Free Resources to learn Maths for Machine Learning 🧠💡
📚Linear Algebra
📚Multivariate Calculus
📚Mathematics for Machine Learning
📚 Pattern Recognition and Machine Learning
📚 Probability and Statistics Cookbook
📚Linear Algebra
📚Multivariate Calculus
📚Mathematics for Machine Learning
📚 Pattern Recognition and Machine Learning
📚 Probability and Statistics Cookbook
👍2
Beginner's Series to: Node.js
by Microsoft
🎬 26 lessons
👨🏫 Multiple insturcotrs
✅ Completely free
Learning any new technology is a time-consuming process where it's easy to get lost. This is why we created this series of practical, bite-sized videos about Node.js for beginners so you can get up to speed quickly!
🔗 Course link
#nodejs #microsoft
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Share with your buddies! 🚀
by Microsoft
🎬 26 lessons
👨🏫 Multiple insturcotrs
✅ Completely free
Learning any new technology is a time-consuming process where it's easy to get lost. This is why we created this series of practical, bite-sized videos about Node.js for beginners so you can get up to speed quickly!
🔗 Course link
#nodejs #microsoft
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Docs
Beginner's Series to: Node.js
Learning any new technology is a time-consuming process where it's easy to get lost. This is why we created this series of practical, bite-sized videos about Node.js for beginners so you can get up to speed quickly!We choose to focus on the most important…
👍1
Python for Everybody (PY4E)
by Charles R. Severance (aka Dr. Chuck)
🎬 17 sections with multiple video lessons
👨🏫 Prof. Dr. Charles R. Severance
✅ Completely free
🔗 Link
#python
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by Charles R. Severance (aka Dr. Chuck)
🎬 17 sections with multiple video lessons
👨🏫 Prof. Dr. Charles R. Severance
✅ Completely free
🔗 Link
#python
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Learn Advanced MS Excel
http://bit.ly/3g8CRK1
Use below coupon code to get this paid course for Rs 1475 absolutely free
Coupon code: EXCELGIFT
You will also get certificate after completing the course ✅
ENJOY LEARNING👍
Join @coderslearning for more ✅
Share with your friends! 🚀
http://bit.ly/3g8CRK1
Use below coupon code to get this paid course for Rs 1475 absolutely free
Coupon code: EXCELGIFT
You will also get certificate after completing the course ✅
ENJOY LEARNING👍
Join @coderslearning for more ✅
Share with your friends! 🚀
🔥DSA PDFs/Books 🔥
Hello Friends ! Here is a free DSA book for you ❤
Download or save this link ASAP cause ill delete this after some time 😇
https://drive.google.com/drive/folders/1YCtYaSzzuqNulW6c7Rz_D735jzubxwI2?usp=sharing
Hello Friends ! Here is a free DSA book for you ❤
Download or save this link ASAP cause ill delete this after some time 😇
https://drive.google.com/drive/folders/1YCtYaSzzuqNulW6c7Rz_D735jzubxwI2?usp=sharing
DSA INTERVIEW QUESTIONS AND ANSWERS
1. What is the difference between file structure and storage structure?
The difference lies in the memory area accessed. Storage structure refers to the data structure in the memory of the computer system,
whereas file structure represents the storage structure in the auxiliary memory.
2. Are linked lists considered linear or non-linear Data Structures?
Linked lists are considered both linear and non-linear data structures depending upon the application they are used for. When used for
access strategies, it is considered as a linear data-structure. When used for data storage, it is considered a non-linear data structure.
3. How do you reference all of the elements in a one-dimension array?
All of the elements in a one-dimension array can be referenced using an indexed loop as the array subscript so that the counter runs
from 0 to the array size minus one.
4. What are dynamic Data Structures? Name a few.
They are collections of data in memory that expand and contract to grow or shrink in size as a program runs. This enables the programmer
to control exactly how much memory is to be utilized.Examples are the dynamic array, linked list, stack, queue, and heap.
5. What is a Dequeue?
It is a double-ended queue, or a data structure, where the elements can be inserted or deleted at both ends (FRONT and REAR).
