- Видео 136
- Просмотров 161 111
Codestars
Великобритания
Добавлен 27 сен 2017
Best-selling Udemy instructor Rob Percival wants to revolutionize the way people learn to code by making it simple, logical, fun and, above all, accessible. But as just one man, Rob couldn’t create all the courses his students - more than half a million of them - wanted.
That’s why Rob created Codestars. Together, the instructors that make up the Codestars team create courses on all the topics that students want to learn in the way that students want to learn them: courses that are well-structured, super interactive, and easy to understand. Codestars wants to make it as easy as possible for learners of all ages and levels to build functional websites and apps.
On this channel you'll find content from all our courses - including course previews and in-depth stand-alone lectures - all of which should give you a good idea or what we teach, how we teach it, and why we've taught over a million students to date!
Happy coding.
That’s why Rob created Codestars. Together, the instructors that make up the Codestars team create courses on all the topics that students want to learn in the way that students want to learn them: courses that are well-structured, super interactive, and easy to understand. Codestars wants to make it as easy as possible for learners of all ages and levels to build functional websites and apps.
On this channel you'll find content from all our courses - including course previews and in-depth stand-alone lectures - all of which should give you a good idea or what we teach, how we teach it, and why we've taught over a million students to date!
Happy coding.
Recursion vs Iteration - Complete Data Structures and Algorithms: Software Interviews
Introducing the Complete Data Structures and Algorithms: Software Interviews course!
This lecture dives in to using recursion or iteration when traversing the tree data structure.
Across the full course, students learn data structures and algorithms with Python, and solve technical questions by Google, Amazon, Meta, Netflix (and more!) In each practical section, students learn the theory, implement the solution and then practice with a technical question on the subject just covered.
You can find the full curriculum, and enrol, here: www.udemy.com/course/data-structures-and-algorithms-software-interviews/?referralCode=13F7BF744AEC8311636B
Happy coding!
This lecture dives in to using recursion or iteration when traversing the tree data structure.
Across the full course, students learn data structures and algorithms with Python, and solve technical questions by Google, Amazon, Meta, Netflix (and more!) In each practical section, students learn the theory, implement the solution and then practice with a technical question on the subject just covered.
You can find the full curriculum, and enrol, here: www.udemy.com/course/data-structures-and-algorithms-software-interviews/?referralCode=13F7BF744AEC8311636B
Happy coding!
Просмотров: 137
Видео
Big O Notation - Complete Data Structures and Algorithms: Software Interviews
Просмотров 562 года назад
Introducing the Complete Data Structures and Algorithms: Software Interviews course! This lecture gives an overview of Big O Notation (describing the performance or complexity of an algorithm) and how it'll be used in the course. Across the course students learn data structures and algorithms with Python, and solve technical questions by Google, Amazon, Meta, Netflix (and more!) In each practic...
Course Outline - Complete Data Structures and Algorithms: Software Interviews
Просмотров 582 года назад
Introducing the Complete Data Structures and Algorithms: Software Interviews course! Take a more detailed look at the course outline in this short lecture. Each section is looked at, with more information about the course's content and structure. Across the course students learn data structures and algorithms with Python, and solve technical questions by Google, Amazon, Meta, Netflix (and more!...
Introduction - Complete Data Structures and Algorithms: Software Interviews
Просмотров 1592 года назад
Introducing the Complete Data Structures and Algorithms: Software Interviews course! This first short lecture introduces the course and briefly outlines what will be covered over the 16 hours of teaching. Across the course students learn data structures and algorithms with Python, and solve technical questions by Google, Amazon, Meta, Netflix (and more!) In each practical section, students lear...
Visualising Joint Distribution - Probability/Stats: The Foundations of Machine Learning
Просмотров 2362 года назад
A simple concept with immense practical applications - master how to visualise joint distributions, and take your machine learning and data skills to the next level. 'Probability/Stats: The Foundations of Machine Learning' is a short, focused course from Codestars Professional and instructor Mohammad Nauman. In this course aimed at beginners, you’ll master the probability and statistics fundame...
Simulating coin flips - Probability/Stats: The Foundations of Machine Learning
Просмотров 722 года назад
Apply prob/stats concepts you've learn to code, and learn how to conduct experiments. 'Probability/Stats: The Foundations of Machine Learning' is a short, focused course from Codestars Professional and instructor Mohammad Nauman. In this course aimed at beginners, you’ll master the probability and statistics fundamentals you need to succeed in Machine Learning! Find out more about 'Probability/...
Entropy - Probability/Stats: The Foundations of Machine Learning
Просмотров 642 года назад
Entrophy is the foundation of machine learning, and this video dives in to the concept and it's application! 'Probability/Stats: The Foundations of Machine Learning' is a short, focused course from Codestars Professional and instructor Mohammad Nauman. In this course aimed at beginners, you’ll master the probability and statistics fundamentals you need to succeed in Machine Learning! Find out m...
