🔅 Python vs. R for Data Science
🔊 Author: Lavanya Vijayan
🔸 Date: 2021-10-04
⏰ Duration: 39m
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📗 Topics: R, Python
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🔊 Author: Lavanya Vijayan
🔸 Date: 2021-10-04
⏰ Duration: 39m
🌀
Learn about the pros and cons of using Python and R, two common programming languages, when working on data science projects.📗 Topics: R, Python
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🔸 Full description 🔸
Python and R are common programming languages used when working with data. Each language is powerful in its own way; however, it's important that you select the language that will best help you achieve your end result. In this course, data scientist and coding instructor Lavanya Vijayan helps you make this choice, sharing important considerations for using each language in various circumstances. Lavanya starts by going over the background of both languages, as well as the strengths and disadvantages of each in different scenarios. She then walks through the process of working on a data science project and how you'd handle the data at various stages using Python and R. Lavanya then covers how to analyze data using both languages. She rounds out the course by discussing the use cases that play to each language's strengths. By the end of this training, youll have the essential information you need to determine whether Python or R is right for you.This course was created by Madecraft. We are pleased to host this training in our library.
Python and R are common programming languages used when working with data. Each language is powerful in its own way; however, it's important that you select the language that will best help you achieve your end result. In this course, data scientist and coding instructor Lavanya Vijayan helps you make this choice, sharing important considerations for using each language in various circumstances. Lavanya starts by going over the background of both languages, as well as the strengths and disadvantages of each in different scenarios. She then walks through the process of working on a data science project and how you'd handle the data at various stages using Python and R. Lavanya then covers how to analyze data using both languages. She rounds out the course by discussing the use cases that play to each language's strengths. By the end of this training, youll have the essential information you need to determine whether Python or R is right for you.This course was created by Madecraft. We are pleased to host this training in our library.
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🔅 From Java to Python OOP: Bridge the Gap for Java Developers
🔊 Author: Deepa Muralidhar
🔸 Date: 2022-02-04
⏰ Duration: 1h 7m
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📗 Topics: Python, Object-Oriented Programming
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🔊 Author: Deepa Muralidhar
🔸 Date: 2022-02-04
⏰ Duration: 1h 7m
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Learn about the object-oriented programming (OOP) features in newer versions of Python and compare them with Javas capabilities to help you grasp the concepts and syntax.📗 Topics: Python, Object-Oriented Programming
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👍10❤1
🔸 Full description 🔸
Most programmers are familiar with object-oriented programming (OOP), but do you know how it applies to Python? In this course, instructor Deepa Muralidhar trains Java developers in Python OOP. Deepa first introduces the key terms you will need to know. Then she walks you through class design, methods (including overloading), abstraction, inheritance, and more. Deepa goes in-depth on class design, with important details on Java syntax and Python syntax. Plus, she shows you Java syntax, Python syntax, abstract classes, and more with the correct inheritance text.
Most programmers are familiar with object-oriented programming (OOP), but do you know how it applies to Python? In this course, instructor Deepa Muralidhar trains Java developers in Python OOP. Deepa first introduces the key terms you will need to know. Then she walks you through class design, methods (including overloading), abstraction, inheritance, and more. Deepa goes in-depth on class design, with important details on Java syntax and Python syntax. Plus, she shows you Java syntax, Python syntax, abstract classes, and more with the correct inheritance text.
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🔅 Advanced Python: Working with Databases
🔊 Author: Kathryn Hodge
🔸 Date: 2023-05-11
⏰ Duration: 2h 6m
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📗 Topics: Databases, Python
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🔊 Author: Kathryn Hodge
🔸 Date: 2023-05-11
⏰ Duration: 2h 6m
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Explore the database options for powering your Python apps. Learn how to create and connect to different types of databases, including SQLite, MySQL, and PostgreSQL.📗 Topics: Databases, Python
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👍12❤3
🔸 Full description 🔸
To create functional and useful Python applications, you need a database. Databases allow you to store data from user sessions, track inventory, make recommendations, and more. However, Python is compatible with many options: SQLite, MySQL, and PostgreSQL, among others. Selecting the right database is a skill that advanced developers are expected to master. This course provides an excellent primer, comparing the different types of databases that can be connected through the Python Database API. Instructor Kathryn Hodge teaches the differences between SQLite, MySQL, and PostgreSQL and shows how to use the ORM tool SQLAlchemy to query a database. The final chapters put your knowledge to practical use in two hands-on projects: developing a full-stack application with Python, PostgreSQL, and Flask and creating a data analysis app with pandas and Jupyter Notebook. By the end, you should feel comfortable creating and using databases and be able to decide which Python database is right for you.
