🔸 Full description 🔸
With Plotly, you can make charts and share graphs, so that your colleagues and friends can see your work. In this course, instructor Brett Vanderblock shows you how to evaluate what graph types to use in various situations, deploy Plotly for your own initiatives, and develop your own interactive graphs. Plotly is a data visualization library. Brett walks you through its key attributes and how to start using it. Creating charts is easy with Plotly, and Brett introduces you to basic charts, statistical charts, 3D plotting, mapping, and more. He shows you how to add interactive dropdowns and buttons to your charts and graphs, as well as how to create subplots and create a dashboard to combine visualizations.
This course was created by Madecraft. We are pleased to host this training in our library.
With Plotly, you can make charts and share graphs, so that your colleagues and friends can see your work. In this course, instructor Brett Vanderblock shows you how to evaluate what graph types to use in various situations, deploy Plotly for your own initiatives, and develop your own interactive graphs. Plotly is a data visualization library. Brett walks you through its key attributes and how to start using it. Creating charts is easy with Plotly, and Brett introduces you to basic charts, statistical charts, 3D plotting, mapping, and more. He shows you how to add interactive dropdowns and buttons to your charts and graphs, as well as how to create subplots and create a dashboard to combine visualizations.
This course was created by Madecraft. We are pleased to host this training in our library.
👍14❤2
🔅 Training Neural Networks in Python
🌐 Author: Eduardo Corpeño
🔰 Level: Advanced
⏰ Duration: 2h 7m
🌀
📗 Topics: Neural Networks, Python
📤 Join @python_trainings for more courses
🌐 Author: Eduardo Corpeño
🔰 Level: Advanced
⏰ Duration: 2h 7m
🌀
Take a deep dive into the inner workings of neural networks by learning how to create one from scratch in Python.📗 Topics: Neural Networks, Python
📤 Join @python_trainings for more courses
👍16❤5🔥3👎1
🔅 Building RESTful Web APIs with Django
🌐 Author: Rudolf Olah
🔰 Level: Intermediate
⏰ Duration: 1h 9m
🌀
📗 Topics: REST APIs, Django
📤 Join @python_trainings for more courses
🌐 Author: Rudolf Olah
🔰 Level: Intermediate
⏰ 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
👍19❤1
🔸 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.
👍14
🔅 Advanced Django Project: Build High-Traffic Websites with Django
🌐 Author: Ryan Mitchell
🔰 Level: Advanced
⏰ Duration: 1h 52m
🌀
📗 Topics: Django
📤 Join @python_trainings for more courses
🌐 Author: Ryan Mitchell
🔰 Level: Advanced
⏰ Duration: 1h 52m
🌀
This course provides a comprehensive look at the Python-based Django frameworks core features and architecture for advanced users.📗 Topics: Django
📤 Join @python_trainings for more courses
👍13❤4
🔸 Full description 🔸
In this project-based course, software engineer Ryan Mitchell takes a deep dive into Django, the framework that is the back end of high-traffic websites like Instagram and Pinterest. Designed for advanced Django users, Ryan presents a social media website project as a framework for how to tackle any web engineering situation and translate it into Django code. She shows how to build custom validators, filters, and managers; how to extend and augment the default Django settings and models; and how to eliminate code redundancy and implement clean error handling, authentication, caching, and other tools. If youre looking for some hands-on work to learn how to apply Django to develop anything from a retail store to a personal portfolio to a company website and more, join Ryan in this course.
In this project-based course, software engineer Ryan Mitchell takes a deep dive into Django, the framework that is the back end of high-traffic websites like Instagram and Pinterest. Designed for advanced Django users, Ryan presents a social media website project as a framework for how to tackle any web engineering situation and translate it into Django code. She shows how to build custom validators, filters, and managers; how to extend and augment the default Django settings and models; and how to eliminate code redundancy and implement clean error handling, authentication, caching, and other tools. If youre looking for some hands-on work to learn how to apply Django to develop anything from a retail store to a personal portfolio to a company website and more, join Ryan in this course.
👍20🔥7❤4
Advanced Django.zip
329 MB
❤23👍13
🔅 Python Statistics Essential Training
🌐 Author: Matt Harrison
🔰 Level: Advanced
⏰ Duration: 2h 39m
🌀
📗 Topics: Statistics, Python
📤 Join @python_trainings for more courses
🌐 Author: Matt Harrison
🔰 Level: Advanced
⏰ Duration: 2h 39m
🌀
Learn to use Python to unlock the power of data and use it to inform decisions.📗 Topics: Statistics, Python
📤 Join @python_trainings for more courses
👍15❤10🔥2
🔸 Full description 🔸
The field of statistics has become increasingly dependent on data analysis and interpretation using Python. With the rise of big data and data science, the demand for professionals who can effectively analyze and interpret data using Python has skyrocketed. In this course, Matt Harrison teaches you how to collect, clean, analyze, and visualize data using the powerful tools of the Python programming language. Join Matt as he gives into the various techniques that form the backbone of statistics and helps you understand the data with summary statistics and visualizations. He explains how to create predictive models using both linear regression andXGBoost, and wraps up the course with a look at hypothesis testing.
If youre interested in exploring statistics using a code-first approach, join Matt in this course as he shows you how to use Python to unlock the power of data.
The field of statistics has become increasingly dependent on data analysis and interpretation using Python. With the rise of big data and data science, the demand for professionals who can effectively analyze and interpret data using Python has skyrocketed. In this course, Matt Harrison teaches you how to collect, clean, analyze, and visualize data using the powerful tools of the Python programming language. Join Matt as he gives into the various techniques that form the backbone of statistics and helps you understand the data with summary statistics and visualizations. He explains how to create predictive models using both linear regression andXGBoost, and wraps up the course with a look at hypothesis testing.
If youre interested in exploring statistics using a code-first approach, join Matt in this course as he shows you how to use Python to unlock the power of data.
👍22❤13