1. Parallel Programming Course by EPFL (Coursera) Coursera is a well-recognized online e-learning platform that is known for providing the most useful courses online. Parallel Programming is also among those courses that is designed to help students learn fundamental concepts of Parallel Computing.
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Apr 11, 2022 · Parallel programming in Python is used to build software architecture that uses multi-thread and process-based parallelism. This instructor-led, live training (online or onsite) is aimed at web developers who wish to parallel program with Python.
Parallel programming is a computational approach in which multiple calculations are carried out simultaneously to solve a problem. Parallel programming in Python is used to build software architecture that uses multi-thread and process-based parallelism. This instructor-led, live training (online or onsite) is aimed at web developers who wish to parallel program with Python.
1. Parallel Programming Course by EPFL (Coursera) Coursera is a well-recognized online e-learning platform that is known for providing the most useful courses online. Parallel Programming is also among those courses that is designed to help students learn fundamental concepts of Parallel Computing.
In general, this course will introduce you to the basic issues and techniques for writing parallel software. You’ll get to know and understand the advanced foundation in various programming models and varieties of parallelism in current hardware. During the course, you’ll cover multiple topics, such as fast networks, accelerators, and vector instructions sets, multicore, and many more. The instructors of the course are highly qualified professors who are teaching parallel computing for more than six years. Have a look at our take on Best Software Engineering Courses.
Most of you might be very well aware of MIT University, but only a few are known of MIT Open Courseware that is an online e-learning platform provided by MIT faculties . This parallel computing course provided by MIT Open Courseware will help you learn applied parallel computing on modern supercomputers with an advanced interdisciplinary introduction. With the help of hands-on emphasis, you’ll be able to understand the realities and myths of what is possible on the world’s fastest machines. You’ll cover numerical topics like dense and sparse linear algebra, N-body problems, multigrid, fast-multipole, and Fourier transforms. You’ll also get a clear understanding of parallel programming paradigms, data-parallel systems, application-oriented architectures, and much more.
This is a very immersive Python training course with 42 hours of video content that teaches everything from the tools you need for programming in Python through to writing your own programs in Python. Challenges and assignments are included to test the skills learnt and further your understanding of Python. The course is kept updated and questions about the course content are answered promptly by the instructors.
The program comprises of three modules – Introduction to SQL, Introduction to Python Programming, and Introduction to Version Control. In the Python Programming section, you’ll learn the following:
Learn to use Python libraries – Pandas for Data Analysis, NumPy for Numerical Data, Matplotlib for Python Plotting, Seaborn for statistical plots, Plotly for interactive dynamic visualizations, SciKit-Learn for Machine Learning Tasks
This Python Certification is a series of five courses, each covering in detail some aspect of using Python for Data Science applications. The first 3 core courses delve into data wrangling, modelling, visualization, machine learning methods & techniques and the other 2 courses teach text mining and social network analysis. The focus of all these courses is not that much on theory as actual practice with Python, the default language of data science.
Python is the language of data scientists, web developers and AI experts. Having a good grasp on Python is key to succeeding in the fields related to data science and automation. Many experienced professionals are also learning Python to switch to career path of machine learning and data science.
This Learn Intermediate Python certification program teaches intermediate-level skills for programming with the Python language. It is ideal for those who have basic knowledge of Python and have used Python to build basic scripts but want to up their game. The program covers techniques like Python objects, object-oriented programming, debugging, and control flow and prepares learners for a variety of different roles spanning fields like Data Science, AI and Software Engineering.
The certification content is structured into 3 domains – first is fundamental computing principles that are taught in a programming?language-neutral way; second covers programming concepts in python that implement those computing principles; and third delves into domain applications that use those concepts and principles in real world applications.
So if you want to learn this framework consider taking the Full Stack Web Development with Python (WEB2PY) course on Pluralsight. Build good design web pages.
This course is created by Bogdan Stashchuk, one of the Ph.D. Software engineer and Udemy instructor.
Use the Django framework to build the back-end of your website.
There is a huge demand for full-stack developers and there are not many with Python Programming skills, which means there is a huge opportunity for full-stack Python developers.
Python is one of the most popular high-level, general-purpose programming languages. Named after the comedy troupe Monty Python, the language has a user-friendly syntax that makes it very appealing to beginners. It’s also very flexible and scalable, and has a very vibrant, global community of users. Thanks to its rich set of tools and libraries you ...
This course equips you with all the skills you need to crunch raw data into meaningful information using Python, and will familiarize you with Python’s data analysis libraries including Pandas, NumPy, SciPy, and scikit-learn.
According to the TIOBE Index, Python is currently the most popular programming language in the world. In fact, Python is used in some form or the other in virtually all major tech companies around the world, which makes it one of the top-most demanded skills.
The self-paced course is divided into five modules with the sixth being the final assignment. Each module begins with a summary of the concepts that it’ll impart before it introduces the libraries and how they’re used to achieve the specified objective. There are quizzes and lab exercises to help you put the newly acquired knowledge to use.
Udemy offers a wide range of excellent courses, but their course, The Python Mega Course: Build 10 Real World Applications, will be especially good for those who know some Python already. As its name suggests, the course teaches you how to build 10 practical apps using Python, from simple database query apps to web and desktop apps to data visualization dashboard, and more.
It does give you the ability to alter the play speed and add notes, but the lack of support for closed captions is disappointing. SkillShare offers a Free trial during which you can take any course in their library including this one.
Coursera is another of our favorite online learning resources, and their Principles of Computing is a good course to expand your coding skills with Python. It's presented in two-parts and is offered by Rice University as part of the Fundamentals of Computing Specialization, which has a total of seven courses.
Other Reasons Why Python Is Truly Beginner-Friendly: Quick Progression. Many learners suggest Python has a relatively steady ( or shallow) learning curve. The very basics are easy to pick up and compared to other programming languages such as C++, C, C#, or Java, Python is slightly easier to learn.
Python allows achieving more functions with fewer lines of code. It has pre-built libraries and web frameworks such as Pyramid, Django, and Flask which are ideal back-end web development projects.
What’s so great about this MIT Python course? It includes various projects in which you get to experiment with algorithms yourself and put your newfound skills into practice. Understanding practical applications of the stuff you learn is a crucial part of progress. Hence, practice makes perfect .
Python is the preferred language of programmers of all ages and many companies. All the factors I already mentioned make it a highly attractive programming language in a wide variety of industries and projects.
It’s widely used in scientific research and computing too, given its strong connection to data science toolkits. Python handles tabular, matrix, and statistical data, and facilitates data visualization with popular libraries like ‘ Matplotlib ’ and ‘ Seaborn .’
QS World University Rankings has marked Massachusetts Institute of Technology ( MIT) as the world’s top university for 2020-21. Studying at MIT is many students’ dream, and guess what? Now you too can make this dream come true by accessing MIT Python courses from the comfort of your couch! Well, pretty much anywhere with a strong wifi connection.
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