Python Developer Bootcamp - Beginner to Expert

Explore Python, a high-level, object-oriented language known for its ease of use, simple syntax, and thriving open-source ecosystem, powering data science, AI, web development, and more.

Set up python development in VS Code by creating a project folder, installing the Python extension, Code Runner, and Error Lens, and configuring autopep8 and pylint for formatting and debugging.

Learn to write, format, and run Python code across editors and terminals. Practice print statements, saving files, code runner extension on Mac and Windows, single-line comments, multi-line comments, and docstrings.

Discover command line basics across Mac and Windows, including pwd, ls, cd, and mkdir, then explore the Python interactive shell (Python or Python3) for calculations and variables.

Discover how Python variables store data in memory, handling strings, numbers such as integers and floats, and booleans like true or false, with examples of print and variable naming.

Learn how to name variables in Python with snake case, lowercase letters, and underscores, following pep8 standards; compare with camel case and ensure names start with a letter or underscore.

Explore data types in Python, from integers, floats, and booleans to strings, lists, dictionaries, tuples, and sets, and learn how to use type() to identify classes and instances.

Explore Python data types: lists, dictionaries, tuples, and sets, emphasizing mutability, ordered lists and tuples, unordered sets, key-value retrieval, and iteration.

Learn how Python strings are objects and how to call string methods to measure length, access characters by index, concatenate, apply upper, lower, title, strip, find, replace, and in checks.

Explore None type, the absence of a value, and practice using f-strings for formatted strings to replace concatenation. Learn when to declare variables as None and later fill them.

Explore escape characters and escape sequences in Python, learn how to fix syntax errors with quotes, and use backslashes to include quotes, backslashes, and line breaks in strings.

Explore number methods and operations in Python, including arithmetic, modulus, remainder with double slashes, and power, plus augmented assignment, round, absolute, and math module usage with sine and cosine.

Capture user input with python's input(), which yields a string, and perform type conversion to int or float. Understand boolean truthy and falsy values; zero and empty string are falsy.

Learn how Python namespaces map names to objects, explore variable scope, and see how id and memory address reveal object identity, including numbers, lists, and functions.

Explore how Python namespaces organize names across built-in, module, and global scope. Learn how inner and outer functions access and modify variables, and why the global keyword is discouraged.

Explore Python input and output by using print and input, format strings, and type conversion between strings and integers in the interactive shell and scripts.

Explore Python's comparison operators, greater than, greater than or equal to, less than, less than or equal to, and not equal, and their boolean expressions and numeric representations via ord.

Master conditional statements in Python by using if and else with boolean expressions and indentation to control flow, including single and multiple condition checks and boundary considerations.

Learn how to use the ternary operator in Python to assign a 'passed' or 'failed' result based on whether a score is at least 75, improving code readability.

Explore how and, or, and not logical operators in Python evaluate boolean expressions, using loan scenarios with high income, good credit, and student status.

Learn to use for loops in Python, applying the dry principle to repeat tasks with a loop variable and range to print numbers from start to end with a step.

Learn how nested loops work in Python by nesting a for loop inside another to generate and print x, y, and z coordinates.

Explore iterables in Python, including range objects, strings, and lists, and learn how to iterate with for loops while prioritizing readable, human-friendly output for real-world applications like user data.

Explore while loops as condition-based repetition and see how to avoid infinite loops by updating the variable and using augmented assignment to decrement.

Learn how infinite loops occur when a loop lacks an ending condition, why they crash apps, and how to set a proper starting point and ending point in while loops.

Learn how to define and wake functions in Python using def, parentheses, and indentation, then call them to execute logic, print outputs, and loop over ranges.

Define functions with parameters to enable reusability and pass arguments for arithmetic operations, showing required positional arguments and optional parameters and using if statements in a driving age example.

Compare function types by showing return-value functions and task-performers. Practice defining functions, returning strings, and using keyword arguments for clear parameter mapping and reuse.

Learn to use required and optional parameters in functions, with default arguments making parameters optional and placed last to avoid syntax errors, and how to override defaults.

Master non keyword arguments using star args to collect an arbitrary number of inputs into a tuple, and understand keyword arguments versus parameters and type errors.

Learn how to pass keyword arguments using two stars, contrast with non-keyword arguments, and see functions collect them as dictionaries, illustrated with an employee example and a to do list.

Explore scope by distinguishing local and global variables in Python. Local variables stay inside a function; accessing them externally causes name errors, while global variables risk bugs and slow performance.

Explore debugging Python code by stepping through a subtract function, iterating over a tuple with a for loop, and using breakpoints, launch.json, and debugger to identify and fix a bug.

