Python Complete Course And Flask Framework, HTML Essentials

Install and set up Anaconda on Windows by selecting Python 3.6 64 bit, agreeing to the license, adding to path, and finishing setup for future code execution.

Explore Python as a high-level, object-oriented language with an easy syntax, and learn three coding modes—immediate, script, and IDE—along with core features, interpreter, and frameworks.

Define constants in Python with all-capital names like pi, then define variables such as A = 'Apple' and show multi-value assignment in one line, illustrating dynamic typing.

Define a Python class with an init constructor and two instance variables real part and image part; create objects, display their values, and delete attributes or objects.

Explore Python array concepts with lists and numpy arrays, learn indexing and slicing, manipulate arrays with append, remove, and pop, and work with multi-dimensional arrays in practical examples.

Explore Python keywords and identifiers with examples of true, false, none, and, or, not, as, assert, break, continue, class, def, del, and more. Learn how they govern control flow.

Master python tuples, their immutability, and when to use them over lists for heterogeneous data and dictionary keys. Learn indexing, slicing, nesting, concatenation, and count and index methods.

Learn Python sets: unordered, unique elements, and mutable sets; perform union, intersection, difference, and symmetric difference, with conversions between sets and lists and using frozen sets.

Learn how to import Python modules, alias them, and use from import and star to access the pi value from the math module.

Explore python directory and file management with the os module, covering get current working directory, change directory, list directory, and create, rename, and remove files and folders.

Explore Python dictionaries as unordered key-value collections; define and access items, update or add pairs, remove entries, and build dictionaries using comprehension.

Define Python strings with single, double, and triple quotes; index and slice; explore immutability, concatenation, and repetition; format with placeholders and use methods like lower, upper, find, and replace.

Explore Python data type conventions and both implicit and explicit type conversion, showing how int and float interact, and how string to int casting avoids type errors.

Explore Python numbers, including int, float, and complex, and how base representations (binary, hex, octal) work. Learn to use decimal, fractions, math, and random modules for precise, varied calculations.

Explore python namespace and scope using the id builtin to inspect memory addresses, and see how global and nested functions affect variable values in the outer and inner scopes.

Explore Python global, local, and nonlocal variables through concrete examples of scope behavior. Learn how global and nonlocal keywords update variables across nested functions.

Demonstrates how the Python global keyword updates a global variable inside a nested function, showing local x stays 20 while global x becomes 25.

Explore how Python iterators return data one item at a time via __iter__ and __next__, and how iterables, for loops, generators, and comprehensions rely on the iterator protocol.

Learn Python iterations with for loops over lists, tuples, and ranges, printing elements in order, using indentation, and exploring range steps and else blocks.

Explore Python inheritance and polymorphism in object oriented programming with a base bird and a derived penguin, using super to call the base constructor and access can swim.

Explore Python multiple inheritance by defining several base classes and a derived class, showing how the derived object inherits and invokes base methods and prints from all bases.

Explore Python functions with input arguments and return values, including a max finder, default arguments, and arbitrary arguments.

Learn Python functions from def definitions and parameters to user defined versus library functions. See indentation, docstrings, returns, and a menu driven calculator implementing addition, subtraction, multiplication, and division.

Learn how the Python break statement stops an infinite while loop in a number guessing demo, exiting the loop when the random number matches the guess.

Explore how the Python continue statement controls loop execution within a for loop using range, printing only even numbers by skipping odd iterations.

Explore how Python handles errors and exceptions with try, except, and finally blocks, including specific exception types like zero division error and type errors, and how control flows through blocks.

Explore Python exception handling with try, except, and finally, including zero division, value errors, and raised type errors, and how the appropriate except block is chosen for each error.

Demonstrate creating a Python user defined exception with a voter’s eligibility class, showing try-except-else-finally flow and handling type errors when age is not numeric.

Explore Python object oriented programming by defining classes and objects, using constructors, instance variables, and methods; observe inheritance, private members, and encapsulation through parrot, penguin, and price setter examples.

Explore Python operator overloading by implementing a two-dimensional point class with x and y, overriding __str__ and __add__, and overloading __lt__ to compare magnitudes.

Learn how Python statements and comments work, including single line comments with hash, multi line comments, assignment statements, expressions, line continuation with backslash or brackets, and indentation based blocks.

Explains how the Python pass statement serves as a placeholder to reserve future functionality. It does not produce output in a for construct and can be replaced later.

Learn how Python generators simplify iterators by using yield to pause and resume, automatically handling internal state. See examples like a generator that yields values and a reverse string generator.

Explore Python decorators and their role in metaprogramming, showing how decorators wrap functions, modify behavior, and enable the at symbol decorator syntax with examples like make decorated and go divide.

Learn how to implement and control Python while loops, including while else structures, with practical pattern printing such as a dressing table using blanks and stars.

Explore Python conditional statements using if, elif, and else, with proper indentation and colons. Learn how nested ifs classify numbers as zero, positive, or negative and handle age-based conditions.

Learn Python matrix implementation with nested lists, creating a 3x4 matrix, indexing elements (positive and negative), and modifying values while noting shallow copy pitfalls and deep copy concepts.

Master python regular expressions to search, match, and replace strings with the re module, including find all, compile, and sub, for email and phone format validation using raw strings.

Explore Python list comprehension by turning strings into lists, comparing with lambda and for loops, filtering even numbers, and transposing matrices.

Explore Python recursion by implementing a factorial function that uses recursive calls, tracing base cases and backtracking to compute 5!, demonstrating the concept.

learn to print strings and variables, control end and separator behavior, read keyboard input, convert between string and int, and use math.pow via import math for exponentiation.

Understand how shallow copy versus deep copy works in Python by comparing the equal to operator with the copy module, and see how ids and nested objects behave.

Explore how to define anonymous lambda functions in Python with the lambda keyword, double inputs, filter even numbers from lists, and map lambdas to list items.

Explore Python assert statements, boolean checks, and assertion errors through examples like validating non-empty lists before computing an average, with optional error messages.

Explore how Python's @property implements a getter and setter to manage a Celsius temperature with validation and Fahrenheit conversion.