StartingIntoPython

Here is a collection of my first python programs I developed using a mobile application to understant th theory behind python and the common key functions,methods, and keyowrds, to kickstart my python journey.

##The mobile app used for learning is Python Coding, and the IDE/Compiler i used to run and test these code is Python 3. ##Bare in mind that I started on my mobile phone after I was blessed with a new machine, I couldn't wait to dive deeper into Python.

So I'll first start with my developed python codes: --This was created a few hours after understanding the fundementals of python and what Pc or mobile installations were required. --After these few hours of learning I was already testing out ideas because I have an understanding of C# coding

One of the most interesting things about learning a new language/system is getting to understand the basics such as syntax,.

1.PrintInput.py

#Here is an analysis of my first Python code, highlighting the most important aspects of my foundations in python:

1. User Input

• The code uses the input() function to collect user input for the first name, last name, and age.
• python code: first_name = input("Enter your first name: ")

2. String Concatenation

• The + operator is used to concatenate strings to form the full name and display a greeting.
• python code: full_name = first_name + " " + last_name print("Hello Python World, I'm " + full_name)

3. Type Conversion

• The int() function is used to convert the user's age input (a string) into an integer for comparison.

4. Conditional Statements

• The code uses if, elif, and else statements to categorize the user's age into different life stages.

5. Error Handling

• A try-except block is used to handle invalid input (e.g., non-numeric values for age). If the input cannot be converted to an integer, a ValueError is caught, and an error message is displayed.
• python code: try: user_age = int(input("Please enter your age: ")) except ValueError: print("The input wasn't a valid number.")

6. Logical Operators

• Logical operators like and are used to define ranges for age categories.
• python code: if user_age >= 13 and user_age < 18:

This code gave me a good basic of Python programming concepts like input handling, conditionals, and error handling.

2.stringMethods.py

• python code: course = "Python for beginners" -String Methods: Uses upper(), lower(), find(), and replace() to manipulate the course string. -User Input: Accepts a letter/word to search in the string. -Substring Check: Uses the in operator to verify if the input exists in the string. -Conditional Logic: Outputs appropriate messages based on the presence of the input in the string. -Output: Prints results of string manipulations and search outcomes.

3.simpleMaths.py

• python code: x = (10 -5) + 3 * 10 / 2 This code demonstrates basic arithmetic operations in Python, including addition (+), subtraction (-), multiplication (*), and division (/). It also evaluates a compound expression using operator precedence. The results of these calculations are printed to the console.

4.range.py

• python code: for number in range(1,20,2): print(number * "*") # range is used to store a range of numbes 1 to 19 and stepping over a number by 2

Output

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*********, etc.

5.whileloopPyramid.py

creating two right angle tringles opposite each other, looking like an isosceles triangle

Output

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6.listvalues.py

This code demonstrates basic list operations in Python, including updating elements, appending, inserting, removing, searching, and iterating through a list. It also checks the list's length and uses both while and for loops for iteration. It highlights foundational list manipulation techniques.

7.Listdatatables.py

Here’s a detailed analysis of my code:

Purpose

The code manages employee data using multiple lists (lstnames, lstdept, lstsalary, and lstid) to store names, departments, salaries, and IDs. It allows users to add new employees interactively and displays the data in a structured format.

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Key Components

a. Lists for Data Storage

• Multiple lists are used to store different attributes of employees:
  • lstnames: Stores employee names.
  • lstdept: Stores employee departments.
  • lstsalary: Stores employee salaries.
  • lstid: Stores employee IDs, which are generated dynamically.

b. User Interaction

• The program uses a while loop to allow users to add new employee data interactively:

  response = input("Add new user with data(Yes/No): ")
  if response.upper() == "NO":
      isAppend = False

  • Users can input the name, department, and salary for new employees.
  • The data is appended to the respective lists.

c. Dynamic ID Generation

• Employee IDs are dynamically generated using the icount variable, which increments with each new entry:

  lstid.append(icount)

d. Data Display

• A second while loop iterates through the lists and prints the employee data in a structured format:

  print("At "+ str(icount) + " ," + lstnames[icount] + ", " + lstdept[icount] + " ," + str(lstsalary[icount]))

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Features**

1. Data Input and Storage:

   • The program collects employee data (name, department, salary) and stores it in separate lists.
   • It uses input() for user interaction.

2. Dynamic Data Handling:

   • New data can be appended to the lists dynamically during runtime.

3. Data Display:

   • The program displays all employee data in a readable format, showing the ID, name, department, and salary.

4. List Operations:

   • append(): Adds new data to the lists.
   • insert(): Inserts IDs into the lstid list at specific positions.

# Refactored Code
employees = []
is_append = True

while is_append:
    response = input("Add new user with data (Yes/No): ")
    if response.upper() == "NO":
        is_append = False
    else:
        name = input("Enter name: ")
        dept = input("Enter department: ")
        salary = int(input("Enter salary: "))
        emp_id = len(employees)  # Generate ID based on current list length
        employees.append({"id": emp_id, "name": name, "dept": dept, "salary": salary})

# Display employee data
for emp in employees:
    print(f"ID: {emp['id']}, Name: {emp['name']}, Department: {emp['dept']}, Salary: {emp['salary']}")

Summary

This code demonstrates foundational concepts like list manipulation, user interaction, and dynamic data handling. While it works well for basic use cases, refactoring to use a more structured data format (like dictionaries) would improve readability, scalability, and maintainability.

7.dictionaries(kvpairs)

Dictionary Creation:

A dictionary tinydict is created with key-value pairs representing employee data (e.g., empid, name, paycode, etc.). Accessing Keys:

The keys() method is used to retrieve all the keys in the dictionary: Accessing Values:

The values() method is used to retrieve all the values in the dictionary: Short Description This code demonstrates basic dictionary operations in Python, including creating a dictionary with key-value pairs and retrieving its keys and values using the keys() and values() methods.

8.addDict2List.py

A list can hold dictionaries as its elements, allowing you to store multiple key-value pairs in an organized way. This is useful for managing structured data, such as employee id,name,department,and salary, where each dictionary represents an individual entity.