Learning Predictive Analytics with Python

Master Python fundamentals for predictive analytics, covering variables, data types, loops, arrays, and data structures, plus object oriented programming, file handling, and database access.

Install VSCode and Python from official sites, set environment variables, verify installation with Python in the terminal, and create a hello.py that prints hello world in VSCode.

Learn python variables and operators, including assignment and arithmetic, and print strings with new lines using backslash n and f-strings. Understand variable naming rules, comments, and indentation errors.

Explore bitwise, logical, and comparison operators in Python, learning binary representation, bitwise operations (and, or, xor, not, left shift, right shift), and how to apply comparison logic.

Learn Python data types, including int, float, complex, boolean, and str, and use the type function and type casting to convert values for data processing.

Learn how to define and call Python functions using def, pass numbers as parameters, and return values; explore arbitrary arguments with *args, keyword arguments with **kwargs, and lambda functions.

Master Python lists by creating and indexing with square brackets, using zero-based indices, and applying list methods like append, insert, index, pop, remove, reverse, sort, copy, clear, extend, and count.

Learn tuples as ordered, immutable Python collections similar to lists, with indexing and counting. Convert to a list to update, then back to a tuple, and unpack with asterisk flexibility.

Learn Python sets, their unordered nature and no duplicates, and add, remove, discard, pop, copy, union, and intersection. Explore difference, symmetric difference, their updates, and subset, superset, and disjoint checks.

Master Python dictionaries by exploring key-value pairs, nested structures, and common methods like copy, get, keys, values, items, update, pop, setdefault, and clear.

Explore Python string operations, including capitalize, lower, center, join, and format, to manipulate text. Apply methods like find, replace, translate, partition, split, isalpha, isdigit, zfill, and strip.

Master Python conditional logic with if statements, if-else ladders, and ternary-style patterns; apply to examples like comparing numbers, deciding games by weather and friends, and building a tennis condition ladder.

Explore how a while loop runs while a condition is true and stops when it becomes false. See how to index lists, print items, and use break to exit early.

Master Python for loops and list comprehension to iterate over iterables and dictionaries, using range, starting points, steps, and unpacking items, with loop-else and break behaviors.

Learn object oriented programming concepts in Python, building on the basics, using recent pre-recorded videos that remain applicable today.

Explore object oriented programming in Python, comparing it to functional programming, and learn how classes and objects enable code reuse, security, and easier testing through inheritance, abstraction, encapsulation, and polymorphism.

Define an employee class in Python with attributes name, id, salary, and role; initialize via __init__, manage instance variables, and implement setter and getter to update and retrieve salary.

Examine inheritance, abstraction, and encapsulation in Python, including public, protected, and private variables, getters and setters, and name mangling. Apply super, overrides, and polymorphism in subclasses.

Explore Python decorators that extend a function's behavior without modification by wrapping it in a wrapper. See how to convert messages to uppercase before printing.

Create a command line app in Python that models a book library with person, author, and reader classes, uses packages, stores data in files, demonstrates object oriented concepts and decorators.

Install the uuid package with pip and create a Python Book class that assigns a uuid4 id, stores the title, author, and price, and saves books to a JSON file.

Learn how to build a reusable JSON file handler in Python, manage file paths with os.path, read and write text data, append content, and delete files safely.

Learn to implement a json file handler in Python to perform create, read, update, and delete operations for a book class, including serialization, storage path management, and duplicate checks.

Create a person base class in Python and extend it with author and reader roles. Implement constructors, get details, and json file handling to manage user data, ids, and relationships.

Write and run the main.py script to drive a Python app, offering a CLI menu for CRUD operations on books and authors, with input validation and admin-style controls.

Build a Python random forest model to predict the winner between two pokemons using battle data, train with an 80/20 split, and evaluate with accuracy and F1 score.