Python for Beginners. Learn Twice (FREE Presentation E-BOOK)

Discover how to use Jupyter Notebook options—code, markdown, raw nbconvert, and headings—to write comments, explain your project, and format math with markdown and latex.

Use the plus icon to add an empty cell, the scissors icon to delete a cell, and the top or below icons to move the current cell.

Run Jupyter cells to display a number in square brackets, indicating how many times you executed. The caption notes non-empty runs increment the number, while empty cells show nothing.

Learn the print() function basics in Python, printing text, numbers, and objects to the screen; use commas to separate multiple items in a single print() call.

Learn to print objects to the screen with Python's print() function, including initializing a Jupyter notebook via Anaconda, creating files, and printing multiple items with commas to avoid syntax errors.

Explore how the print() function end option appends the specified value to the overall output, as shown when end is '***' after the last object.

Learn how to declare and use string, integer, and float variables in Python, including creating variables by assignment and using type() and str() to inspect and convert types.

Explore Python variables using Jupyter notebook, creating string, integer, and float values, printing results, and checking types with type(). Learn how str(), int(), and float() convert values.

Demonstrate how extra spaces and tabs trigger indentation errors in Python, using an age variable and print() in a Jupyter Notebook, and highlight misalignment that causes IndentationError.

Demonstrate text data handling Python with Jupyter Notebook: declare string variables using single or double quotes, check types with type(), convert with str(), and manage multi-line text with triple quotes.

Explore numeric data types in Python, including integer, float, and complex, and learn them one by one, starting with the integer type in the next lesson.

Explore the integer type in python by declaring age = 20 in a jupyter notebook, printing its value and type as int, and using int() to convert strings or floats.

Discover the float numeric type in Python, a decimal number with a single dot, and learn to print, identify its type, and convert strings or integers to float().

Demonstrates float numeric types in python with a Jupyter notebook, converting integers and strings to floats using float(), and observing type changes from int or str to float.

Explore complex numbers in Python as a numeric type, learn that j denotes the imaginary part, and convert strings or numbers to complex using the complex() function, which adds 0j.

Explore how Python handles numeric types by declaring int, float, and complex values with j notation in a Jupyter notebook, printing types, and performing basic arithmetic with complex numbers.

Identify how SyntaxError and NameError arise in Python code through misquoted strings, invalid numeric values, and undeclared variables, with error clues like 'invalid syntax' and 'b is not defined'.

Learn to convert integer, float, and complex numbers to strings using the str() function, with practical examples showing the resulting string type 'str'.

Learn how to convert strings, floats, and complex numbers to integers using the int() function. Avoid non-numeric strings; they raise a ValueError, and complex numbers raise a TypeError.

Convert strings, integers, and floats to complex numbers using the complex() function, handling numeric strings like '10+10j' and noting that integers and floats become complex with +0j.