CBSE CS and IP

CBSE Class 11 & 12 Computer Science and Informatics Practices Python Materials, Video Lecture

Showing posts with label Video Lecture. Show all posts
Showing posts with label Video Lecture. Show all posts

Class 11 Computer Science Video Lectures

Class 11 Informatics Practices Video Lectures

Class 12 informatics Practices Video Lectures

CBSE Class 12 informatics Practices Video Lectures

CBSE SYLLABUS


UNIT - 1 (Data Handling using Pandas and Data Visualization)

Data Handling using Pandas -I

Pandas Series

  1. Pandas Introduction, Pandas Data Structure, Creating Series Object
  2.  Create Series Object
  3.  Creating Series Object (index parameter)
  4.  dtype parameter, Creating Series with numpy Data types
  5.  Series Attributes
  6.  Series Methods [List of Methods][Video]
  7.  NaN (Not a Number) in Python Pandas
  8.  Python Pandas Series with Duplicate Data Labels/Indexes
  9.  Accessing Elements of Series (Accessing Individual Element )
  10.  Extracting Pandas Series Slices
  11.  Operations on Series Data Structure

Pandas DataFrame

Unit 4: Societal Impacts


TERM-2


UNIT - 2 Database Query using SQL

Class 12 Computer Science Video Lectures

CBSE Class 12 Computer Science Video Lectures

CBSE SYLLABUS

  1. XII CS Term-Wise Syllabus 2021-22 (CBSE)

TERM-1

UNIT - 1 Computational Thinking and Programming-2

INTRODUCTION TO PYTHON FUNCTIONS

  1.  Introduction to python functions
  2.  def, return, advantages of functions
  3.  Parameter Passing, Types of Arguments/Parameters
  4.  Types of Formal Arguments (Positional , Default, Keyworded Arguments)
  5.  Types of Formal Arguments (Variable length Argument)
  6.  Multiple argument types together
  7.  Nested Functions in Python
  8.  Polymorphism in Python Functions
  9.  Variable Scope (Global & Local Variables)
  10.  Variable Memory assignment in Python
  11.  Mutability & Immutability of Argument/Parameter

PYTHON MODULE, PACKAGES, LIBRARIES (Not in Term-Wise Syllabus)

  1.  MODULES, PACKAGES, LIBRARIES & FRAMEWORK
  2.  Creating your Own Modules and Packages in Python
  3.  help(), dir() Functions in Python || Docstring in Module
  4.  What is Namespace for an Object in Python
  5.  Different Types Of Import Statements in Python

FILE HANDLING

  1.  File Handling Introduction
  2.  Absolute Path, Relative Path
  3.  read, write, append in a file
  4.  All file Opening Modes introduction
  5.  encode() and decode() string functions in python
  6.  read modes [r,r+,rb,rb+]
  7.  write modes [w,w+,wb,wb+]
  8.  append modes [a,a+,ab,ab+]
  9.  File Object Attributes and Method Introduction
  10.  File Object Methods
  11.  read, readline, readlines()
  12.  write(), writelines()
  13.  seek(), tell()
  14.  Reading a file Character by Character
  15.  Reading a file Word by Word
  16.  Reading a file Line by Line
  17.  python standard streams - stdin,stdout,stderr
  18.  Pickle Module in Python (load(), dump())
  19.  Search and Update in Python Binary File and Pickle File
  20.  CSV file handling (reader, writer)

RECURSION IN PYTHON FUNCTIONS (Not in Term-Wise Syllabus)

  1.  Recursion in Python - Types, Base Case, Recursive Case
  2.  How to Solve Recursive Problems
  3.  Recursion Example-1 (Sum of First N Natural Numbers)
  4.  Recursion Example-2 (How to Find Factorial using Recursion)
  5.  Recursion Example-3 (Fibonacci Series in Python) 
  6.  Recursion Example-4 (Binary Search in Python)

IDEA OF ALGORITHMIC EFFICIENCY (Not in Term-Wise Syllabus)

  1. Idea of Algorithmic Efficiency (Time Complexity)

TERM-2

DATA STRUCTURE IN PYTHON

  1. Introduction (List, Stack, Queue)
  2. Data Structure - List (Not in Term-Wise Syllabus)
  3. Data Structure - Stack
  4. Data Structure - Queue (Not in Term-Wise Syllabus)
  5. Infix to Postfix Conversion

UNIT-2 COMPUTER NETWORK

UNIT - 3 DATABASE MANAGEMENT