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# Python SQL Database Study Guide | |
# Author: Charles Markovich | |
# Publish Date: 5/21/2024 | |
# Summary: | |
# This study guide covers the basics and advanced topics of using SQL databases with Python. | |
# It includes real-world examples and commonly used techniques to help beginners and advanced | |
# users understand how to interact with SQL databases using Python. The guide is structured | |
# with inline comments for clarity and three blank lines between code examples for better readability. |
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# Python Data Types And Variables Study Guide | |
# Author: Charles Markovich | |
# Published: 5/21/2024 | |
# Summary: | |
# This study guide covers the fundamental concepts of data types and variables in Python. | |
# It starts with basic concepts suitable for beginners and progresses to more advanced topics. | |
# Understanding these concepts is crucial for real-world applications, as they form the foundation | |
# for writing efficient and effective Python code. |
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# Python Iterating Over Lists And Dictionaries Study Guide | |
# Author: Charles Markovich | |
# Published: 5/21/2024 | |
# Summary: | |
# This study guide covers the basics and advanced topics of iterating over lists and dictionaries in Python. | |
# These are fundamental skills for any Python programmer, as they are used in a wide range of real-world applications, | |
# from data processing to web development. Understanding how to efficiently iterate over these data structures | |
# can significantly improve the performance and readability of your code. |
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# Python Lambda Functions Study Guide | |
# Author: Charles Markovich | |
# Published: 5/21/2024 | |
# Summary: | |
# Lambda functions, also known as anonymous functions, are a powerful feature in Python that allows you to create small, throwaway functions without needing | |
# to formally define them using the `def` keyword. They are commonly used in situations where a simple function is required for a short period, such as in | |
# functional programming, data processing, and as arguments to higher-order functions. This guide will help beginners understand the basics and provide advanced | |
# examples for more experienced users. |
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# Python Namedtuples Study Guide | |
# Author: Charles Markovich | |
# Published: 5/21/2024 | |
# Summary: | |
# Namedtuples in Python provide a way to create simple classes that are primarily used to store data. | |
# They are an extension of the built-in tuple data type and allow for more readable and self-documenting code. | |
# Namedtuples are often used in scenarios where you need to group related data together and access it by name rather than by index. | |
# This study guide will cover the basics of namedtuples, including creation, default values, conversion to dictionaries, nesting, and extending namedtuples with methods. | |
# These concepts are essential for real-world applications such as data manipulation, serialization, and representing complex data structures. |
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# Python Classes Study Guide | |
# Author: Charles Markovich | |
# Published: 5/21/2024 | |
# Summary: | |
# This study guide covers the basics and advanced topics of Python classes. | |
# It is designed to help beginners understand the fundamental concepts and | |
# gradually move towards more complex real-world applications. | |
# Classes are a core concept in object-oriented programming (OOP) and are | |
# used to create reusable code templates for objects. They encapsulate data |
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# Python Functions Study Guide | |
# Author: Charles Markovich | |
# Published: 5/21/2024 | |
# Summary: | |
# This study guide covers the topic of functions in Python, starting from the basics and moving towards more advanced concepts. | |
# Functions are fundamental building blocks in Python, allowing for code reuse, modularity, and better organization. | |
# They are widely used in real-world applications for tasks such as data processing, web development, automation, and more. | |
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# Python Logging Study Guide | |
# Author: Charles Markovich | |
# Published: 5/21/2024 | |
# Summary: | |
# This study guide covers the basics and advanced topics of logging in Python. | |
# Logging is essential for tracking events that happen when some software runs. | |
# It can be used for debugging, monitoring, and auditing purposes in real-world applications. | |
# This guide will help beginners understand how to implement logging and also cover advanced | |
# topics for more complex use cases. |
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# Python Naming Conventions Study Guide | |
# Author: Charles Markovich | |
# Published: 5/21/2024 | |
# Summary: | |
# This study guide covers the naming conventions in Python, which are essential for writing clean, readable, and maintainable code. | |
# Proper naming conventions help in understanding the code better and make collaboration with other developers easier. | |
# This guide starts with basic conventions and progresses to more advanced topics, providing real-world examples and use cases. | |
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# Python Functional Programming Study Guide | |
# Author: Charles Markovich | |
# Published: 5/21/2024 | |
# Summary: | |
# This study guide covers the basics and advanced topics of functional programming in Python. | |
# Functional programming is a programming paradigm where programs are constructed by applying and composing functions. | |
# It is widely used in real-world applications for its ability to create more predictable and maintainable code. | |
# This guide will help beginners understand the core concepts and provide advanced examples for experienced developers. |
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