Python for Non-Programmers | Python Tutorial for Absolute Beginners in 2021 | Great Learning

Introduction

This tutorial is designed for absolute beginners looking to learn Python, one of the most popular programming languages today. Whether you're seeking a career upgrade or simply want to enhance your skill set, this guide will provide you with a structured approach to mastering Python. We will break down essential concepts and skills needed to get started, making learning manageable and enjoyable.

Step 1: Understand the Importance of Learning Python

• Why Python:
  • Python is widely used in various domains, including web development, data analysis, artificial intelligence, and automation.
  • Its simplicity and readability make it an ideal language for beginners.
  • It has extensive community support and a wealth of libraries and frameworks.

Step 2: Assess Required Skills

• Basic Skills:

  • Familiarity with basic computer operations (file management, using applications).
  • A willingness to learn and experiment with code.

• Recommended Mindset:

  • Adopt a problem-solving attitude.
  • Be prepared for trial and error; debugging is a part of learning.

Step 3: Set Up Your Python Environment

• Installation:

  • Download Python from the official website: python.org.
  • Follow the installation instructions, ensuring to check the box to add Python to your PATH.

• Choose an IDE:

  • Install a code editor or Integrated Development Environment (IDE) such as:
    • PyCharm
    • Visual Studio Code
    • Jupyter Notebook (especially useful for data science)

Step 4: Learn Basic Python Syntax

• Data Types: Understand the basic data types in Python:

  • Integers, floats, strings, and booleans.

• Variables:

  • Create variables to store data using the assignment operator =.
  • Example:

    name = "Alice"
    age = 25
    

• Control Structures:

  • Familiarize yourself with conditional statements (if, else, elif).
  • Example:

    if age > 18:
        print("Adult")
    else:
        print("Minor")
    

• Loops:

  • Learn how to use for and while loops for iteration.
  • Example:

    for i in range(5):
        print(i)
    

Step 5: Explore Popular Python Libraries

• Key Libraries:

  • NumPy: For numerical computations.
  • Pandas: For data manipulation and analysis.
  • Matplotlib: For data visualization.

• Installation: Use pip to install libraries:

  pip install numpy pandas matplotlib
  

Step 6: Hands-On Practice

• Practice Coding:

  • Work on small projects or coding challenges to reinforce learning.
  • Websites like LeetCode, HackerRank, and Codecademy can provide practical exercises.

• Build Projects:

  • Start with simple projects like a calculator, to-do list, or a web scraper.
  • Gradually increase complexity as you become more comfortable with the language.

Conclusion

Learning Python opens up numerous opportunities in various fields. By following a structured approach, including understanding its significance, setting up your environment, mastering basic syntax, and practicing regularly, you can build a solid foundation in Python. As you gain confidence, continue exploring libraries and projects to expand your skills further. Happy coding!