
Covered detail about the course and topics.
Learn to write a Python program that calculates simple and compound interest using user input, float conversion, and exponentiation, demonstrated in a Jupyter Notebook.
Learn how to perform a linear search on a list of numbers and count the frequency of a target element using a counter and a for loop in Python.
Learn to count character occurrences in a string with a Python dictionary, using a for loop and conditional checks to accumulate counts, and understand ASCII values for letters.
Practice python programming by reading two numbers, converting inputs to integers, appending them to a list, and using max and min to display the larger and smaller values.
Learn to input a number and determine if it is prime or composite using a Python program. Understand prime and composite concepts and how to test divisors to decide results.
Learn to write a program that takes a positive number and prints that many Fibonacci terms, starting with 0 and 1, by summing the previous two terms.
Learn to find the largest and smallest numbers in a list or tuple using the max and min functions, and understand the difference between lists and tuples.
Write a Python program to find the smallest and largest numbers in a list using min and max functions, and print the results for practice.
Open a binary file in Python to read, write, and update student records (roll number, name, marks) using pickle serialization; store records as dictionaries and update by roll number.
Write a Python program that imports the random library, defines a function using def, and generates a random number between one and six to demonstrate uses in games and simulations.
Implement a queue using a Python list, performing enqueue and dequeue operations with front and rear pointers. Learn queue basics, FIFO behavior, and handling insertions and deletions.
Plot data with matplotlib by creating a figure and axes, plotting x and y data with a subplot, and showing the graph while exploring bar and pie charts.
Learn data analysis with pandas in Python by installing the library, importing it, and using a series constructor to turn raw data into meaningful information for decision making.
Learn how to print an nxn checkerboard pattern in python using numpy, with slices and nested loops to alternate zeros and ones for dark and light squares.
This course designed to learn python programming very fast way with covered the entire CBSE revised syllabus 2020-21 for Python Programming in subject Computation Thinking and Programming -1 and Computation Thinking and Programming -2.
Course start from basic that is printing Hello World! message and course end with Image Processing and Graph plotting.
I reviewed very closely the CBSE revised syllabus 2021-22 and after reading each chapter content for Computation Thinking and Programming -1 and Computation Thinking and Programming -2 then after found a way to teach Python quickly and created this course.
All the programs written in this course interpreted both Visual studio code and Jupiter notebook.
All student of this course allowed to ask questions/issue resolution and I will be response to each question/issue individually.
Complete Python Programming Practice suggested by CBSE (Computation Thinking and Programming -1 for Class 11th and Computation Thinking and Programming -2 for Class 12th).
Covered 50 (38 Python programs from CBSE revised course syllabus as 2020-2021 and 12 additional /advance programs).
Each Python program explained with analysis, logic used, objective of program and line by line writing.
Fastest way to understand the each python concepts through programs.
Additional topics covered like Graph plot using Matplotlib, Simple statistical analysis using Panda and Numpy, Matrix operation using Numpy, Web page creation using Web Browser and OS ,Image processing using Pillow module.
Notes :- This course is intended for purchase by adults like parents or guardian.