Development

Python Mastery: 100 Days, 100 Projects

Vivian AranhaV
Vivian Aranha
7/6/2026·2 min read

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
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