Python for Absolute Beginners® | Zero to Expert 2021

Download python from biton.org, install python 3.9.6 on Windows, note that 3.9+ won’t run on Windows 7, verify with the command prompt, and run a simple hello, world program.

Download the PyCharm community edition from JetBrains, install it, and set up your first Python project with Python 3.8. Use the built-in package manager to install pygame for game development.

Learn how to install Python 3 on Linux, verify installation in the interactive shell, and use pip to install third-party libraries for data visualization, web scraping, and game development.

download and install the PyCharm community edition on Linux, create a Python project with the interpreter, and install third-party libraries like numpy, pandas, and beautiful soup.

Learn to read the Python official documentation, explore modules like the math module, perform square root operations, and compare IDEs such as Visual Studio and Batam, with Bitnami recommended.

Learn how to access and download the Python note from the resource section, review topics like data types and lists, and follow all exercises to master core Python.

Follow a student-centered approach to learn python, completing quizzes, assignments, and coding exercises after each section, while using higher playback speed for theory and normal speed for exercises.

Explore how Python variables function as boxes, how to create them with assignment, naming rules and case sensitivity, and basic data types like int, float, string, bool, and printing values.

Explore Python data types: strings, sets, and numbers. Learn how variables store values with dynamic typing and perform basic string indexing and slicing, including integers, floats, and complex numbers.

Python for absolute beginners introduces lists, dictionaries, and tuples, explaining creation with brackets and braces, and accessing items by indexing, slicing, or keys, including negative indexing for tuples.

Master using comments to explain Python code, including single-line and multi-line styles, and capture and typecast user input with the input function.

Explore Python's operators and operands, mastering integer and float division, addition, subtraction, multiplication, and exponentiation, then extend to math and operator modules for advanced calculations.

Explore boolean and logical operators in python—and, or, not—and learn how truth tables determine true/false results. Understand operator precedence with parentheses, exponentiation, multiplication, division, addition, and subtraction.

Explore boolean algebra as a concept for Python and programming, where propositions are true or false and logical operations apply, noting that distributive law does not apply to boolean logic.

Explore and, or, and not operations in boolean algebra, and learn how to implement them in Python with conditional statements and truth tables.

Explore relational operators in python, including equality, not equal, and comparison logic, and learn de morgan's laws to simplify complex boolean expressions in if statements.

Build a simple Python program that reads a day, uses an if-else to check Saturday or Sunday, and prints the weekend status with input capitalization and boolean logic.

Learn to use a boolean expression connected with the and operation to check whether a number is positive and even in Python, with input and print statements.

Write a Python boolean expression that returns true only when a string contains either plus or minus but not both, using in and not in operators, by looping through strings.

Explore python modules, including built-in and user-created ones. Import and alias modules, call functions like sqrt and max, and import your own modules to reuse code.

Explore the Python random module, import specific functions, and apply random, choice, sample, and seed to generate random numbers and build a secure password generator.

Explore the Python math module by importing it and using round, floor, and ceiling; convert between degrees and radians for trig operations and handle infinity and not a number.

Learn to work with Python lists: create, modify with append, extend, insert, remove, and reverse; slice with indexing, and use in, len, count, sort, copy, and all/any.

Write an algorithm to return the index of the largest element in a list without built-in functions, using a linear scan that updates the largest value and its zero-based index.

Swap X, Y, Z in a single Python line using multiple assignment. Print before and after; X becomes Y, Y becomes Z, and Z becomes X.

Implement an in-place list reversal without using a built-in reverse method by swapping symmetric elements from ends toward the center, looping only until the middle via integer division.

build a Python function for lists of four or more elements that finds the three-element window with the greatest sum and returns the middle element's index.

Implement a function to compute the intersection of two integer lists, returning the common elements, such as four and five, using a loop and membership checks.

Explore Python dictionaries as key-value structures, create and modify them with braces or dict(), and access values by keys, including nested lists and keys() and values() methods.

Learn how dictionaries differ from lists by using keys to access values, with curly braces, case sensitivity, and assigning new keys to add data.

Learn to determine if a name and password pair exists in a dictionary by converting the dictionary to iterable key-value tuples with the items method and matching the pair.

Reverse a dictionary by swapping keys and values with a dictionary comprehension, turning values into keys and keys into values using dict.items(), assuming unique values.

Learn to create and manipulate strings in Python, applying upper, lower, capitalize, title, translate with a translation table, format with placeholders, split, join, slice, and checks like isalpha and isdigit.

Learn how to format strings in Python using the format method, including placeholders, positional indexing, and named fields, and apply floating point precision with format specifiers.

Develop a rock, paper, scissors game in Python that takes user input, uses random to simulate the computer’s move, and tracks the cumulative score while explaining the rules.

Implement a rock, paper, scissors game in Python using random.choice for the computer move, read user input, and loop until exit while tracking scores.

implement rock, paper, scissors logic in python to determine when player wins, loses, or draws. show how to quit the game by breaking the loop when the user chooses quit.

Add a quit option to the rock paper scissors game by reading user input, exiting the while loop when q is entered, and handling invalid inputs with clear prompts.

Add score tracking to the rock, paper, scissors game by updating the player and computer scores after each round, including ties, and print the current and final scores on exit.

Explore Python file handling by loading a text file of EU capitals, building a dictionary, and creating a 10-question capitals quiz with read, write, and append operations.

Open the file from resource section, read content line by line using a with block, split each line on the colon, strip whitespace, and store key-value pairs in a dictionary.

Create 10 unique sample quiz questions by selecting random European country capitals from a dictionary, present prompts to the user, and score correct capital city answers.

Implement a Python quiz that checks user answers against correct ones, tracks score, and uses strip and capitalize to handle case and whitespace.

Discover how Python uses indentation and whitespace to define blocks for conditions, functions, loops, and classes, ensuring readability and preventing errors from mis-indented code.

Learn how Python conditionals control program flow with if, elif, and else, using boolean comparisons, user input, and practical weather examples.

Learn how while loops repeat code until a condition is met, including counter updates, printing outputs, and using break and continue to control termination.

Learn to compute the sum of integers from 1 to n with a loop in Python, by iterating from 1 to n and accumulating the total in a result variable.

Compute the sum of odd numbers to N using loops by updating the result with each new odd value, starting at one and increasing by two to maintain odd integers.

Learn to print all positive multiples of six up to a user-specified maximum, using a while loop that increments by six and stops at the boundary.

Implement a Python factorial program using a loop that multiplies the running result by each value from 1 to n, with zero factorial defined as one.

Practice a Python looping exercise that computes three sums: 1) sum 1 to 20, 2) sum of squares 1 to 20, 3) a division-based sum, then print the history.

Optimize the previous Python exercise by merging a three-loop pattern into a single loop, reducing time complexity while preserving the same result and boundary conditions.

Explore how Python for loops iterate over lists, ranges, strings, and dictionaries. Learn flow controls with break, continue, nested loops, and enumerate for indexed iteration.

Master list and dictionary comprehensions in Python by writing concise one-line expressions that map or transform items from iterables, with optional conditions, producing lists or dictionaries.

Represent vectors and matrices in Python using lists. Treat vectors as one-dimensional and matrices as two-dimensional, formed by nested lists with rows and columns.

Learn to access elements of a vector and a matrix in Python using indexing on simple lists and nested lists, with zero-based indexing for rows and columns.

Write a matrix sum function that computes the total of all elements in a nested list representing a matrix by iterating over rows and their elements, distinguishing matrices from vectors.

Write a Python function that returns the index of the element in a numeric vector closest to its mean, computed as the sum divided by the number of elements.