Python Mastery: 100 Days, 100 Projects

Course Overview

• Course Title: Python Mastery: 100 Days, 100 Projects
• Instructor: Vivian Aranha
• Target Audience:
  • Beginners with no prior programming experience
  • Aspiring developers
  • Students
  • Job seekers
  • Freelancers
  • Hobbyists
  • Tech enthusiasts
• Prerequisites:
  • 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

Curriculum Highlights

• Key Topics Covered:
  • Master Python Basics
  • Build 100 Real-World Projects
  • Use Data Structures Efficiently
  • Develop Command-Line Apps
  • Integrate APIs and Libraries
  • Handle Files with Python
  • Create GUI Applications
  • Implement OOP Principles
  • Build Web Apps with Flask
  • Analyze Data with Pandas
  • Automate Daily Tasks
  • Debug and Optimize Code
  • Work with Databases
  • Explore AI and ML Basics
  • Build a Strong Portfolio
• Key Skills Learned:
  • Python syntax, variables, loops, and functions
  • Hands-on experience by developing practical Python applications
  • Efficient use of data structures
  • Creating interactive programs
  • Using external APIs and libraries
  • Reading, writing, and manipulating text, JSON, and CSV files
  • Designing user-friendly desktop apps with Tkinter
  • Applying classes, objects, inheritance, and encapsulation
  • Creating simple web applications
  • Manipulating and visualizing datasets
  • Writing scripts to automate repetitive tasks
  • Identifying and fixing bugs
  • Creating, querying, and managing data in Python applications
  • Building simple AI projects
  • Showcasing practical Python skills and real-world problem-solving abilities

Course Format

• Duration: 13 hours on-demand video
• Format: Self-paced online course
• Resources:
  • Access on mobile and TV
  • Certificate of completion