5. Day75.zip	107.67 KB
		6. Day 76 Simple Recommendation System.mp4	114.05 MB
		6. Day 76 Simple Recommendation System.vtt	18.77 KB
		6. Day76.zip	1.79 KB
		7. Day 77 AI Chatbot with NLP.mp4	97.76 MB
		7. Day 77 AI Chatbot with NLP.vtt	16.6 KB
		7. Day77.zip	1.7 KB
		8. Day 78 Object Detection App.mp4	83.69 MB
		8. Day 78 Object Detection App.vtt	13.75 KB
		8. Day78.zip	30.56 MB
		9. Day 79 Language Translator Tool.mp4	72.24 MB
		9. Day 79 Language Translator Tool.vtt	15.27 KB
		9. Day79.zip	1.29 KB
		11. Machine Learning Algorithms and Implementation in Python
		1. Introduction to Machine Learning Algorithms and Implementation in Python.mp4	13.8 MB
		1. Introduction to Machine Learning Algorithms and Implementation in Python.vtt	4.23 KB
		10. 9. Supervised Learning Algorithms Gradient Boosting Implementation.mp4	41.68 MB
		10. 9. Supervised Learning Algorithms Gradient Boosting Implementation.vtt	7.43 KB
		11. 10. Supervised Learning Algorithms Naive Bayes Implementation.mp4	36.67 MB
		11. 10. Supervised Learning Algorithms Naive Bayes Implementation.vtt	7.03 KB
		12. 11. Unsupervised Learning Algorithms K-Means Clustering Implementation.mp4	22.79 MB
		12. 11. Unsupervised Learning Algorithms K-Means Clustering Implementation.vtt	4.69 KB
		13. 12. Unsupervised Learning Algorithms Hierarchical Clustering Implementation.mp4	30.21 MB
		13. 12. Unsupervised Learning Algorithms Hierarchical Clustering Implementation.vtt	6.23 KB
		14. 13. Unsupervised Learning Algorithms DBSCAN.mp4	25.99 MB
		14. 13. Unsupervised Learning Algorithms DBSCAN.vtt	5.67 KB
		15. 14. Unsupervised Learning Algorithms Gaussian Mixture Models(GMM).mp4	28.04 MB
		15. 14. Unsupervised Learning Algorithms Gaussian Mixture Models(GMM).vtt	5.73 KB
		16. 15. Unsupervised Learning Algorithms Principal Component Analysis (PCA).mp4	28.21 MB
		16. 15. Unsupervised Learning Algorithms Principal Component Analysis (PCA).vtt	4.99 KB
		17. 16. Unsupervised Learning Algo t-Distributed Stochastic Neighbor Embedding.mp4	32.42 MB
		17. 16. Unsupervised Learning Algo t-Distributed Stochastic Neighbor Embedding.vtt	5.84 KB
		18. 17.Unsupervised Learning Algorithms Autoencoders Implementation.mp4	57.78 MB
		18. 17.Unsupervised Learning Algorithms Autoencoders Implementation.vtt	9.28 KB
		19. 18. Self-Training Implementation.mp4	51.96 MB
		19. 18. Self-Training Implementation.vtt	7.47 KB
		2. 1. Supervised Learning Algorithms Linear Regression Implementation.mp4	38.27 MB
		2. 1. Supervised Learning Algorithms Linear Regression Implementation.vtt	7.09 KB
		20. 19. Q-Learning Implementation.mp4	64.4 MB
		20. 19. Q-Learning Implementation.vtt	10.05 KB
		21. 20. Deep Q-Networks (DQN) Implementation.mp4	111.03 MB
		21. 20. Deep Q-Networks (DQN) Implementation.vtt	16.67 KB
		22. 21. Policy Gradient Methods Implementation.mp4	92.97 MB
		22. 21. Policy Gradient Methods Implementation.vtt	12.15 KB
		23. 22. One-Class SVM Implementation.mp4	28.89 MB
		23. 22. One-Class SVM Implementation.vtt	5.45 KB
		24. 23. Isolation Forest Implementation.mp4	32.41 MB
		24. 23. Isolation Forest Implementation.vtt	5.87 KB
		25. 24. Convolutional Neural Networks (CNNs) Implementation.mp4	64.7 MB
		25. 24. Convolutional Neural Networks (CNNs) Implementation.vtt	9.5 KB
		26. 25. Recurrent Neural Networks (RNNs) Implementation.mp4	58.24 MB
		26. 25. Recurrent Neural Networks (RNNs) Implementation.vtt	9.27 KB
		27. 26. Long Short-Term Memory (LSTM) Implementation.mp4	55.13 MB
		27. 26. Long Short-Term Memory (LSTM) Implementation.vtt	8.69 KB
		28. 27. Transformers Implementation.mp4	92.33 MB
		28. 27. Transformers Implementation.vtt	12.52 KB
		3. 2. Supervised Learning Algorithms Ridge and Lasso Regression Implementation.mp4	51.66 MB
		3. 2. Supervised Learning Algorithms Ridge and Lasso Regression Implementation.vtt	8.85 KB
		4. 3. Supervised Learning Algorithms Polynomial Regression Implementation.mp4	46.99 MB
		4. 3. Supervised Learning Algorithms Polynomial Regression Implementation.vtt	8.02 KB
		5. 4. Supervised Learning Algorithms Logistic Regression Implementation.mp4	36.37 MB
		5. 4. Supervised Learning Algorithms Logistic Regression Implementation.vtt	7.29 KB
		6. 5. Supervised Learning Algorithms K-Nearest Neighbors (KNN) Implementation.mp4	40.31 MB
		6. 5. Supervised Learning Algorithms K-Nearest Neighbors (KNN) Implementation.vtt	6.85 KB
		7. 6. Supervised Learning Algorithms Support Vector Machines (SVM) Implementation.mp4	42.25 MB
		7. 6. Supervised Learning Algorithms Support Vector Machines (SVM) Implementation.vtt	7.45 KB
		8. 7. Supervised Learning Algorithms Decision Trees Implementation.mp4	41.04 MB
		8. 7. Supervised Learning Algorithms Decision Trees Implementation.vtt	7.41 KB
		9. 8. Supervised Learning Algorithms Random Forests Implementation.mp4	40.6 MB
		9. 8. Supervised Learning Algorithms Random Forests Implementation.vtt	7.04 KB

