'প্রযুক্তিতে নতুনের ছোঁয়া'

Copyright Free Audio Tracks

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<span style="font-size: large;"><b>S</b></span>ometimes you need copyright free audio track for your video clip or other tutorial videos for making your Youtube videos, but unfortunately, you are not allowed to used copyright content for making your Youtube video.In this purpose, you can use this copyright free audio track, which means if you use this audio track Youtube will not be able to claim you to violate copyright law.<br />
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Now I'm given you some most popular Youtube channel for copyright free audio tracks.<br />
<span style="font-size: large;"><br /></span> <span style="font-size: large;">1) <a href="https://www.youtube.com/user/NoCopyrightSounds" target="_blank">NCS- NoCopyrightSounds</a></span>
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<iframe width="560" height="315" src="https://www.youtube.com/embed/2UeMLPCL1Cs?list=PLRBp0Fe2GpgmsW46rJyudVFlY6IYjFBIK" frameborder="0" allowfullscreen></iframe>
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<span style="font-size: large;"><a href="https://www.youtube.com/channel/UCht8qITGkBvXKsR1Byln-wA" target="_blank"><b>2) Audio Library – No Copyright Music</b></a></span><br />
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<iframe width="560" height="315" src="https://www.youtube.com/embed/odCWcV6Jv90?list=PLzCxunOM5WFI6sgbAppnSgLQxxNg_d10L" frameborder="0" allowfullscreen></iframe>
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<b>note: before use, those tracks </b><b><b>must </b>read carefully their</b> <span style="color: red;"><b>Licence<span style="color: black;">.</span></b></span></div>

Copyright Free Audio Tracks

S ometimes you need copyright free audio track for your video clip or other tutorial videos for making your Youtube videos, but unfortunate...

Bangla Java Tutorial 1 : Getting Started

What is in the video? 1. Introduction 2. What is java? 3. Why should learn Java? 4.History of Java 5. How Java Code works 6. JDK & Ec...

C++ Programming for the Absolute Beginner pdf free download

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C++ Programming for the Absolute Beginner</h2>
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C++ Programming for the Absolute Beginner pdf free download

C++ Programming for the Absolute Beginner Download

Time complexity

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<span style="background-color: white; color: #222222; font-family: arial, sans-serif; font-size: 16px; line-height: 19px;">In computer science, the </span><b style="background-color: white; color: #222222; font-family: arial, sans-serif; font-size: 16px; line-height: 19px;">time complexity</b><span style="background-color: white; color: #222222; font-family: arial, sans-serif; font-size: 16px; line-height: 19px;"> of an algorithm quantifies the amount of </span><b style="background-color: white; color: #222222; font-family: arial, sans-serif; font-size: 16px; line-height: 19px;">time</b><span style="background-color: white; color: #222222; font-family: arial, sans-serif; font-size: 16px; line-height: 19px;"> taken by an algorithm to run as a function of the length of the string representing the input</span><span style="background-color: white; color: #222222; font-family: arial, sans-serif; font-size: 16px; line-height: 19px;">. The </span><b style="background-color: white; color: #222222; font-family: arial, sans-serif; font-size: 16px; line-height: 19px;">time complexity</b><span style="background-color: white; color: #222222; font-family: arial, sans-serif; font-size: 16px; line-height: 19px;"> of an algorithm is commonly expressed using big O notation, which excludes coefficients and lower order terms.</span><br />
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Source : <span style="background-color: white; color: #252525; font-family: sans-serif; font-size: 12.880000114440918px; line-height: 20px; text-align: left;"> </span><span style="background-color: white; color: #252525; font-family: sans-serif; font-size: 12.880000114440918px; line-height: 20px; text-align: left;">Wikipedia</span></div>
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Time complexity

In computer science, the time complexity of an algorithm quantifies the amount of time taken by an algorithm to run as a function of th...

Analysis of Algorithms | (Asymptotic Notations)

Proofs by Induction

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<span class="_Tgc">A <b>proof</b> by <b>induction</b> is just like an ordinary <b>proof</b>
 in which every step must be justified. However it employs a neat trick 
which allows you to prove a statement about an arbitrary number n by 
first proving it is true when n is 1 and then assuming it is true for 
n=k and showing it is true for n=k+1.</span><br />
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