Python Programming And Computer Science: Class Xii (Cbse)

Posted By: ELK1nG

Python Programming And Computer Science: Class Xii (Cbse)
Published 7/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 4.73 GB | Duration: 9h 46m

Master Python Programming and Computer Science Concepts for Class XII

What you'll learn

Understanding the core and advance functionality of Python codes

File Handling concepts and practical's like Text, Binary and CSV file Operation using Python

Different type of function including Recursion function and user define function

Passing different type of Arguments and function itself to the function as function calling statement

Data Structure Like Stack, Queue implemented by List Object

Connecting Python with Database MySQL with Easy Mode

MySQL Connector and working with Pycharm IDLE to interface Database Connectivity

Requirements

A Tiny basic knowledge of Python Language till control statements (till if and else)

A Desktop Computer/Laptop

Python IDLE Software, Pycharm

MySql Server 5.1 or 8+version Later for connectivity between Database and Python Programing

Description

Throughout this course, we will cover a diverse range of topics that are essential for any Python developer. We will begin by understanding the core concepts of Python programming, such as variables, data types, operators, control flow, and loops. Once you have a solid grasp of the basics, we will move on to explore the power of functions in Python. You will learn how to define and utilize functions effectively to modularize your code and enhance reusability.File handling is a crucial aspect of any programming language, and Python provides robust capabilities in this area. We will extensively cover file handling, including working with text files, binary files, and CSV files. You will learn how to read from and write to files, manipulate their contents, and effectively manage data storage and retrieval.Searching for data within a file is a common task in programming. We will dive into techniques for efficiently searching and extracting specific data from files using Python. You will learn how to implement different search algorithms and leverage Python's powerful libraries to streamline this process.Data structures play a vital role in organizing and manipulating data effectively. In this course, we will explore two fundamental data structures: the stack and the queue. You will understand their underlying principles, learn how to implement them using Python, and leverage their capabilities to solve various programming problems.Furthermore, we will delve into database connectivity with Python. You will learn how to establish connections to databases, execute queries, retrieve and manipulate data, and handle errors gracefully. This knowledge will empower you to interact with databases efficiently and build robust applications that rely on data persistence.As we progress through the course, you will gain hands-on experience through numerous coding exercises and projects. These practical examples will consolidate your understanding of the concepts covered and enable you to apply them to real-world scenarios.By the end of this course, you will have a comprehensive understanding of Python, from its basic syntax to advanced topics like file handling, data structures, and database connectivity. You will be equipped with the skills necessary to develop efficient and scalable Python applications, whether you are pursuing a career as a programmer, a data scientist, or a web developer.Join me on this exciting journey of learning Python and unlock the boundless possibilities it offers. Enroll in this course now and let's embark on a transformational learning experience together!

Overview

Section 1: Introduction

Lecture 1 Introduction

Lecture 2 Introduction to the function and working with function

Lecture 3 Passing Function as Argument and Using Google Celebratory for Python

Lecture 4 Using Google Celebratory with your Android Mobile, Mutability and Immutability

Lecture 5 Passing Sequence (String, List and Dictionary) to the Function and Using Library

Lecture 6 Default Argument and Positional Argument in function

Lecture 7 Introduction to the Recursion in Python

Lecture 8 Recursion Based Program Practice I

Lecture 9 Recursion Based Program Practice II

Lecture 10 Fibonacci Series Program by recursion

Lecture 11 Binary Search Program using recursion

Section 2: Python Library

Lecture 12 Intro to the Python Library and it use

Section 3: File Handling in Python

Lecture 13 Introduction to File and file handling in Python

Lecture 14 Reading Text File

Lecture 15 Writing a Text File with Different modes

Lecture 16 Absolute and Relative Path of File & Standard Errors

Lecture 17 How to reverse file contents

Lecture 18 Basic File Handling Operation on Binary File

Lecture 19 Searching and Replacing in Binary file

Lecture 20 Searching and updating File contents by Pickle module

Lecture 21 Intro to CSV File and Related Operations

Lecture 22 Writing and Reading CSV using Dictionary

Section 4: Data Structure with Python

Lecture 23 Introduction to Data Structure

Lecture 24 Implementing Stack Using List in Python

Lecture 25 Implementing Queue Using List

Lecture 26 Algorithm of Stack in Python

Lecture 27 Algorithm of Queue

Section 5: Database Connectivity using Python

Lecture 28 About MySQL As Database interface software

Lecture 29 Installation of MySQL

Lecture 30 Using Pycharm for MySQL and Python Connectivity

Lecture 31 Connecting MySQL with Python Program

Lecture 32 Inserting Records in MySQL using Python Program

Lecture 33 Updating Tuples in MySQL using Python Program

Lecture 34 Deleting Records in MySQL using Python Program

Lecture 35 Searching records in MySQL using Python Program

Lecture 36 Display Data by fetchone() and fetchall() and recount in Python Program

Section 6: Projects

Lecture 37 Dice Rolling Program

Lecture 38 Student Database and connectivity Program

Python developer those who want to be beginner to advance,Course for those who want command on File handling and Connectivity between Python and DataBase