About How to Learn Python in 3 Days through Examples and Exercises by Daniel Christofis
With the help of this thorough manual, anyone can learn Python programming in just three days. It is designed for both newcomers and seasoned programmers wishing to improve their abilities. “How to Learn Python in 3 Days through Examples and Exercises” offers a condensed yet thorough exploration of Python’s wide landscape, concentrating on its useful applications and fundamental ideas.
Day 1: Introduction to Python
What is Python: Start by discovering why Python is an essential tool in modern programming, its applications, and its influence in various fields.
Setting up the Environment: A step-by-step guide to install Python and configure your coding workspace.
Data Types, Variables, and Operators: Lay the foundation with an understanding of Python’s basic building blocks.
Input and Output Operations: Learn how to communicate with users and manipulate data.
Day 2: Diving Deeper
Conditional Statements: Explore logical operations and control structures.
Loops: Explanation of ‘for’ and ‘while’ loops and how to control flow with ‘break’ and ‘continue’.
Defining Functions: Master the art of reusable code through functions and understand variable scope.
Lambda Functions: Learn the elegance of single-line functions.
Day 3: Advanced Techniques
Importing Modules and Creating Packages: Enhance your code by integrating prebuilt functions and creating your reusable packages.
Error and Exception Handling: Learn to gracefully manage unexpected issues in your code.
Classes and Objects: Dive into object-oriented programming and discover how to design robust applications.
Inheritance: Explore the power of inheritance and polymorphism to create clean and reusable code.
Working with CSVs and JSON: Handle various data formats and integrate them into your projects.
NumPy and Pandas: Get started with data analysis and manipulation using these powerful libraries.
Day 1 – Exercises & Solutions
Day 2 – Exercises & Solutions
Day 3 – Exercises & Solutions
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I’m an electrical engineer with a strong background in Python programming, machine learning, and algorithmic trading. With a passion for both technology and finance, I have found my niche in the exciting field of algorithmic trading.
Throughout my career, I have developed a deep understanding of Python and its applications in various domains. Leveraging my expertise in machine learning, I have explored the realm of algorithmic trading and its potential to optimize trading strategies.