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Introduction to Python Programming
Python is a great language to learn
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With Python, you can do all
sorts of cool things, from automation to AI
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Its syntax is straightforward and easy to
understand, even for beginners
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You can use it for web development, data analysis, machine
learning, and more
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Many companies are looking for Python developers, so
learning Python can lead to great job opportunities
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The course covers core Python concepts and includes three projects, including building a
website with Django
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Variables are used to store data in computer memory, and their values can be accessed using
their assigned labels
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From here, you can start learning more about Python by reading tutorials, taking courses,
and practicing writing your own code
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If you're interested in pursuing a
career in programming, learning Python is a great place to start
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Throughout the course, we will cover all of the core concepts in Python, including data
types, variables, functions, loops, and conditional statements
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Variables and Data Types in Python
Python interpreter executes code line by line from the top, allowing for variable updates and
printing
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Python is case sensitive, except for the special keywords 'True' and 'False'
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Using triple quotes to define strings that span multiple lines
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Using formatted strings to dynamically insert variables into a string
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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
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Logical operators like 'and', 'or', and 'not' are used to combine multiple conditions in if
statements
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In a simulation card game, the focus is on building the game engine rather than the graphical
user interface
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Using For Loops in Python and Nested Loops
For loops are used to iterate over items in a collection in Python
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Lists in Python can be accessed using indexes and modified using square brackets
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Dictionaries in Python are used to store key-value pairs and can be accessed and updated
easily
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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
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Reorganizing code using functions allows for code reuse and better organization
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Classes are used to define new types in Python and can have methods and attributes
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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 files 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
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py
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File Paths and Python Packages
There are two ways to reference a file or directory path: absolute and relative paths
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org for more specific tasks
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org using the pip command in the terminal
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Introduction to Data Frames and Jupiter Notebook
Data frame is a two-dimensional data structure similar to an Excel spreadsheet, commonly
used in machine learning and data science projects
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Jupiter notebook can be installed through the Anaconda platform, which also includes
popular data science libraries like NumPy and Pandas
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Insufficient training data leads to poor model performance
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Decision trees are visualized as a binary tree for understanding model predictions
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Installing Django and Creating a Django Project
To install Django, use pip and specify the version with '=='
Creating a Django project using the 'django-admin startproject' command
Exploring the files and folders in a Django project

Project 1: Grocery Store Website
In this project, we will learn how to create a beautiful website for an imaginary grocery
store
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Create a homepage with all the products displayed
Add a search bar to allow customers to search for specific products
Implement a shopping cart feature that allows customers to add and remove items
from their cart
Create a checkout page where customers can enter their shipping and billing
information



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