Dispersion & spread in data, variance, standard dev - Prob/Stats: Foundations of Machine Learning
Просмотров 392 года назад
Understand the concepts of dispersion and spread in data, variance and standard deviation! 'Probability/Stats: The Foundations of Machine Learning' is a short, focused course from Codestars Professional and instructor Mohammad Nauman. In this course aimed at beginners, you’ll master the probability and statistics fundamentals you need to succeed in Machine Learning! Find out more about 'Probabi...
Uncertainty and probability intuition - Probability / Stats: The Foundations of Machine Learning
Просмотров 512 года назад
Can you quantify the concept of chance? Find out in this video lesson! 'Probability/Stats: The Foundations of Machine Learning' is a short, focused course from Codestars Professional and instructor Mohammad Nauman. In this course aimed at beginners, you’ll master the probability and statistics fundamentals you need to succeed in Machine Learning! Find out more about 'Probability/Stats: The Foun...
Quantifying Event: Random Variables - Probability/Stats: The Foundations of Machine Learning
Просмотров 512 года назад
In this video students master random variables, the difference between a mathmatics variable vs a coding variable, the assignation of experiment outcomes to variables and more. 'Probability/Stats: The Foundations of Machine Learning' is a short, focused course from Codestars Professional and instructor Mohammad Nauman. In this course aimed at beginners, you’ll master the probability and statist...
Central tendency, mean, median, mode - Probability / Stats: The Foundations of Machine Learning
Просмотров 602 года назад
In this video students learn more about central tendency (things which are in the middle of the data), mean, median, and mode! 'Probability/Stats: The Foundations of Machine Learning' is a short, focused course from Codestars Professional and instructor Mohammad Nauman. In this course aimed at beginners, you’ll master the probability and statistics fundamentals you need to succeed in Machine Le...
Getting started with Code + Data - Probability / Stats: The Foundations of Machine Learning
Просмотров 1182 года назад
In this video students dive in to data, and define and learn the basics of statistics! 'Probability/Stats: The Foundations of Machine Learning' is a short, focused course from Codestars Professional and instructor Mohammad Nauman. In this course aimed at beginners, you’ll master the probability and statistics fundamentals you need to succeed in Machine Learning! Find out more about 'Probability...
Python crash course - Probability/Stats: The Foundations of Machine Learning
Просмотров 2922 года назад
In this first lesson, learn how to set up your environment and take a crash course in Python syntax! 'Probability/Stats: The Foundations of Machine Learning' is a short, focused course from Codestars Professional and instructor Mohammad Nauman. In this course aimed at beginners, you’ll master the probability and statistics fundamentals you need to succeed in Machine Learning! Find out more abou...
Working with Multiple Terminals - Practical Linux Command Line 2.0
Просмотров 1,2 тыс.2 года назад
Welcome to the Practical Linux Command Line 2.0! In this lecture, students learn how to work productively by working with multiple terminals. Mastering Linux Command Line will help you: - Work faster and more efficiently on projects! - Handle multiple tasks like a pro, and work flexibly as you do! Students can learn on any Linux system (Debian, Ubuntu, CentOS, Fedora, or MacOS!) and no matter w...
Manage Users and Permissions - Practical Linux Command Line 2.0
Просмотров 672 года назад
Welcome to the Practical Linux Command Line 2.0! In this lecture focused on managing users and permissions, students learn what they can and can't do as 'your user' Mastering Linux Command Line will help you: - Work faster and more efficiently on projects! - Handle multiple tasks like a pro, and work flexibly as you do! Students can learn on any Linux system (Debian, Ubuntu, CentOS, Fedora, or ...
Create and Execute a Bash file - Practical Linux Command Line 2.0
Просмотров 7872 года назад
Create and Execute a Bash file - Practical Linux Command Line 2.0
Edit a File in the Terminal with Nano - Practical Linux Command Line 2.0
Просмотров 1,6 тыс.2 года назад
Edit a File in the Terminal with Nano - Practical Linux Command Line 2.0
Tips: Autocompletion, History and Clear the Terminal - Practical Linux Command Line 2.0
Просмотров 1072 года назад
Tips: Autocompletion, History and Clear the Terminal - Practical Linux Command Line 2.0
Navigate in the Terminal (pwd, Is, cd) - Practical Linux Command Line 2.0
Просмотров 732 года назад
Navigate in the Terminal (pwd, Is, cd) - Practical Linux Command Line 2.0
Introduction - Practical Linux Command Line 2.0
Просмотров 1342 года назад
Introduction - Practical Linux Command Line 2.0
Docker set up for Mac - Jenkins: Beginner to Pro
Просмотров 1873 года назад
Docker set up for Mac - Jenkins: Beginner to Pro
Docker set up for Windows - Jenkins: Beginner to Pro
Просмотров 193 года назад
Docker set up for Windows - Jenkins: Beginner to Pro
Reason for Docker - Jenkins: Beginner to Pro
Просмотров 153 года назад
Reason for Docker - Jenkins: Beginner to Pro
Why this course is different - Jenkins: Beginner to Pro
Просмотров 243 года назад
Why this course is different - Jenkins: Beginner to Pro
do u have calculus 2
it says FileNotFoundError, how to solve??
