Classroom-tested by tens of thousands of students, this new edition of the best-selling intro to programming book is for anyone who wants to understand computer science. Using a combination of a guided introduction and more independent in-depth exploration, you will get to practice your new Python skills with various case studies chosen for their scientific breadth and their coverage of different Python features. Overview. This book is by four authors: Jennifer Campbell, Paul Gries, Jason Montojo and Greg Wilson. This is the first of a few reviews I'll be posting of online courses available. The course moves very quickly and has required 20+ additional hours of work weekly beyond the instruction. Anonymous is taking this course right now. It is the only online course I have completed thus far; I hope to take the subsequent courses by MITx in the future. Together, they are designed to help people with no prior exposure to computer science or programming learn to think computationally and write programs to tackle useful problems. Salvador Pio Alonday completed this course, spending 12 hours a week on it and found the course difficulty to be hard. This third edition of John Zelle’s Python Programming continues the tradition of updating the text to reflect new technologies while maintaining a time-tested approach to teaching introductory computer science. I take this MOOC aside from my work as a government clerk in China in 2016, which is very unsatisfactory. The forums were invaluable to completing the assignments and were full of very bright students with excellent questions. Assignments: programming with examples; Course Description. The course moves very quickly and has required 20+ additional hours of work weekly beyond the instruction. This also applies when you’re working on the exams and problem sets: it brought me great pleasure to see the ideas I’d written and reasoned out on paper get turned into code that then worked. Python Programming: An Introduction to Computer Science Book Description. Together, they are designed to help people with no prior exposure to computer science or programming learn to think computationally and write programs to tackle useful problems. I’m really interested on how classes could be used to model data science problems, and I think with more relevant examples I might be able to appreciate more the powers of object-oriented programming. Doris Smith completed this course, spending 6 hours a week on it and found the course difficulty to be hard. Ryan Lam completed this course, spending 8 hours a week on it and found the course difficulty to be hard. At that time, I was 24, graduated from an Econ & Business university, beaten by the humiliating experience of working in a rigorous hierarchy, and most relevant, never touched programming. Sign in or register and then enroll in this course. The MITx 6.001 python class probably could be handled by somebody who has never coded before, although Harvard’s CS50 would give you a more well-rounded exposure to the entire concept of Computer Science. It was much harder and moved much quicker than any other MOOC I have taken. The course is free to try: Ruilin Yang completed this course, spending 11 hours a week on it and found the course difficulty to be hard. Vicky Pang completed this course, spending 2 hours a week on it and found the course difficulty to be hard. Read this book for the Mitx course on edx.org. Here, I’ve included a pdf version of the book as a download link preview which can be accessed from the links in this post. I was able to grasp the fundamentals of programming on the fly. Please note that this course is fully accessible: you can get your codes for all the problem sets and exams graded for free; you only have to pay if you want to obtain a verified certificate after passing the course — $49, less if you are granted EdX’s financial assistance. Elvina Valieva completed this course, spending 4 hours a week on it and found the course difficulty to be medium. I have tried a few intro to computing courses, and this is hands-down by far the best. This is an excellent course that will teach you some Python, but more importantly will teach you algorithmic thinking and how to break down large problems into simpler ones. Topics in the first few weeks don't seem to build on one another in a very logical manner. Here are the additional resources that I used for the class that really helped me during the course: A few weeks after writing this review, I’d also finished MIT 6.00.2x. Together, they are designed to help people with no prior exposure to computer science or programming learn to think computationally and write programs to tackle useful problems. Candidates will learn how to write, debug, maintain and document Python code.The material will prepare students for the Microsoft certification exam 98-381. Practical Programming: An Introduction to Computer Science Using Python is a good beginner's introduction to Computer Science through the Python language because it is accessible to novices, assuming little, if any, prior exposure, but its rather basic coverage does not make it a good choice as either a comprehensive introduction to Python or to programming. The tests that run against your solutions to the exercises require the solution to be entered in an exact format. Will normally take around 12-15 hours a week, but if you are new might take long. One of the things to take away from this course for me was that coding of complex programs is not... Great course! I was so scared going to the lessons on algorithm because I’d always thought they were too hard for me to understand. Build an iMessage Clone With the Stream Chat iOS SDK, Seamless backpressure handling in gRPC-Kotlin, Terraform: Iterating through a Map of Lists To Define AWS Roles and Permissions, Overview of Software Performance Testing Activities, Running Spark Application in the EMR Cluster Through AWS Lambda Function. Without the book, I highly doubt I would have completed the course. Some of the people taking the two courses will use them as a stepping stone to more advanced computer science courses, but for many it will be their first and last computer science