Description

Обучающие видео » Компьютерные видеоуроки и обучающие интерактивные DVD » Программирование (видеоуроки)

Python Mastery: 100 Days, 100 Projects

Год выпуска: 2/2025
Производитель: Udemy
Сайт производителя: https://www.udemy.com/course/python-mastery-100-days-100-projects/
Автор: School of AI, Vivian Aranha
Продолжительность: 26h 47m 14s
Тип раздаваемого материала: Видеоурок
Язык: Английский
Субтитры: Английский
Описание:

Learn Python by Building 100 Real-World Projects in 100 Days – From Basics to Advanced Skills Through Hands-On Coding

What you'll learn Master Python Basics: Learn syntax, variables, loops, and functions to build a strong programming foundation
Build 100 Real-World Projects: Gain hands-on experience by developing practical Python applications every day
Use Data Structures Efficiently: Work with lists, dictionaries, sets, and tuples to manage and process data effectively
Develop Command-Line Apps: Create interactive programs that accept user input and handle errors gracefully
Integrate APIs and Libraries: Use external APIs and libraries like requests and datetime to fetch and manipulate data
Handle Files with Python: Read, write, and manipulate text, JSON, and CSV files for data storage and processing
Create GUI Applications: Design user-friendly desktop apps with Tkinter using buttons, input fields, and events
Implement OOP Principles: Apply classes, objects, inheritance, and encapsulation for scalable applications
Build Web Apps with Flask: Create simple web applications, handle routes, and render templates dynamically
Analyze Data with Pandas: Use Pandas and Matplotlib to manipulate and visualize datasets effectively
Automate Daily Tasks: Write scripts to automate repetitive tasks like file handling and email notifications
Debug and Optimize Code: Learn to identify and fix bugs efficiently while improving code performance
Work with Databases: Use SQLite to create, query, and manage data in Python applications
Explore AI and ML Basics: Build simple AI projects like chatbots and recommendation systems using Python libraries
Build a Strong Portfolio: Complete 100 projects to showcase practical Python skills and real-world problem-solving abilities Requirements A Computer or Laptop: Any device capable of running Python (Windows, macOS, or Linux).
Internet Connection: For downloading Python, libraries, and accessing additional resources
Python Installed: Install Python (version 3.8 or newer) from python official website
A Code Editor (Optional): Install a text editor like VS Code, PyCharm, or use the built-in IDLE editor.
Basic Computer Skills: Comfort with using files, folders, and navigating your operating system.
Curiosity and Enthusiasm: A willingness to learn, experiment, and build exciting projects.
Time Commitment: Set aside at least 1–2 hours per day for coding and project building.
A Notebook or Digital Notes App: Keep track of concepts, ideas, and project notes. Description