@codestars3384 HELLO, Are you available to maximize your Udemy course's potential! Our tailored marketing strategies ensure greater visibility, increased enrollments, and enhanced student engagement. Ready to see your course top the charts? Let’s connect! @PBG TEAM
Big ups!
Thank you
Hey Mike how to generate a joint probability table, please guide me.
Is there any discount on Udemy
I can see two courses listed on Udemy - please get me to the right one
How about mod(ulo) and integer division?
What is the point?
Great explanation.
Thanks mate, you did it good!! Is this in GitHub?
Can you please drop complete ethical hacking course video or you give me link to check it up thanks 😊 I have already subscribed
Nice
can someone explain why only the last few iterations per value of r are used?
My guess is that bifurcation diagrams are plotted equilibrium population against the value r. We take the last 10 ish percent because it guarantees that the population has time to reach equilibrium. Basically we want to see how the eqm population changes with each r so no point taking the front iterations.
Being Brand New to QT this was really tough but well worth it. The only thing which I found confusing was in the second phase of the course with the Project, the same variable name NewItem was used in the Main class as a Double Pointer, but then in other other classes and Functions as a single pointer. Then when being passed in as a Function both parameter and arguments were also both NewItem and so you had all these versions of NewItem running around, all needing you to know how they were scoped to recognise which one was being referred to. Would have been nice to separate the names a little. Still though, excellent course and I really liked it.
That is a really good explanation!
Thank you this was very helpful!
Great Explanation Bro. Best one I seen so far. I think its your emphasis on repeating the concepts in different ways
192 784
Thanku for clear explanation
Hello sir i need ur Gmail id please 🙏
I want to send u email with some questions about python please 🙏
Do you recommend this course for data Scientist ?
Cool and Fun Vid
Great!
thanks
Gmail??
Why don’t do it with unity?
Thanks For Sharing
GIVE ME LINK TO STEVE ASSET
Finally!!! understood about the cursor . Thank you soo much.
How can I calculate joint distribution for datasets which contain six variables. Each variable contain 0 or 1? how plot this joint distribution ? with python
brother can u give me this course
fantastic
Neekante na anna🤩
thanks for the video, i stuck at adding constraints to the ARSCNView, it's not clickable, can anyone help me with it?(i'm using Xcode 11, VIew as Iphone SE 2nd)
hi, you have a lot of experience in AR and I wanted to ask you whether you know how to build an AR measuring app that automatically measures something? Don't worry if you cannot respond, you are probably very busy... Thanks so much and please keep up the great content! Lots of support from Russia!
Sir my name is priyanshu i want to do this course but i belong to poor family in india and i can't afford this course in india if possible can you please do something please any help will be appreciated 😭😭😭😭
🙏🙏Very nice .. 👍 thanks for the video 😍😍
Excelent!
Thank you very much for this video. Why plt.xlim is written like that it is different than plt.ylim. I tried to write it similar than plt.ylim and it works. So can you explain please why you write it like that?
Hi Rob I bought your course via StackSkills. For my website the "public_html" is empty. Can you please advise what folders/how to generate the folders that public_html should contain? Any youtube video or a blog will be great. Thanks
no
Can you supply the asset for this course. Many thanks
This course is brilliant.Thank you
Sorry,but Colt is better 🤜🤛, I like your android developer course and loved that💓
what is colt ?
@@adamjohnson0 Colt is an instructor of Web on Udemy.
*Codestars* ខ្ញុំមកហើយ
Bro can you upload all the videos for this course in youtube or can I get this course for free bro,I am interested in learning bug bounty stuffs very much,plz bro help me out!
Hi Pavan, thanks for the interest! I can't upload the whole course to youtube, but I hope these videos give a good sense of the lectures. Check out the course on Udemy, where you can also speak to Atil (the instructor) directly in the Q&A forum!
@@codestars3384 Can i get this course for free bro,I couldn't afford that much bro,plz bro help me out
@@OxOv3rH4uL yes bro you can
@@akshatsheth4182 ye
@@OxOv3rH4uL hi, did you get the course for free? I am looking for same course
Very out of date.
Ah you got run out of jobs by Indian Mafia also.
holy shit dude are you going to make the complete developer course 2.0 free i am first btw
What!!! Is it true? I bought the course in March this year for 399 on Udemy. I am taking the course right now. No doubt it's wonderful.
Need help