HTML 5 With Quizzes And Python 3 Complete Course

Install and set up Anaconda to run Python 3.6, choosing 64-bit, agreeing to the license, adding path, and preparing for Python program execution in future lessons.

Explore Python at a glance: a high-level, object-oriented language with easy syntax, coding in immediate, script, and IDE modes, plus its broad ecosystem and applications.

define constants and variables in python, use uppercase for constants; demonstrate dynamic typing, reassignment, and multiple assignments, print values, and show no explicit declaration required.

Demonstrates defining a Python class with __init__ to store real and image parts, a display method, and creating objects complex one and complex two, including adding and deleting attributes.

Learn how Python uses lists as flexible arrays, when to use NumPy arrays for math, and how to index, slice, and modify multidimensional arrays.

Explore Python keywords and identifiers through examples, covering true/false, none, and/or/not, import, class, def, if-elif-else, break, continue, try-except-finally, for and while, and yield. This course explains syntax, usage, and outputs.

Explore Python tuples and their immutability, compare them with lists, and learn to create, index, slice, nest, unpack, concatenate, and use tuple methods like count and index, plus built-ins.

Explore python sets: create unordered, unique elements; understand immutability of elements and mutability of sets. Perform union, intersection, difference, symmetric difference, and use add, remove, discard, clear, and frozenset.

Import and alias Python modules, use from math import pi, or import star to access pi, demonstrating renaming and flexible module usage.

Master Python directory and file management with the os module, performing getcwd to identify the current working directory, chdir to switch folders, and listdir, mkdir, rename, and remove operations.

Explore how Python dictionaries store key value pairs and are defined with curly braces. Learn to print, retrieve, update, and remove items with get, pop, del, and clear.

Master Python strings by defining them with single, double, or triple quotes; index and slice; understand immutability, concatenation, escaping quotes, and basic format-based string operations.

Explore python data type conversion, including implicit and explicit type casting between int, float, and string, with practical examples and common errors.

Learn how Python 3 handles integers, floats, and complex numbers, tests with isinstance, and how decimal, fractions, math, and random modules enhance numeric precision and operations.

Explore Python namespace and scope by using the built-in id function to observe how variable identities change across outer and inner functions, including global updates and nested scopes.

Explore Python variable scopes by comparing global, local, and non-local variables; see how global x and local y behave, and how non-local updates propagate across nested functions.

Demonstrates how the Python global keyword modifies a global variable inside nested functions, showing that global x updates to 25 while local x remains 20.

Explore how Python iterators work with the iterator protocol, using __iter__ and __next__, and see examples like powers of two and an infinite iterator.

Explore Python iterations using for loops over lists, ranges, and tuples; print elements in order, control loop steps with range(6,11,2), and use an else block to signal completion.

Explore inheritance and polymorphism in Python's object oriented programming, demonstrating base and derived classes, constructors, and method access via super, with bird, penguin, and parrot examples.

Python demonstrates multiple inheritance by allowing a multi derived class to inherit methods from base one, base two, and base three.

Learn how Python functions handle input arguments, return values, and default or arbitrary arguments, illustrated with max finding, hello messages, and summing with *args.

Define Python functions with def, distinguish user defined from library functions by bodies, use indentation and doc strings, implement a menu-driven calculator with add/subtract/multiply/divide and input casting.

Learn how the Python break statement stops an infinite while loop when a random number between 1 and 19 is guessed, using the random module alias.

This lecture explains Python's continue statement in a for loop, showing how numbers 1 to 19 skip odd values and print even numbers, with the rest of the loop skipped.

Explore Python errors and exceptions, including try and except blocks and finally for cleanup, and learn how raising exceptions and catching zero division and type errors works.

Explore Python exception handling with try, except, and finally. Learn to handle zero division, value errors, type errors, and name errors through multiple except blocks and raising errors.

Build a voter's eligibility exception in Python by defining a subclass of Exception with a constructor using super, and demonstrate raising and handling with try, except, else, and finally.

Explore object oriented programming in Python by defining classes and objects, using constructors, self, and instance variables, and applying inheritance and encapsulation.

Explore Python nested dictionary implementation by declaring, defining, adding, and deleting entries, then print and traverse nested structures with for loops to access inner keys like name, age, and sex.

demonstrates python operator overloading with a two-dimensional point class, implementing __str__ for printing, __add__ for addition, and __lt__ for magnitude comparison on example points.

Explore python statements and comments, including single-line hash comments, multi-line comments with triple quotes, and printing. Learn assignment, expressions, explicit and implicit line continuation, semicolon-separated statements, and indentation-based blocks.

Learn how the Python pass statement serves as a placeholder in loops and blocks, producing no output. See how it lets you reserve code for future development.

Explore how Python generators simplify creating iterators by using yield to pause and resume, automatically handling stop iteration, with examples using next() and for loops and a reverse string generator.

Learn how Python decorators enable metaprogramming by modifying functions with an inner function and the @ syntax, illustrated with decorated functions and division by zero handling.

Demonstrates the Python while loop with initialization, indentation, condition, and decrementing i. Also covers while-else patterns and pattern printing with a dressing table of dots and stars.

Explore how to use if, elif, and else blocks in Python, with indentation, colon rules, and nested conditionals, including age-based and number sign examples.

Explore Python matrix implementation using nested lists to form a two-dimensional matrix with integers and strings, and learn to create, access, and modify elements.

Discover how Python regular expressions locate, verify formats, and transform strings. Learn searching, matching, replacing, and validating data such as emails and phone numbers with regex.

Explore Python list comprehension by converting a string to a list of characters, compare with a lambda function approach, and apply conditional filters and a matrix transpose.

The course shows how to implement recursion in Python by defining a factorial function with a base case and returning n times factorial(n-1), demonstrated with 5 yielding 120.

Explore Python input, output, and import by using print to display variables and strings, handling end and separator, converting types, and importing math for power operations.

Demonstrates shallow versus deep copy in python, showing that equals shares references, while shallow copies do not duplicate nested objects; deep copies create new objects via copy.deepcopy.

Learn how Python lambda functions provide anonymous definitions to double values, filter even numbers from a list, and map items to new doubled results.

Learn how Python assertions validate conditions, using booleans like len(marks) != 0 to avoid empty lists; when false, an assertion error stops execution.

This lecture demonstrates Python's built-in property to manage attributes with getter and setter in a temperature example, including private _temperature, validation against -273, and optional decorator usage.