6. What operations can be performed on queues?
enqueue() adds an element to the end of the queue
dequeue() removes an element from the front of the queue
init() is used for initializing the queue
isEmpty tests for whether or not the queue is empty
The front is used to get the value of the first data item but does not remove it
The rear is used to get the last item from a queue.
7. What is the merge sort? How does it work?
Merge sort is a divide-and-conquer algorithm for sorting the data. It works by merging and sorting adjacent data to create bigger sorted
lists, which are then merged recursively to form even bigger sorted lists until you have one single sorted list.
8.How does the Selection sort work?
Selection sort works by repeatedly picking the smallest number in ascending order from the list and placing it at the beginning. This process is repeated moving toward the end of the list or sorted subarray.
Scan all items and find the smallest. Switch over the position as the first item. Repeat the selection sort on the remaining N-1 items. We always iterate forward (i from 0 to N-1) and swap with the smallest element (always i).
Time complexity: best case O(n2); worst O(n2)
Space complexity: worst O(1)
9. What are the applications of graph Data Structure?
Transport grids where stations are represented as vertices and routes as the edges of the graph
Utility graphs of power or water, where vertices are connection points and edge the wires or pipes connecting them
Social network graphs to determine the flow of information and hotspots (edges and vertices)
Neural networks where vertices represent neurons and edge the synapses between them
10. What is an AVL tree?
An AVL (Adelson, Velskii, and Landi) tree is a height balancing binary search tree in which the difference of heights of the left
and right subtrees of any node is less than or equal to one. This controls the height of the binary search tree by not letting
it get skewed. This is used when working with a large data set, with continual pruning through insertion and deletion of data.
11. Differentiate NULL and VOID ?
Null is a value, whereas Void is a data type identifier
Null indicates an empty value for a variable, whereas void indicates pointers that have no initial size
Null means it never existed; Void means it existed but is not in effect
12. Do dynamic memory allocations help in managing data? How?
Dynamic memory allocation stores simple structured data types at runtime. It has the ability to combine separately allocated
structured blocks to form composite structures that expand and contract as needed, thus helping manage data of data blocks
of arbitrary size, in arbitrary order.
ENJOY LEARNING 👍👍
1. What is the difference between file structure and storage structure?
The difference lies in the memory area accessed. Storage structure refers to the data structure in the memory of the computer system,
whereas file structure represents the storage structure in the auxiliary memory.
2. Are linked lists considered linear or non-linear Data Structures?
Linked lists are considered both linear and non-linear data structures depending upon the application they are used for. When used for
access strategies, it is considered as a linear data-structure. When used for data storage, it is considered a non-linear data structure.
3. How do you reference all of the elements in a one-dimension array?
All of the elements in a one-dimension array can be referenced using an indexed loop as the array subscript so that the counter runs
from 0 to the array size minus one.
4. What are dynamic Data Structures? Name a few.
They are collections of data in memory that expand and contract to grow or shrink in size as a program runs. This enables the programmer
to control exactly how much memory is to be utilized.Examples are the dynamic array, linked list, stack, queue, and heap.
5. What is a Dequeue?
It is a double-ended queue, or a data structure, where the elements can be inserted or deleted at both ends (FRONT and REAR).
6. What operations can be performed on queues?
enqueue() adds an element to the end of the queue
dequeue() removes an element from the front of the queue
init() is used for initializing the queue
isEmpty tests for whether or not the queue is empty
The front is used to get the value of the first data item but does not remove it
The rear is used to get the last item from a queue.
7. What is the merge sort? How does it work?
Merge sort is a divide-and-conquer algorithm for sorting the data. It works by merging and sorting adjacent data to create bigger sorted
lists, which are then merged recursively to form even bigger sorted lists until you have one single sorted list.
8.How does the Selection sort work?
Selection sort works by repeatedly picking the smallest number in ascending order from the list and placing it at the beginning. This process is repeated moving toward the end of the list or sorted subarray.