Explore lists in Python, learn list syntax with brackets and quotes, and practice nesting and concatenation, including numbers, strings, booleans, and printing results.

Learn the list method, the second way to create lists with list(), see range from 0 to 100, and convert strings to lists of characters with LEN.

Explore Python list operations by accessing and modifying items via zero-based indices, practice slicing with start to end and step, and reverse lists using negative stepping.

Learn list unpacking in Python by assigning items to variables and packing the rest into another list, exploring first, middle, and last item patterns.

Learn to loop over lists with a for loop, printing each letter from letters list. Use enumerate to pair items with indices and unpack tuples when iterating indices and items.

Learn how to modify Python lists using append, insert, pop, remove, and del, with numbers, names, and fruits to demonstrate practical list item operations.

Learn how to modify lists in Python by clearing all items, reversing order, and joining items into strings with various separators, illustrated with fruits, names, and numbers.

Discover how to locate list items with the index method, prevent value errors by checking membership and using count, with examples using fruits and numbers.

Master list comprehension expressions to create modified lists in one line, including doubling numbers, performing arithmetic operations, and extracting first items from product tuples for e-commerce data.

Learn to add conditionals to list comprehension expressions, filtering product prices ≥ 20 and transforming numbers using a conditional rule for numbers greater than 100 or dividing by two.

This lecture demonstrates how to swap list items in a Python list by reassigning indices, showing that values move while the list order updates, including a full name swap example.

Dictionaries in Python store key-value pairs with immutable keys and values of any type, shown through contacts and employee info, and created via dict with keyword arguments.

Learn to access dictionary values with bracket notation, add or remove entries, and handle missing keys using if key in dict or the get method with defaults.

Explore dictionary methods including clear, copy, and fromkeys, illustrated with a richly typed Python dictionary and examples of shallow copies and key conversion.

Explore dictionary methods items and keys in Python, and see how items returns a view object of tuple key-value pairs that reflects changes to the original dictionary.

Explore dictionary methods values, popitem, and setdefault in Python. See values reflect deletions; popitem removes last pair in 3.7+; setdefault creates missing keys with defaults.

Master dictionary manipulation by using pop to remove and return items with a default when missing, and update to merge keys from a dictionary or keyword tuples.

Explore dictionary comprehension in Python, learn its concise syntax, iterate with for loops, use items to unpack key-value pairs, and apply conditional logic to build dictionaries.

Explore advanced dictionary comprehensions in python, including multiple if conditions, false conditionals, and nested dictionaries built from a names-and-ages dictionary using items and for loops.

Iterate over dictionaries with for loops, print keys, and access values using dictionary[key] to retrieve fields like last name, address, job, and age.

Discover Python tuples as an immutable data type that stores heterogeneous items in parentheses, from empty tuples to mixtures of dicts, lists, numbers, booleans, and even other tuples.

Explore tuple packing and unpacking: pack values into a tuple and unpack them into variables, and learn how a trailing comma turns a single item into a tuple in Python.

Learn how to access tuple items using indexing and the bracket operator, handle index errors and type errors, apply negative indexing, and slice tuples with the colon operator.

Explain that tuples are immutable in Python, yet a list inside a tuple can be modified. Show reassignment, repetition, concatenation, and deletion of a tuple using del.

Explore Python tuples and their immutability, and learn two methods: count to tally occurrences and index to find an item's position; non-existent items yield zero.

Perform tuple membership tests and iterate over tuples with a loop to print colors, I like the color green, while noting tuples' immutability and faster iteration over lists.

discover how python sets are mutable containers with immutable items, never duplicates, and unordered behavior, and how to create sets from tuples, lists, and dictionaries with basic operations like union.

Explore how to modify sets using add for single items and update for multiple items, noting sets are unordered, indexing is not supported, and duplicates are avoided.

Explore removing items from a Python set using discard and remove, compare their behavior when items do not exist, and demonstrate pop and clear to manipulate sets.

Explore set operations on two sets, A and B, including union, intersection, difference, and symmetric difference, using operators and methods.

Explore copying a set versus shallow copy, showing how assignment creates references and how the copy method preserves the original, then use the disjoint method to test no common elements.

Explore subset and superset relations with boolean results, showing how A and C can be subsets of B and how B becomes a superset of A or C.

Test set membership with the in operator on a set of numbers 1, 2, 3, 4, showing true for 1 and false for 5 and 'a', and sets are iterable.

Discover frozen set, immutable version of a set that cannot change after creation and can be used as dictionary keys, with frozenset constructor and methods like copy, difference, and union.

Explore set comprehensions in Python by creating sets with curly braces and expressions, using range to generate numbers and applying exponentiation to obtain squares and cubes.