courses. But you have to work a lot, not get frustrated and be ready to think out of the box and get out of the comfort zone to solve the problems. The midterm and final, though, I found very difficult. The lectures aren't presented very clearly. Organize and share your learning with Class Central Lists. The goal is to provide students with a brief introduction to many topics so they will have an idea of what is possible when they need to think about how to use computation to accomplish some goal later in their career. This course is the first of a two-course sequence: Introduction to Computer Science and Programming Using Python, and Introduction to Computational Thinking and Data Science. A groundbreaking, flexible approach to computer science and data science. Treehouse’s Python series (9 courses): it costs money. Absolute beginners may want to first try Google's free Python course or some other quick introduction to the language. This course is the first of a two-course sequence: Introduction to Computer Science and Programming Using Python, and Introduction to Computational Thinking and Data Science. Computer Science CS51p is an introduction to the field of computer science using the Python programming language. University of London International Programmes, Start your review of Introduction to Computer Science and Programming Using Python. It takes a fairly traditional approach, emphasizing problem solving, design, and programming as the core skills of computer science. That said, they are not "computation appreciation" courses. Prose Simian completed this course, spending 6 hours a week on it and found the course difficulty to be medium. I really enjoyed this course. I personally enjoyed the instructor's sense of humour and barely contained enthusiasm for the subject. The course content on the whole is solid but half-baked in execution with poor visuals, pacing, and contextual application to the real world. Use the practice quiz as an opportunity to think through the problems and identify areas where you need further review to achieve a solid understanding of the material. Together, they are designed to help people with no prior exposure to computer science or programming learn to think computationally and write programs to tackle useful problems. I think it's based on the introductory 'CS for non CS majors' course at MIT. This is the first MOOC that I even reached til the end, let alone passed! This book is designed to be used as the primary textbook in a college-level first course in computing. It covered a wide range of lessons needed for computer programming and would recommend it for anybody who wants to learn computer science. A deep reading through the relevant section in the book was more than enough to clear up my confusion, and gave me ample time to think about the concepts, especially when I tried to followed the code on the page. Practical Programming, Third Edition An Introduction to Computer Science Using Python 3.6 by Paul Gries, Jennifer Campbell, Jason Montojo. Dubravko Gacina completed this course, spending 15 hours a week on it and found the course difficulty to be hard. I took it concurrently with the Rice python course on Coursera, and I found that the two courses complemented each other very well, though it was hard to find time to complete all the assignments for both courses. Menu Course Review: 6.00.1x: Introduction to Computer Science and Programming Using Python 17 May 2016 on programming languages, online courses, computer science, python, programming. Great course! Help. (Bridging problems between the current short end-of-lesson questions and complex weekly problems.) Even for someone who has programmed for a year or so, this course can be tough. This is a well-crafted, fast-paced introduction to Computer Science, though a little dry at times. This course covers a lot of ground, so it may be demanding for a beginner. I just finished auditing MIT’s 6.00.1x (Introduction to Computer Science and Programming Using Python) on EdX. The professors are engaging and the lectures are short and to the point. — to draw out the concepts covered in the class and explain to yourself how it works; for example, how a certain function mutates a list passed onto it. I am a complete novice with no programming experience, so perhaps that was my fault. It is a very good introduction to computer science and python programming. I was pleasantly surprised to discover that I could implement the sorting algorithms (selection sort, merge sort) even before seeing the code, just by listening or reading the pseudocode. Biomedical Informatics: Computer Applications in Health Care and Biomedicine by Edward H. Shortliffe Hardcover CDN$184.47 This book introduces students with little or no prior programming experience to the art of computational problem solving using Python and various Python libraries, including numpy, matplotlib, random, pandas, and sklearn. I just finished this class. This item: Practical Programming: An Introduction to Computer Science Using Python 3 by Paul Gries Paperback CDN$44.55 Ships from and sold by PBS CA. I'd recommend this course if you have someone around who already knows programming because as with other computer stuffs, sometimes a small thing can get you stuck and you can look at it a million times and still can't see where the problem lies. daslk klsd fklasjdf lkajsflk jaslk c iajwoie xcn xio oq o o no ja qp p dpj aoidn ff xaalkd j oq p di faoif q pq nj diof jalk nlkjfk. Problems sets can be challenging, but not if you've solved similar problems in another language. Together, they are designed to help people with no prior exposure to computer science or programming learn to think computationally and write programs to tackle useful problems. This helped me a lot when I was confused about a certain topic during a lecture — which was very often — and was too exasperated to keep rewinding the same ol’ video. This is an excellent course that will teach you some Python, but more importantly will teach you algorithmic thinking and how to break down large problems into simpler ones. An excellent introduction to thinking computationally. An introduction to the intellectual enterprises