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Python Program to Implement Spyder Familiarization Assignment Solution

June 24, 2024
Dr. Lauren Chen
Dr. Lauren
🇦🇺 Australia
Python
Dr. Lauren Chen, a seasoned expert with 7 years of experience, is a doctorate of Yale University. With an impressive track record of completing over 500 Python assignments, she possesses a profound understanding of complex programming concepts. Dr. Chen's dedication to excellence and her ability to simplify intricate topics make her an invaluable resource for students seeking guidance in Python programming.
Key Topics
  • Instructions
    • Objective
  • Requirements and Specifications
Tip of the day
Use clear and meaningful flowchart symbols to represent logic accurately. Start with a simple plan, and break down the problem into smaller steps. Always test with sample inputs to ensure each path works as expected. Keep loops and conditions straightforward for better readability and easier debugging.
News
In May 2025, PyFCG debuted—an open-source Python library for Fluid Construction Grammar, empowering students to explore language processing and agent-based communication within their Python projects

Instructions

Objective

Write a Python assignment to implement spyder familiarization. In this assignment, you will be tasked with creating a program that introduces students to Spyder, a popular integrated development environment (IDE) for Python. The goal is to help students become comfortable with Spyder's features and functionalities while writing Python code. This hands-on assignment will provide step-by-step instructions for setting up Spyder, creating a new project, navigating the IDE, and writing a simple Python program. By completing this assignment, students will not only gain practical experience with Spyder but also enhance their coding skills in Python.

Requirements and Specifications

program-to-implement-spyder-familiarization-in-python
program-to-implement-spyder-familiarization-in-python 1

Source Code

import numpy as np myname = input('My name is:') array1 = np.linspace(1,10,10) array2 = np.linspace(20,35,16).reshape(2,8) array3 = np.linspace(100,135,36).reshape(2,3,6) notarray = 6.7 """ PROBLEM 7 """ array1.reshape(1, 16) array2.reshape(4,4) array3.reshape(4,4,2) """

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