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My programming knowledge is up to OOP since that was the last thing we covered in the university. However, I am taking 2 courses this summer and I am constantly under pressure, but I am planning to learn data structures along the way too, to be prepared for it next semester.
I had two plans to learn it but I am not sure which one will be more efficient:
-The first one is to skim through and learn about all the types of data structures and how they are implemented.
-The second one is to try instead of just reading and knowing about a data structure, I will go and try to implement it. However, the drawbacks are that its slow and time consuming, so I might not be able to learn all of the data structures in time
Practice using the data structures in your code.
Code those data structures from scratch.
Repeat steps 1 and 2.
There is really no shortcut for that.
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Is it necessary to memorize the code of data structures like linked lists, dynamic arrays , circular linked list, queues , stacks , Graphs etc. Or just the basic knowledge of code is enough ? What kind of questions can be asked in a job interview regarding data structures ?
I don't know what your (future) employer may ask, but generally, I'd say no. You have to know how they work and what they're used for, expecially which data structure serves which purpose with its advantages/disadvantages. If you know that, you'll be able to write the code of such a structure without having it memorized - because you know how it will work.
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I can't say I'm weak in programming but I can't come up with the logic faster. I can analyse others code and get to know the logic. But I can't do it on my own. How can I improve my programming skills?
Quite a broad question but from my own, 30yr experience I can tell you there is no way around starting to
analyze existing code,
modify some things (play with it until it feels like it's your own code)
see what the changes do
develop your own ideas on how to do things faster/better/more beautiful
implement your ideas
see if it works
go on to more complex tasks
read books (very important, because many things can't just be discovered by trial'n'error)
be very passionate and determined about what you want to become reality
if you want to learn faster, then write more code
One very important item. You should have fun with what you do is always the best guarantee for success
If you fail at these items then I'm afraid you will never succeed with programming. But then maybe it's like any other field of knowledge.
I experience the same difficulties during my learning journey, too. When I complete challenge tasks I create more complex tasks for myself to see what I can do. It takes me to the next levels of solving problems.
Practice, Practice, Practice!
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Lets say that my definition of 'rudimentary programming' refers to the fundamental tools employed for a computer to perform a task.
Considering programming rudiments, the learning spectrum usually looks something like this:
Variables, data types and variable memory
Arrays/Lists and their manipulation
Looping and conditionals
Functions
Classes
Multi threading/processing
Streams (hard-disk and web)
My question is, have I missed any of the major rudiments? Is there a 'next' to the spectrum that still eludes me?
I think you missed the most important one: algorithms. Understanding the complexity, know the situation to use them, why use them and more important, how to implement them.
I'm pretty sure that you already know a lot about algorithms but if you think that your tool-knowledge (aka the programming languages) are good enough, you should start focus, more, on the algorithms.
A great book to start is: Introduction to Algorithms, from Thomas H. Cormen
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I have a 20,000 collection of master articles and I will get about 400,000 articles of one or two pages everyday. Now, I am trying to see if each one of this 400k articles are a copy or modified version of my collection of master articles (a threshold of above 60% plagiarism is fine with me)
What are the algorithms and technologies I should use to tackle the problem in a very efficient and timely manner.
Thanks
Fingerprint the articles (i.e. intelligently hash them based on the word frequency) and then look for statistical connection between the fingerprints. Then if there is a hunch on some of the data set, do a brute force search for matching strings on those.
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Possible Duplicate:
Why should I learn algorithms?
Hello, I'm a curious beginner and I don't understand how algorithms and data structures are useful in programming. Are they crucial for being a good programmer? Why should I learn them and how they actually help me when writing code?
Thanks so much!
They help you write efficient code and solve problems in optimal or near-optimal ways. Without them, you will be reinventing the wheel - not always successfully.
Also, they help you structure your code, so that it can be maintained more easily by encouraging a better design / implementation.
Algorithms and data structures are the basic tools of a programmer. They are as essential as a hammer (or nail gun) to a house framer. They are the tools that solve problems so you don't have to reinvent the solution.
You should understand what they are, why and how they work, and what their shortcomings are. Knowing this will save you a huge amount of time that could be wasted trying to solve a problem that has a solution.
You can get by programming without being proficient in a particular language, but you cannot program without the knowledge of data structures. Data structures are more of a Computer Science obsession. Each problem will have its own ideal data structure that fits naturally to it and to manipualte the data in the structure you will need algorithms.