of computer science and the art of programming. Prof. Grimson's lectures were a pleasure to watch. This is a well-crafted, fast-paced introduction to Computer Science, though a little dry at times. Complete Python Bootcamp (Udemy): it costs money, and has a 4.5-star weighted average rating over 4,700+ reviews. Providing the most current coverage of topics and applications, the book is paired with … Personally, to me it's the very Eric Grimson's teaching style which kept me going. I liked the instructor, and the exercises and problems sets largely struck a nice balance, being challenging but not discouraging. Giovanni Volante completed this course, spending 8 hours a week on it and found the course difficulty to be medium. I have tried a few intro to computing courses, and this is hands-down by far the best. You'll learn to program in a language that' s used in millions of smartphones, tablets, and PCs. This course is the first of a two-course sequence: Introduction to Computer Science and Programming Using Python, and Introduction to Computational Thinking and Data Science. This course is the first of a two-course sequence: Introduction to Computer Science and Programming Using Python, and Introduction to Computational Thinking and Data Science. Each lesson was modest in design, well defined in specific objective, and understandable information. I’d been interested in reading another Python-related textbook for a while, and this happens to be one of the few out there. it is unclear (and obscured) what was typed in and what resulted since you visually have to jump from the code screen to the execution screen in the midst of lines of text (and again, a very small font). No bell and whistles, a classical approach and a wonderful professor, Eric Grimson. This is a testament on how the previous lessons in the course really gave me a strong foundation to start implementing new programs. So, if you are merely starting, don't feel belittled. via edX Since these courses may be the only formal computer science courses many of the students take, we have chosen to focus on breadth rather than depth. I'm taking this class as a refresher and as a way to dig into some sorting algorithms that I haven't used in awhile but if I was new to coding/python, I would find this class to be very confusing. The Deitels’ Introduction to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and the Cloud offers a unique approach to teaching introductory Python programming, appropriate for both computer-science and data-science audiences. I'm really hoping that this class improves the deeper in you get. I'd take another class from this MIT group in an instant. This is the first MOOC that I even reached til the end, let alone passed! Criticism first, as pointed out by different people, the professor made too many careless mistakes in explaining a concept, he also did some scribbles that somehow confused me even more (in... As a beginner to python, this course pushes me to the limit. The lectures aren't presented very clearly. It provides students with skills that will enable them to make productive use of computational techniques, including some of the tools and techniques of data science for using computation … The class is somewhat medium-to-hard to follow and requires quite an attention and regularity of attendance (it's an esteemed MIT after all) but presenters and authors MIT's Professors John V. Guttag, Eric Grimson and Ana Bell did an extraordinary job of making a learning curve as gentle and pleasant as humanly possible. It is the only online course I have completed thus far; I hope to take the subsequent courses by MITx in the future. The Second Year of The MOOC: A Review of MOOC Stats and Trends in 2020, 40 Most Popular Online Courses Starting in January 2021, edX and Coursera Refresh their Brand: New Logos, New Homepages, The 100 Most Popular Courses During the Pandemic. You can check out my review of that course here. This was probably the best introduction to computer programming I have ever seen. I would not have liked to have taken the course without this book. MIT's Introduction to Programming Using Python course is back One of the most popular courses in edX's history - with over 1 million people enrolled - is back. Maybe I'm not paying as much attention as I should, but I swear there are exercises that ask you to use concepts you wouldn't know about from just having watched the lectures. And the e 6.00.1x/6.00.2x courses were very good as well, even as a part time student. Introduction to Computer Science and Programming Using Python[edx.com] Python and Django Full Stack Web Developer Bootcamp [udemy.com] AI Programming with Python [udacity.com] In this course, you will learn basics of computer programming and computer science. So I had to drop this course. -- Guido van Rossum, Creator of Python "Introduces Python and computer science concepts in a style that beginning students find appealing and easy to understand." PerkovicsIntroduction to Computing Using Python: An Application Development Focus, 2nd Editionis more than just an introduction to programming. I liked how once the fundamentals of Python were covered, the focus moved to solving real world engineering problems, but I still feel that there is a lot more to learn about Python. We will cover topics including iteration and recursion, basic data structures, sorting and searching, elementary analysis of algorithms, and an introduction to object-oriented programming. It has 4.5-star weighted average rating over 240 reviews. I take this MOOC aside from my work as a government clerk in China in 2016, which is very unsatisfactory. They are challenging and rigorous courses in which the students spend a lot of time and effort learning to bend the computer to their will. The slides are disorganized, often times with the professor making random, nonsensical scribbles that are more distracting than helpful. Even if you previously took the course with Python 2.7, you will be able to easily transition to Python 3.5 in future courses, or enroll now to refresh your learning. Review "Disguised as a Python textbook, it's really an introduction to programming, using Python as the