Welcome to "100 Days of Python: Build 100 Real-World Projects – From Beginner to Expert", the ultimate hands-on Python programming journey designed to take you from an absolute beginner to an advanced Python developer. This course is structured around project-based learning, ensuring you gain both theoretical knowledge and practical experience by building 100 unique projects over the next 100 days. Python is one of the most versatile and beginner-friendly programming languages, widely used in areas such as web development, data science, automation, artificial intelligence, and software development. This course aims to make Python learning fun, engaging, and deeply practical through a clear, structured approach.

Throughout this course, you'll start with the fundamentals of Python programming, including variables, loops, functions, and conditionals, ensuring you have a solid foundation. From there, you'll progressively dive into more advanced topics such as object-oriented programming (OOP), working with APIs, file handling, and GUI application development using Tkinter. You'll also explore web development with Flask, enabling you to create dynamic web applications, and data analysis with Pandas and Matplotlib, helping you visualize complex datasets. Each day is carefully designed to introduce a key concept, followed by a practical, real-world project that reinforces what you’ve just learned.

This course doesn’t just stop at coding fundamentals; it prepares you to solve real-world problems using Python. Whether you're developing a basic calculator, creating a weather dashboard app, or building an AI-powered chatbot, every project is crafted to simulate real-world scenarios. By the end of the course, you'll have a portfolio of 100 Python projects to showcase your skills, making you stand out in job applications, freelancing platforms, or even as an aspiring tech entrepreneur.

One of the standout features of this course is its structured progression. Each day, you'll start with a clear explanation of a Python concept, followed by a hands-on coding session where you'll build something tangible. The projects range from simple tools like countdown timers and math quiz games to more advanced applications like e-commerce backend systems and AI-powered tools. This gradual increase in difficulty ensures you're constantly challenged without feeling overwhelmed.

This course is perfect for beginners with no prior programming experience, as it starts with absolute basics and builds up gradually. It’s also ideal for aspiring developers, students, job seekers, and even freelancers looking to add Python to their skill set. If you're a hobbyist or tech enthusiast, you'll love how fun and interactive each project is, and if you're aiming to transition into a tech career, this course offers everything you need to succeed.

By the end of this journey, you’ll not only have mastered Python programming but also gained the confidence to tackle real-world projects independently. You'll be equipped with essential problem-solving skills, a deep understanding of Python libraries and frameworks, and a portfolio filled with impressive projects. Python is not just a programming language; it’s a skill that opens doors to endless opportunities in today's tech-driven world. If you're ready to learn Python by building, experimenting, and creating every single day, this course is your perfect starting point. Enroll today and let’s start building together!

