Online courses directory (121)
In this introduction to computer programming course, you’ll learn and practice key computer science concepts by building your own versions of popular web applications. You’ll learn Python, a powerful, easy-to-learn, and widely used programming language, and you’ll explore computer science basics, as you build your own search engine and social network.
The world is trending in real time! Learn from Twitter to scalably process tweets, or any big data stream, in real-time to drive d3 visualizations using Apache Storm, the “Hadoop of Real Time.” Storm is free, open source, and fun to use! Learn from Karthik Ramasamy, Technical Lead of Storm@Twitter, about the distributed, fault-tolerant, and flexible technology used to power Twitter’s real-time data flow pipeline. Twitter open sourced Storm in 2011, and it graduated to a top-level Apache project in September, 2014. Starting from basic distributed concepts presented during our first Udacity-Twitter Storm Hackathon, link Storm concepts to Storm syntax to scalably drive Word Cloud visualizations with Vagrant, Ubuntu, Maven, Flask, Redis, and d3. Link to the public Twitter gardenhose stream to process live tweets, parse embedded URLs, and calculate Top worldwide hashtags. Extend beyond Storm basics by exploring multi-language capabilities in Python, integrate open source components, and implement real-time streaming joins. In your final project, follow real-time trending topics by implementing the data pipeline to visualize only tweets that contain Top worldwide hashtags. Extend your project by exploring the Twitter API, or any data source, alongside Hackathon participants as they design their own ideas, receive feedback from Karthik, and open source a final project calculating real-time tweet sentiment and geolocation to drive a U.S. Map.
As a Python programmer, leveraging Flask allows you to quickly and easily build your own web applications. But before you share your apps on the Internet you should protect your users' data, ensuring information stored on your site is safe from unwanted manipulation. You could implement web security and permissions on your own, but relying on trusted providers is a faster, safer, and easier way to allow users to login to your application - without having to create and maintain another account, profile, and password. In this course, you will learn to implement the OAuth 2.0 framework to allow users to securely login to your web applications. You'll be provided a restaurant menu application created in Flask. By the end of this course, you will write the necessary code to implement Google+ Sign-In and Facebook Login in options so users can create restaurant menus that are viewable by everyone but only modifiable by the original creator.
This course is intended for budding full-stack web developers to master the basics of HTTP, the protocol that underlies all web technology. In this course, you'll explore HTTP directly, talking with web servers and browsers by hand. You'll write and deploy low-level web applications in Python. And you'll learn more about how HTTP connects with other web technologies.
Programming-oriented course on effectively using modern computers to solve scientific computing problems arising in the physical/engineering sciences and other fields. Provides an introduction to efficient serial and parallel computing using Fortran 90, OpenMP, MPI, and Python, and software development tools such as version control, Makefiles, and debugging.
This course is a quick, fun introduction to using a relational database from your code, using examples in Python. You'll learn the basics of SQL (the Structured Query Language) and database design, as well as the Python API for connecting Python code to a database. You'll also learn a bit about protecting your database-backed web apps from common security problems. After taking this course, you'll be able to write code using a database as a backend to store application data reliably and safely.
In this introductory programming class, you’ll learn Object-Oriented Programming, a must-have technique for software engineers that will allow you to reuse and share code easily. You’ll learn by doing, and will build byte-sized (ha!) mini projects in each lesson to learn and practice programming concepts. We’ve heard that programming can be intimidating for newcomers, and we’ve created this course to make sure that you have a great learning experience! You’ll learn ***actively*** with our mini projects (see the awesome list below), which you’ll be able to share proudly with your friends. You’ll also learn important programming concepts one by one, with no surprises or leaps of logic along the way. You’ll pick up some great tools for your programming toolkit in this course! You will: - Start coding in the programming language Python; - Reuse and share code with Object-Oriented Programming; - Create and share amazing, life-hacking projects! This introductory course is for you if you want to be a software engineer, or if you want to collaborate with programmers. Mastering Object-Oriented Programming will propel your career in tech forward, and it’s also a great way to learn how software engineers think about solving problems. This course is also a part of our Full Stack Web Developer Nanodegree.
In this course you'll learn the basic Linux fundamentals every web developer needs to know to share their web applications with the world! You'll get a basic Python WSGI application up and running within a Vagrant virtual machine that queries data from a PostgreSQL database. You'll start by exploring various Linux distributions and learning the differences between a number of them. You'll then explore how the Linux operating system differs from other operating systems you may be more familiar with. With this base knowledge, you'll then move into Linux security - covering topics such as file permissions, user management, package management and configuring firewalls. Finally, you'll transform a safe and secure baseline server into a web application server by installing and configuring the Apache HTTP Server and PostgreSQL database server.
This course will introduce you to the world of data analysis. You'll learn how to go through the entire data analysis process, which includes: * Posing a question * Wrangling your data into a format you can use and fixing any problems with it * Exploring the data, finding patterns in it, and building your intuition about it * Drawing conclusions and/or making predictions * Communicating your findings You'll also learn how to use the Python libraries NumPy, Pandas, and Matplotlib to write code that's cleaner, more concise, and runs faster. This course is part of the [Data Analyst Nanodegree](https://www.udacity.com/course/data-analyst-nanodegree--nd002).
Are you interested in learning how to program (in Python) within a scientific setting? This course will cover algorithms for solving various biological problems along with a handful of programming challenges helping you implement these algorithms in Python. It offers a gentler-paced alternative to the first course in our Bioinformatics Specialization (Finding Hidden Messages in DNA).
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