Python Programming for Beginners

Explore variables, data types, and the operator in Python. Learn how to store information and perform calculations using integers, floats, strings, and booleans.

Explore Python arithmetic operators, including addition, subtraction, multiplication, division, modulus, and floor division, with example outputs to illustrate their results.

Learn Python comparison operators that compare two values and return true or false, with examples like six greater than three and six equal to six used in if statements.

Learn to talk to your Python program using print and input, use variables to create output like hello John, and convert input to int for arithmetic.

Learn how conditional statements in Python use if-else to run code when conditions are true or false, demonstrated with age and score examples.

Explore loops in Python to print sequences efficiently using for and while loops. Demonstrate a for loop iterating over a range and a while loop running while a condition holds.

Learn Python data structures by using strings with indexing and methods like upper and replace, and working with lists, tuples, and sets for mutable, immutable, and unique data.

Learn to define and call functions in Python using def, pass parameters, return results, and manage local and global scope to build reusable blocks of code.

Learn practical file handling in Python by creating, writing, reading, and appending to text files like data.txt and log.txt, with automatic closing via the with statement.

Learn how to use Python's try and except blocks to handle value errors and divide by zero, and use finally for clean up tasks like closing files.

Master exception handling in Python using try, except, and finally blocks to manage errors such as zero division and invalid input, and perform cleanups with file operations.

Install the matplotlib library, import matplotlib.pyplot as plt, and create line graphs, bar charts, and pie charts to visualize data in Python.

Visualize the weekly temperature data by plotting seven daily values with matplotlib, using a red marker, grid, and x-y labels for days and Celsius in a weekly temperature report.

Learn to handle data with numpy arrays for fast numerical operations and pandas dataframes for analysis, filtering, sorting, and importing and exporting CSV data.

Learn to automate repetitive file tasks in Python using the os module to list and create files, and build a simple log generator with datetime to record timestamps.

Build a python attendance tool that records names with the date and time to attendance.txt, then generate a student report with pandas including a grade column and export as report.csv.