a certificate but only if you pass an exam and so yes there are exams on the platform but there's support to help get you through those exams they have a resume builder to help you build the best resume that you can and then if you want that resume will get put in front of potential employers it's a great place to learn and you can do that absolutely free between the NUMBER_TOKENth of october and the NUMBER_TOKENth of november NUMBER_TOKEN. the last time that NUMBER_TOKEN data science made an offer like this was in march and april of last year and over a hundred thousand people signed up so why don't you give it a try let's go to chapter one small problems it starts with the fibonacci sequence and then it builds up better ways of writing a function that will calculate the fibonacci sequence and that in it introduces memoization and the code examples are really well written and if you're self-taught i think working through the code in this book really improved the way that you write code let's move a little further on into the book to see how it tackles the more complex problems so here we have word search a word search is a grid of letters with hidden words placed along rows columns and diagonals a player of a word search puzzle attempts to find the hidden words by carefully scanning through the grid finding places to put the words so that they all fit on the grid is a kind of constraint satisfaction problem the variables are the words and the domains of the possible locations of those words the problem is illustrated in figure NUMBER_TOKEN and there it is for the purposes of expediency our word search will not include words that overlap you can improve it to allow for overlapping words as an exercise and there are exercises at the end of each chapter and then we have a nice run-through we work through how to solve this constraint satisfaction problem so i really like this book and i think anyone that regards themselves as an intermediate python programmer would have a lot to learn by working through this book do i have any criticisms of it not really the book is about i don't know NUMBER_TOKEN pages or so long and there's a lot of material crammed into those NUMBER_TOKEN pages and it might be that just reading the explanation in this book and working through the code isn't always enough to understand what's going on so you may have to look at other resources too but i don't think that's really a criticism because that's just how you learn uh you will learn a lot by working through this book there's a nice section at the back uh there are some appendices which have book recommendations for uh for general python algorithms and data structures artificial intelligence and functional programming and there's a little section on type hints because the book uses uh type hints so for NUMBER_TOKEN pounds that's what it costs in the uk i don't know what it is elsewhere uh i think this is very good value for money and if you compare it to other learning materials that you might spend NUMBER_TOKEN pounds on on the equivalent i think there's a lot in here and i think it's well worth the price so manning and david kopeck have done a fantastic job
START_SPONSOR_TOKEN a certificate but only if you pass an exam and so yes there are exams on the platform but there's support to help get you through those exams they have a resume builder to help you build the best resume that you can and then if you want that resume will get put in front of potential employers it's a great place to learn and you can do that absolutely free between the NUMBER_TOKENth of october and the NUMBER_TOKENth of november NUMBER_TOKEN. the last time that NUMBER_TOKEN data science made an offer like this was in march and april of last year and over a hundred thousand people signed up so why don't you give it a try let's END_SPONSOR_TOKEN