Module 1.1: Introduction to Python and Anaconda

1. What is Python?

• Python is a high-level programming language

• Easy to read and write (English-like syntax)

• Used in:

  • Data analysis & visualization

  • Machine learning & AI

  • Scientific research

  • Web development

• Requires manual installation of libraries (e.g., NumPy, Pandas, Matplotlib)

2. What is Anaconda?

• Anaconda is a Python distribution

• Comes with:

  • Python pre-installed

  • Popular data-science libraries

  • Package manager (conda)

  • Tools like Jupyter Notebook, Spyder, Anaconda Navigator

3. Difference Between Python and Anaconda

👉 In short:
Python = Language
Anaconda = Python + tools + libraries

4. Why Use Anaconda for Data Analysis?

• No dependency issues

• All essential packages included

• Easy environment management

• Ideal for beginners and researchers

5. How to Launch Jupyter Notebook

Method 1: Using Anaconda Navigator

1. Open Anaconda Navigator

2. Click Launch under Jupyter Notebook

3. Browser opens with Jupyter home page

Method 2: Using Anaconda Prompt

1. Open Anaconda Prompt

2. Type:

3. Press Enter

4. Jupyter opens in browser

6. How to Create a Working Directory

Why Working Directory?

• Keeps all project files organized

• Prevents file path errors

• Best practice in data analysis

Method 1: Create Folder (Recommended)

1. Create a folder (e.g., Python_Data_Analysis)

2. Place it in:

   • Desktop or Documents

3. Open Jupyter Notebook

4. Navigate to that folder

5. Click New → Python 3 Notebook