Udemy - Python Mastery - 100 Days, 100 Projects

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Udemy - Python Mastery - 100 Days, 100 Projects (Size: 1 GB)
  1 -A Quick Crash Course Learn Python from Scratch.mp4 180 MB
  10 -Day 9 Ingredient Checker Tuples & Sets.mp4 82.2 MB
  11 -Day 10 Note-Taking App File Handling.mp4 102.5 MB
  2 -Day 1 Welcome Message Generator Print Statements & Hello World.mp4 70.7 MB
  3 -Day 2 Personalized Greeting Program Variables & Data Types.mp4 76.6 MB
  4 -Day 3 Simple Calculator User Input & String Formatting.mp4 81.9 MB
  5 -Day 4 Number Comparison Tool If-Else Statements.mp4 74.7 MB
  6 -Day 5 Countdown Timer Loops (For & While).mp4 55 MB
  7 -Day 6 Basic Math Quiz Game Functions.mp4 99.5 MB
  8 -Day 7 Shopping List App Lists.mp4 110.4 MB
  9 -Day 8 Contact Book Dictionaries.mp4 131.1 MB
  Bonus Resources.txt 409.6 B
  Get Bonus Downloads Here.url 204.8 B

Description


Python Mastery: 100 Days, 100 Projects

https://DevCourseWeb.com

Published 1/2025
Created by Vivian Aranha
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 11 Lectures ( 3h 11m ) | Size: 1 GB

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.

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