Who this course is for: Absolute Beginners: No prior programming experience? No problem! Start with the basics and gradually build your skills.
Aspiring Programmers: Learn Python step-by-step with practical projects and real-world applications.
Students & Learners: Ideal for school, college, or university students who want to learn Python effectively.
Job Seekers & Career Switchers: Build a robust Python portfolio to showcase your coding and problem-solving skills.
Developers from Other Languages: If you're familiar with other programming languages, this course will help you master Python quickly.
Freelancers & Entrepreneurs: Learn to create tools, automate tasks, and build applications to grow your business or freelance career.
Data Enthusiasts: A strong foundation in Python will prepare you for data science, AI, and machine learning.
Tech Enthusiasts: Anyone passionate about technology and eager to learn how Python powers apps, websites, and automation tools.
Self-Learners: Independent learners who enjoy project-based and goal-oriented learning.
Hobbyists: Have fun building small games, tools, and creative projects with Python. Формат видео: MP4
Видео: avc, 1280x720, 16:9, 30.000 к/с, 737 кб/с
Аудио: aac lc, 48.0 кгц, 128 кб/с, 2 аудио
[spoiler="Изменения/Changes"]
The 2025/2 version has increased the number of lessons by 87 and the duration by 20 hours and 33 minutes compared to the 2024/9 version. Subtitles have also been added.
[/spoiler]
[spoiler="MediaInfo"]
General
Complete name : D:\2_1\Udemy - Python Mastery 100 Days, 100 Projects (2.2025)\05. Week 5 GUI Programming\3. Day 31 BMI Calculator Input Fields.mp4
Format : MPEG-4
Format profile : Base Media
Codec ID : isom (isom/iso2/avc1/mp41)
File size : 130 MiB
Duration : 20 min 47 s
Overall bit rate : 874 kb/s
Frame rate : 30.000 FPS
Writing application : Lavf59.27.100

Video
ID : 1
Format : AVC
Format/Info : Advanced Video Codec
Format profile : [email protected]
Format settings : CABAC / 4 Ref Frames
Format settings, CABAC : Yes
Format settings, Reference frames : 4 frames
Format settings, GOP : M=4, N=60
Codec ID : avc1
Codec ID/Info : Advanced Video Coding
Duration : 20 min 47 s
Bit rate : 737 kb/s
Nominal bit rate : 3 000 kb/s
Maximum bit rate : 3 000 kb/s
Width : 1 280 pixels
Height : 720 pixels
Display aspect ratio : 16:9
Frame rate mode : Constant
Frame rate : 30.000 FPS
Color space : YUV
Chroma subsampling : 4:2:0
Bit depth : 8 bits
Scan type : Progressive
Bits/(Pixel*Frame) : 0.027
Stream size : 110 MiB (84%)
Writing library : x264 core 164 r3095 baee400
Encoding settings : cabac=1 / ref=3 / deblock=1:0:0 / analyse=0x1:0x111 / me=umh / subme=6 / psy=1 / psy_rd=1.00:0.00 / mixed_ref=1 / me_range=16 / chroma_me=1 / trellis=1 / 8x8dct=0 / cqm=0 / deadzone=21,11 / fast_pskip=1 / chroma_qp_offset=-2 / threads=22 / lookahead_threads=3 / sliced_threads=0 / nr=0 / decimate=1 / interlaced=0 / bluray_compat=0 / constrained_intra=0 / bframes=3 / b_pyramid=2 / b_adapt=1 / b_bias=0 / direct=1 / weightb=1 / open_gop=0 / weightp=2 / keyint=60 / keyint_min=6 / scenecut=0 / intra_refresh=0 / rc_lookahead=60 / rc=cbr / mbtree=1 / bitrate=3000 / ratetol=1.0 / qcomp=0.60 / qpmin=0 / qpmax=69 / qpstep=4 / vbv_maxrate=3000 / vbv_bufsize=6000 / nal_hrd=none / filler=0 / ip_ratio=1.40 / aq=1:1.00
Color range : Limited
Color primaries : BT.709
Transfer characteristics : BT.709
Matrix coefficients : BT.709
Codec configuration box : avcC

Audio
ID : 2
Format : AAC LC
Format/Info : Advanced Audio Codec Low Complexity
Codec ID : mp4a-40-2
Duration : 20 min 47 s
Source duration : 20 min 47 s
Source_Duration_LastFrame : -1 ms
Bit rate mode : Constant
Bit rate : 128 kb/s
Channel(s) : 2 channels
Channel layout : L R
Sampling rate : 48.0 kHz
Frame rate : 46.875 FPS (1024 SPF)
Compression mode : Lossy
Stream size : 19.0 MiB (15%)
Source stream size : 19.0 MiB (15%)
Default : Yes
Alternate group : 1
[/spoiler]
[spoiler="Скриншоты"]

[/spoiler]

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