To create functional and useful Python applications, you need a database. Databases allow you to store data from user sessions, track inventory, make recommendations, and more. However, Python is compatible with many options: SQLite, MySQL, and PostgreSQL, among others. Selecting the right database is a skill that advanced developers are expected to master. This course provides an excellent primer, comparing the different types of databases that can be connected through the Python Database API. Instructor Kathryn Hodge teaches the differences between SQLite, MySQL, and PostgreSQL and shows how to use the ORM tool SQLAlchemy to query a database. The final chapters put your knowledge to practical use in two hands-on projects: developing a full-stack application with Python, PostgreSQL, and Flask and creating a data analysis app with pandas and Jupyter Notebook. By the end, you should feel comfortable creating and using databases and be able to decide which Python database is right for you.
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🔅 Getting Started with Python for Finance
🔊 Author: Matt Harrison
🔸 Date: 2023-04-06
⏰ Duration: 1h 39m
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📗 Topics: Financial Analysis, Python
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🔊 Author: Matt Harrison
🔸 Date: 2023-04-06
⏰ Duration: 1h 39m
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Get up and running as a financial analyst using Python, one of the most widely used programming languages in the world.📗 Topics: Financial Analysis, Python
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👍13🔥1
🔸 Full description 🔸
Python has quickly become one of the most popular and widely used programming languages in the world. And if you work in finance and analyze the stock market or other financial instruments, you need to stay up to date with the most important analytic tools. Join instructor Matt Harrison to get up and running with Python, in this course designed uniquely for financial analysis.Learn how to implement the best practices for loading data and visualizations, performing calculations, ingesting and preparing financial data, coding technical analysis signals, and more. Along the way, test out your new skills in the challenges and coding exercises at the end of each section. Upon completing this course, youll be ready to start leveraging the power of Python to optimize your financial analysis workflow.
Python has quickly become one of the most popular and widely used programming languages in the world. And if you work in finance and analyze the stock market or other financial instruments, you need to stay up to date with the most important analytic tools. Join instructor Matt Harrison to get up and running with Python, in this course designed uniquely for financial analysis.Learn how to implement the best practices for loading data and visualizations, performing calculations, ingesting and preparing financial data, coding technical analysis signals, and more. Along the way, test out your new skills in the challenges and coding exercises at the end of each section. Upon completing this course, youll be ready to start leveraging the power of Python to optimize your financial analysis workflow.
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🔅 Python Essential Training
🔊 Author: Ryan Mitchell
🔸 Date: 2023-01-25
⏰ Duration: 4h 22m
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📗 Topics: Python
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🔊 Author: Ryan Mitchell
🔸 Date: 2023-01-25
⏰ Duration: 4h 22m
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Get a comprehensive overview of the Python programming language and gain enough command of Python 3 to create well-designed scripts and maintain existing projects.📗 Topics: Python
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👍6
🔸 Full description 🔸
Python is one of the most commonly used dynamic languages for many large organizations, including Google, Yahoo and IBM. Supported on all major operating systems, it comes pre-installed on Macs, as well as most Linux and Unix-based systems. In this course, senior software engineer Ryan Mitchell guides you through all the essentials of learning and using Python. Learn how computers think, as well as how to install Python, pip, and Jupyter Notebook and the basics of writing a program. Explore variables and types, operators, functions, classes, objects, and more. Go over basic data types like ints and floats, Booleans, and strings. Deep dive into basic data structures, control flow, functions, classes, and objects. Find out how to handle errors and exceptions, as well as threads and processes. Plus, discover how to work with different types of files in Python, pass command-line arguments to your Python script, and create modules and packages.
Python is one of the most commonly used dynamic languages for many large organizations, including Google, Yahoo and IBM. Supported on all major operating systems, it comes pre-installed on Macs, as well as most Linux and Unix-based systems. In this course, senior software engineer Ryan Mitchell guides you through all the essentials of learning and using Python. Learn how computers think, as well as how to install Python, pip, and Jupyter Notebook and the basics of writing a program. Explore variables and types, operators, functions, classes, objects, and more. Go over basic data types like ints and floats, Booleans, and strings. Deep dive into basic data structures, control flow, functions, classes, and objects. Find out how to handle errors and exceptions, as well as threads and processes. Plus, discover how to work with different types of files in Python, pass command-line arguments to your Python script, and create modules and packages.
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