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BCA - Semester 2 - Programming Skills (Code 204)

Theory & Concepts Practical Labs Mixed Learning

🔄 Workflow Navigation

📚 Theory Concepts
Weekend Lectures

💻 Lab Practice
Weekday Exercises

⚡ Exam Prep
Quick Reference

📊 Overall Progress: 0/45 Units Completed

Use this checklist to track completion for the Programming Skills course (Code 204), covering C and Python fundamentals.

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📚 Theory Concepts Weekend Lectures

80% Reading, 20% Practice

✅ UNIT–1: C Programming (Arrays, Structure, Union & Functions)

Progress: 0/15 Completed 🟡

🔹 1.1 Two-Dimensional Numeric Array

• Concept of 2D arrays
• Declaring 2D numeric array
• Initializing 2D numeric array
• Array operations:
  • Addition
  • Subtraction
  • Multiplication
  • Transpose
• Element address calculation
  • Row major order
  • Column major order

🔹 1.1.4 Two-Dimensional Character Array

• Declaring 2D character array
• Initializing 2D character array
• Operations on 2D character array:
  • Searching elements
  • Copying strings
  • Merging strings
  • Finding length of string

🔹 1.2 Structure and Union

• Concept of structure
• Concept of union
• Defining structure and union
• Declaring structure and union
• Initializing structure and union
• typedef usage
• Accessing structure members
• Difference between structure and union

🔹 1.3 User Defined Functions (C)

• Function return type
• Parameter list
• Local variables
• Passing arguments to function
• Calling function:
  • From main()
  • From another function
• Types of functions:
  • No arguments, no return value
  • No arguments, return value
  • With arguments, no return value
  • With arguments, return value
• Recursive function

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💻 Lab Practice Weekday Exercises

20% Reading, 80% Practice

🛠️ Practical Lab Exercises

C Programming Labs

• 2D Array Operations Lab: Implement matrix operations
• Structure Lab: Create student record system
• Function Lab: Build calculator with functions

Python Programming Labs

• Variables Lab: Interactive variable explorer
• String Lab: Text processing exercises
• List Lab: Data manipulation practice
• FYBCA Python Practical Journal (10 Programs): Open Journal Set

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⚡ Exam Prep & Quick Reference Fast Track

Mixed Theory + Practice

📝 Exam Preparation

Previous Year Questions

• C Programming Papers (2020-2024)
• Python Programming Papers (2020-2024)
• Viva Questions Preparation

Quick Reference Sheets

• C Syntax Summary
• Python Built-in Functions
• Common Error Solutions

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✅ UNIT–2: Python Fundamentals

Progress: 0/8 Completed 🟡

🔹 2.1 Basics of Python

• Interpreter based language concept
• Structure of Python program
• Code indentation
• Program execution flow

🔹 2.2 Python Variables

• Naming rules of variables
• Dynamic declaration of variables
• Comments in Python
• Multiple variable assignment
• Global variables

🔹 2.3 Python Data Types

• Text type (str)
• Numeric types (int, float, complex)
• Boolean type (bool)
• Setting data types
• Type conversion
• Type casting (int, float, str)

🔹 2.4 User Defined Functions (Python)

• Defining function
• Function with parameters
• Default parameter values
• Function with return value

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✅ UNIT–3: Python Strings & Operators

Progress: 0/15 Completed 🟡

🔹 3.1 Python Strings

• Multiline string
• String as character array
• Triple quotes
• String slicing
• Negative indexing
• String length
• String concatenation
• String methods:
  • center()
  • count()
  • join()
  • len()
  • max()
  • min()
  • replace()
  • lower()
  • upper()
  • split()

🔹 3.2 Operators

• Arithmetic operators
• Assignment operators
• Comparison operators
• Logical operators
• Identity operators
• Membership operators

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✅ UNIT–4: Python Conditional & Iterative Statements

🔹 4.1 Conditional Statements

• if statement
• if-elif statement
• if-elif-else statement
• Nested if

🔹 4.2 Iterative Statements

• while loop
• Nested while loop
• break statement
• continue statement
• for loop
• range()
• pass statement
• else with for loop
• Nested for loop

🔹 4.3 List

• Creating list
• Indexing
• Accessing list elements
• Range in list
• List methods:
  • append()
  • clear()
  • copy()
  • count()
  • index()
  • insert()
  • pop()
  • remove()
  • reverse()
  • sort()

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✅ UNIT–5: Python Collections & Library

🔹 5.1 Python Collections

Tuples

• Declaring tuple
• Indexing tuple
• Changing tuple values
• Adding & removing data
• tuple() method
• count()
• index()

Sets

• Declaring set
• Accessing set data
• Set methods:
  • add()
  • clear()
  • copy()
  • discard()
  • pop()
  • remove()
  • union()
  • update()

Dictionary

• Creating dictionary
• Adding elements
• Accessing elements
• Removing elements
• Dictionary methods:
  • get()
  • pop()
  • popitem()
  • clear()
  • copy()

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🔹 5.2 Numpy & Pandas

Numpy

• Introduction to numpy
• Mean
• Median
• Mode
• Standard Deviation
• Variance
• Applying numpy methods on list-based dataset

Pandas DataFrame

• Creating dataframe using list
• Creating dataframe using dictionary
• Reading CSV file (read_csv())
• Retrieving rows & columns using index
• Using loc
• Using iloc

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Subjects

• RDBMS (Code 205)

Topics

• Rdbms

Related Articles (Non-BCA Path)

Use these topic pages for detailed learning and revision outside the BCA folder structure:

• Programming Skills 204 Hub:
  • Overview
• C Track:
  • 2D Numeric Array (C)
  • 2D Character Array (C)
  • Structure and Union (C)
  • User Defined Functions (C)
• Python Track:
  • Basics of Python
  • Python Variables
  • Python Data Types
  • User Defined Functions (Python)
  • Strings and Operators
  • Conditional and Iterative Statements
  • Lists
  • Collections (Tuple, Set, Dictionary)
  • NumPy and Pandas Basics