preffered medium for beginners." Prahlad completed this course, spending 35 hours a week on it and found the course difficulty to be medium. This is a very good course. The professors are engaging and the lectures are short and to the point. Okay, so for someone who has never coded, and wants to learn to program, you can safely assume this is the best course, yet the hardest out their. I think it's based on the introductory 'CS for non CS majors' course at MIT. Nicole DeBonet completed this course, spending 12 hours a week on it and found the course difficulty to be very hard. ), I wish there’d be more data science applications of the concepts taught in class, given that many people who take the class are interested in learning programming for that purpose. You'll code along with the book, writing programs to solve real-world problems as you learn the fundamentals of programming using Python 3. Enjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube. This problem could be easily rectified with a more gradual evolution of problems. Class Central is a search engine and reviews site for free online courses popularly known as MOOCs or Massive Open Online Courses. Introduction to Computer Science and Programming Using Python You must be enrolled in the course to see course content. In addition to these issues, there are some community TA's that seem to be almost combative in the class discussion forums. It is an inclusive introduction to Computer Science that takes the pedagogical approach of the right tool for the job at the right moment, and focuses on application development. Excellent introduction class for anyone wanted to learn Python either you are a beginner/student or a professional experienced engineer wanted to learn something new. I just finished this class. Aviaura is taking this course right now, spending 12 hours a week on it and found the course difficulty to be very hard. The lectures are very contained in their scope, but the scope of the problems jumps far beyond the lecture and requires much unsupported research (really guessing, in many cases!). This course has been my best online 'tutorial'. I learned a lot, but it was a lot more work than I had really anticipated. Otherwise it's a great course. And while this may not be the typical "requirement" of a college course, the examples of where and in what context a given code might be utilized is much better provided in other online courses. This is a magnificent course, and even if you just complete it, without scoring good, trust me, you will take many things out of it for future. I learned a lot, but it was a lot more work than I had really anticipated. I'd imagine that a lot of people take this class purely based on the prestige associated with the MIT name but if you're new to coding you'd do yourself a favor by either taking Harvard's CS50 or grabbing the topics in the course and finding one of the hundreds of bootcamp blog posts that cover these same topics. Instructor approaches teaching from 'first principle' and for me that is the way to go. This course is the first of a two-course sequence: Introduction to Computer Science and Programming Using Python, and Introduction to Computational Thinking and Data Science. Granted, the items covered in this class are supposed to be basic, but I think there are better ways to learn about classes and inheritance than with a hackneyed Person-Student-MITPerson-Undergrad/Grad-class example. With the book, John Zelle has updated his famous introduction to programming using Python to cover Python 3.0. In 2020, the big MOOC providers got bigger, and the biggest one pulled further ahead of the rest. It aims to provide students with an understanding of the role computation can play in solving problems and to help students, regardless of their major, feel justifiably confident of their ability to write small … Below are my three observations after taking the class, including what I think is good, what can be improved, and tips on getting the most out of the class: The course comes with a textbook that can be bought as hard copy or in e-book form. This was probably the best introduction to computer programming I have ever seen. I came into it with some self-taught Python knowledge and found it challenging but manageable. The exercises seem to be very pedantic in nature. The programming assignments were challenging enough to make you feel like you have accomplished something, but the specifications were generally enough to get you through it. Python Programming: An Introduction to Computer Science is a primary textbook targeted for college-level first course studies in computer programming. View our Lists Showcase. Introduction to Python Programming. The many practice quizzes are very useful and I could follow the first half of the course but when I encountered a problem with an exercise around the middle of the course I couldn't solve it and since I was too busy to find other help (e.g. I'm taking this class as a refresher and as a way to dig into some sorting algorithms that I haven't used in awhile but if I was new to coding/python, I would find this class to be very confusing. I had very little programming experience (just Python for Informatics on Coursera), so I found this course to be difficult, but very rewarding. I just finished auditing MIT’s 6.00.1x (Introduction to Computer Science and Programming Using Python) on EdX. At that time, I was 24, graduated from an Econ & Business university, beaten by the humiliating experience of working in a... A life-changing MOOC. You’ll learn to represent and store data using Python data types and variables, and use conditionals and … Finally, nothing beats getting a pen and paper — it shocks me how much paper I’ve used for this class! However, if you have some programming experience and just want to get all you knowledge into a system and learn some python it can be pretty manageable. It was much harder and moved much quicker than any other MOOC I have taken. Introduction to Computer Science and Programming Using Python (MIT/edX): another good option. As a beginner to python, this course pushes me to the limit. 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