Complete Python Bootcamp for Absolute Beginners:Zero to Hero

Explore how Python uses variables as memory locations to store values, assign with the equals sign, and automatically determine data types like strings, integers, and complex numbers.

Learn how to name variables in Python with rules that promote clear, debuggable code using snake_case with letters, digits, and underscores, avoid starting with numbers, and avoid reserved keywords.

Choose a naming convention for Python variables, such as camelcase or snake_case, and apply it consistently while keeping names short and readable.

Learn how to write comments in Python by using the hash mark; anything after it is ignored by the interpreter. Add meaningful notes to explain your approach as programs grow.

Learn how to use Python arithmetic operators, including addition, subtraction, multiplication, division, modulus, floor division, and exponent, with practical examples and operand concepts.

Learn Python comparison operators, also called relational operators, including equal, not equal, greater than, less than, greater than or equal to, less than or equal to, yielding boolean results.

Learn how Python assignment operators update a left-hand variable with the right-hand expression, including addition, subtraction, multiplication, division, remainder, exponent, and floor division.

Explore how Python logical operators and, or, and not evaluate multiple conditions in a temperature range scenario. Learn to cast input to int, compare ranges, and print results.

Learn to create and use strings in Python with single, double, or triple quotes. Use the opposite quote type to include internal quotes and employ triple quotes for multi-line strings.

Use f-strings to insert variable values into Python strings by prefixing with f and wrapping variables in braces, creating dynamic greetings from name and job variables.

Master Python string indexing and slicing. Access characters with zero-based and negative indices to extract letters and learn about index out of range errors.

Master Python string slicing with the colon operator to extract substrings. Learn how start indices are inclusive, end indices exclusive, and how a third stride parameter can skip characters.

Reassign strings in Python by assigning a new string. Strings are immutable and do not support item assignment, so avoid partial replacements and use full string reassignment.

Learn string formatting in Python using the format method, including positional arguments, named indices, and empty placeholders, with practical examples of Python, JavaScript, and Java.

Learn how to change the case of strings in Python using the upper, lower, and title methods, with practical examples of printing and formatting names and countries.

Explore typecasting in Python by converting between int, float, and str using the int, float, and str functions, with examples and common errors.

Explore how Python lists store data types, remain mutable, defined with square brackets and commas. Use student scores and domestic animals to illustrate numbers without quotes and strings with quotes.

Learn how to access list elements through indexing and splitting, using zero-based positions and the square-bracket syntax, illustrated by an animals list and the potential index out of range error.

Learn how to get the length of a list with the len function and print it to see how many items are in the animals list.

Access each item in a list by looping with a for loop, using a singular variable name and a plural list name, then print each item.

Check if an item is in a list and append it only when missing, using in, append, and insert as shown with Brian.

Learn to create a sublist from a list using the slice operator with start, stop, and step, and grasp how zero-based and negative indices work.

Learn to add items to a Python list with append to the end and insert for any position, demonstrated through a student list example including literals and variables.

Learn how to remove items from a Python list using the remove method, removing by value with the first occurrence, and remove by position.

Learn how to modify elements in a Python list using the assignment operator and index, replacing Mars with Red Planet in a zero-based planets list.

Learn to combine Python lists with the extend method, merging inner and outer planet lists into an ordered list while noting that extend mutates the first list and ordering matters.

Explore the characteristics of Python lists: they are ordered, index-accessible, and mutable, can store numbers, strings, and floats, and require ordering to match during comparisons.

Engage with a four-question Python list coding challenge that reinforces list creation, element retrieval, list expansion, and inserting Mango at the fourth index position.

Master Python lists by solving a coding challenge: access the fourth element by index, append new items, and insert at a specific position using fruit examples.

Learn how Python dictionaries store related information as key-value pairs, access and modify data, loop through items, and model real-world objects with unique keys.

Create dictionaries in Python using curly braces and key value pairs, explore syntax, keys, values, and mappings of ports to their protocols.

Access and manipulate dictionary items by using keys to retrieve, add, update, and delete values, and understand key errors when a key is missing.

Learn to use dictionary.pop to remove a key and return its value (with a default if missing), dictionary.popitem to remove the last pair, and dictionary.clear to empty the dictionary.

Update dictionary values by key using square brackets and assignment when changing port 23 from smtp to telnet. The lesson then covers adding a new item to the dictionary.

Learn to use the dictionary get method to retrieve a key's value, with a default when the key is missing, and see None when no default is provided.

Learn how to use the dictionary copy method to create a shallow copy of a Python dictionary, compare it with assignment, and inspect memory addresses.

Explore the Python dictionary get() method to retrieve values with an optional default when keys are missing, see its syntax, and understand behavior when no default is provided.

Discover how Python's dict setdefault retrieves a value for an existing key and inserts a key with a default when missing. If no default is provided, it returns None.

Apply the dictionary update method to merge port two into port one, and observe how common keys in dictionary one are overwritten by dictionary two in the resulting dictionary.

Solve a coding challenge by writing Python code that accepts a food name and returns its price, using a dictionary of at least four items.

Implement a Python program that accepts a food name via input and returns its price using a dictionary, with the get method and the title method to ensure title case.

Learn about Python tuples, an ordered, immutable data type; create a tuple of the months of the year with parentheses, and access values by positive or negative indices.

Python tuples are immutable; you cannot update elements, but you can create new tuples by concatenating existing ones or combining portions. Attempts to assign items raise a TypeError.

Learn how to iterate through a Python tuple using a for loop to print each language in a languages tuple, including Python, Swift, Cplusplus, Java, and JavaScript.

Learn Python sets as unordered collections of unique elements that ignore duplicates and support data types, with no index, printing in any order, and the ability to modify after creation.

Explore Python set methods, including add, clear, pop, remove, difference, difference_update, intersection, isdisjoint, union, subset, and superset, with practical examples like adding orange and removing apple.

Explore Python set methods including difference, difference update, intersection, is disjoint, union, is subset, and is superset, demonstrated with fruit sets to compare and combine contents.

Learn to accept user input with input function, prompting and storing the response in a variable. Convert input to numbers with int for numerical comparisons such as age.

Learn to take multiple inputs in python using the split method and list comprehension, with examples for two and three values, and casting inputs with map to a list.

Learn how to collect multiple inputs in Python with list comprehension, handling any number of inputs via split and int, and display results with f-strings.