Introduction to Python Programming Python is a great language to learn It s one of the most popular programming languages out there with a strong community of users and developers With Python you can do all sorts of cool things from automation to AI Why Learn Python Python is easy to read and write Its syntax is straightforward and easy to understand even for beginners Python is versatile You can use it for web development data analysis machine learning and more Python is in high demand Many companies are looking for Python developers so learning Python can lead to great job opportunities Introduction to Python Python is a popular programming language used for automation AI and web development The course covers core Python concepts and includes three projects including building a website with Django Python can be learned in 3 5 months and job opportunities exist in various elds such as web development and machine learning Variables are used to store data in computer memory and their values can be accessed using their assigned labels Starting with Python This is a comment in Python print Hello World This line prints Hello World to the console When you run this program it will print Hello World to the console From here you can start learning more about Python by reading tutorials taking courses and practicing writing your own code Python is a popular programming language used for building applications and websites including popular ones like Instagram and Dropbox If you re interested in pursuing a career in programming learning Python is a great place to start In this course I will be teaching you the basics of Python and how to build three Python projects from scratch Throughout the course we will cover all of the core concepts in Python including data types variables functions loops and conditional statements We will also be using Python libraries and frameworks to build our projects Variables and Data Types in Python Python interpreter executes code line by line from the top allowing for variable updates and printing Python has di erent data types including integers oats strings and booleans Python is case sensitive except for the special keywords True and False Strings in Python Using double quotes instead of single quotes to de ne strings with single quotes in them Using triple quotes to de ne strings that span multiple lines Using square brackets to access characters or a range of characters in a string Using formatted strings to dynamically insert variables into a string Using built in functions and methods to manipulate strings such as len upper lower and nd Strings and Numbers in Python Beginners with a capital B Using the replace method to replace characters or sequences of characters in a string Using the in operator to check the existence of a character or sequence of characters in a string If Statements and Comparison Operators in Python If statements in Python allow for conditional execution of code based on certain conditions Comparison operators such as greater than less than and equal to are used to compare values in if statements Logical operators like and or and not are used to combine multiple conditions in if statements Using Loops in Python Checking Conditions and Repeating Code Checking the upper limit of a name length and displaying di erent messages based on the length Converting weight from pounds to kilograms and vice versa based on user input Using a while loop to execute code multiple times and building a guessing game Using For Loops in Python to Iterate Over Collections In Python the else block in a loop can be used to provide feedback to the user when their guesses are incorrect In a simulation card game the focus is on building the game engine rather than the graphical user interface For loops in Python are used to iterate over items in a collection such as a string or a list Using For Loops in Python and Nested Loops For loops are used to iterate over items in a collection in Python Nested loops can be used to generate lists of coordinates or perform other complex tasks Lists in Python can be accessed using indexes and modi ed using square brackets Lists and Tuples in Python Explains how to nd the maximum number in a list using a for loop Demonstrates how to create and access items in a two dimensional list Using Unpacking and Dictionaries in Python Unpacking in Python allows for storing values from a tuple or list into separate variables Dictionaries in Python are used to store key value pairs and can be accessed and updated easily Dictionaries can be used to map characters or words to emojis or other values Creating Functions and Returning Values Functions are used to organize code into smaller reusable chunks Parameters and arguments are used to pass information to functions Keyword arguments can improve code readability when dealing with numerical values Functions can return values which is useful for calculations Handling Errors and Using Comments in Python Using the return statement in a function allows us to return values to the caller By default all functions in Python return None but this can be changed using the return statement Reorganizing code using functions allows for code reuse and better organization The Importance of Comments and Introduction to Classes and Inheritance in Python Comments should be used to explain why and how not repetitive information Classes are used to de ne new types in Python and can have methods and attributes Inheritance allows code reuse and avoids duplication by inheriting methods from a parent class Organizing Code with Inheritance Modules and Packages in Python Inheritance allows for code reuse and prevents duplication of code Modules are used to organize code into separate les for better structure and reusability Packages provide a way to organize related modules within a directory for larger projects Directories in Python A package in Python is a directory or folder that contains multiple modules Creating a package involves adding a new directory and a special le called init py Python has a standard library with built in modules for common tasks like generating random values File Paths and Python Packages There are two ways to reference a le or directory path absolute and relative paths Python s standard library is comprehensive but there are additional packages available on pypi org for more speci c tasks You can install packages from pypi org using the pip command in the terminal Python can