🔸 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
🔷 Join @python_trainings for more courses
🔊 Author: Matt Harrison
🔸 Date: 2023-04-06
⏰ Duration: 1h 39m
🌀
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
🔷 Join @python_trainings for more courses
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🔸 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.
👍9❤5
🔅 Python Essential Training
🔊 Author: Ryan Mitchell
🔸 Date: 2023-01-25
⏰ Duration: 4h 22m
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📗 Topics: Python
🔷 Join @python_trainings for more courses
🔊 Author: Ryan Mitchell
🔸 Date: 2023-01-25
⏰ Duration: 4h 22m
🌀
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
🔷 Join @python_trainings for more courses
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🔸 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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🔅 Building RESTful Web APIs with Django
🔊 Author: Rudolf Olah
🔸 Date: 2019-03-27
⏰ Duration: 1h 9m
🌀
📗 Topics: REST APIs, Django
🔷 Join @python_trainings for more courses
🔊 Author: Rudolf Olah
🔸 Date: 2019-03-27
⏰ Duration: 1h 9m
🌀
Learn how to build a RESTful web API using the Django REST framework.📗 Topics: REST APIs, Django
🔷 Join @python_trainings for more courses
👍9❤4
🔸 Full description 🔸
APIs are a crucial technology for delivering data to applications—from front-end ecommerce sites to iOS and Android apps. The Django REST framework is the natural choice for Python and Django developers who want to create their own RESTful back-end APIs. In addition to its rapid prototyping tools, the framework includes authentication schemes, serialization for parsing complex data into Python-friendly types, and automatic URL routing. This course shows how to use the Django Rest framework to create a simple RESTful web API. Instructor Rudolf Olah explains how to create serializers, renderers, filtering and pagination, and routers with viewsets that consumers can use to access the API. He also shows how to unit test your code to ensure your API works as expected. By the end of the course, youll know how to use this powerful and flexible toolkit to build you own data-driven web experiences.
APIs are a crucial technology for delivering data to applications—from front-end ecommerce sites to iOS and Android apps. The Django REST framework is the natural choice for Python and Django developers who want to create their own RESTful back-end APIs. In addition to its rapid prototyping tools, the framework includes authentication schemes, serialization for parsing complex data into Python-friendly types, and automatic URL routing. This course shows how to use the Django Rest framework to create a simple RESTful web API. Instructor Rudolf Olah explains how to create serializers, renderers, filtering and pagination, and routers with viewsets that consumers can use to access the API. He also shows how to unit test your code to ensure your API works as expected. By the end of the course, youll know how to use this powerful and flexible toolkit to build you own data-driven web experiences.
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🔅 Python for Students
🔊 Author: Julie Nisbet
🔸 Date: 2019-11-01
⏰ Duration: 1h 8m
🌀
📗 Topics: Python
🔷 Join @python_trainings for more courses
🔊 Author: Julie Nisbet
🔸 Date: 2019-11-01
⏰ Duration: 1h 8m
🌀
Learn programming with Python in this fun and easy-to-follow course designed for high-school and college-age students.📗 Topics: Python
🔷 Join @python_trainings for more courses
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