Scan all items and find the smallest. Switch over the position as the first item. Repeat the selection sort on the remaining N-1 items. We always iterate forward (i from 0 to N-1) and swap with the smallest element (always i).
Time complexity: best case O(n2); worst O(n2)
Space complexity: worst O(1)
9. What are the applications of graph Data Structure?
Transport grids where stations are represented as vertices and routes as the edges of the graph
Utility graphs of power or water, where vertices are connection points and edge the wires or pipes connecting them
Social network graphs to determine the flow of information and hotspots (edges and vertices)
Neural networks where vertices represent neurons and edge the synapses between them
10. What is an AVL tree?
An AVL (Adelson, Velskii, and Landi) tree is a height balancing binary search tree in which the difference of heights of the left
and right subtrees of any node is less than or equal to one. This controls the height of the binary search tree by not letting
it get skewed. This is used when working with a large data set, with continual pruning through insertion and deletion of data.
11. Differentiate NULL and VOID ?
Null is a value, whereas Void is a data type identifier
Null indicates an empty value for a variable, whereas void indicates pointers that have no initial size
Null means it never existed; Void means it existed but is not in effect
12. Do dynamic memory allocations help in managing data? How?
Dynamic memory allocation stores simple structured data types at runtime. It has the ability to combine separately allocated
structured blocks to form composite structures that expand and contract as needed, thus helping manage data of data blocks
of arbitrary size, in arbitrary order.
ENJOY LEARNING 👍👍
👍2
Introduction to Python 3 (basics) - Learning to Program with Python 3
🎬 13 lessons
⏰ 2 hours of video + code examples and readings
🔗 Link to course
Intermediate Python Programming introduction
🎬 28 lessons
⏰ 4.5 hours of video + code examples and readings
🔗 Link to course
Sockets Tutorial with Python 3 part 1 - sending and receiving data
🎬 5 lessons
⏰ 100 minutes of video + code examples and readings
🔗 Link to course
#python
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🎬 13 lessons
⏰ 2 hours of video + code examples and readings
🔗 Link to course
Intermediate Python Programming introduction
🎬 28 lessons
⏰ 4.5 hours of video + code examples and readings
🔗 Link to course
Sockets Tutorial with Python 3 part 1 - sending and receiving data
🎬 5 lessons
⏰ 100 minutes of video + code examples and readings
🔗 Link to course
#python
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pythonprogramming.net
Python Programming Tutorials
Python Programming tutorials from beginner to advanced on a massive variety of topics. All video and text tutorials are free.
👍2
One of you guys asked about C++ materials, So here are few free C++ courses and learning materials:
C++ Tutorial for Complete Beginners
⭐️ 4.6 (41,345 ratings)
👨🎓 548,853 students
⏰ 17hr 59min of on-demand video
👨🏫 Created by John Purcell
🔗 Course link
————————————————-
University of Cambridge Department of Engineering offers a beginner’s resource for starting C++. Resources include local teaching; general references, tutorials and online resources.
🔗 Resources link
————————————————-
Programming Methodology course by Stanford University covers such advanced programming topics as recursion, algorithmic analysis, and data abstraction using the C++ programming language. Advanced memory management features of C and C++; the differences between imperative and object-oriented paradigms; concurrent programming (using C and C++) is covered in programming paradigm course.
🔗 Programming methodology course link
🔗 Programming paradigm course link
#cplusplus #c++ #cpp
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Share with your friends! 🚀
C++ Tutorial for Complete Beginners
⭐️ 4.6 (41,345 ratings)
👨🎓 548,853 students
⏰ 17hr 59min of on-demand video
👨🏫 Created by John Purcell
🔗 Course link
————————————————-
University of Cambridge Department of Engineering offers a beginner’s resource for starting C++. Resources include local teaching; general references, tutorials and online resources.
🔗 Resources link
————————————————-
Programming Methodology course by Stanford University covers such advanced programming topics as recursion, algorithmic analysis, and data abstraction using the C++ programming language. Advanced memory management features of C and C++; the differences between imperative and object-oriented paradigms; concurrent programming (using C and C++) is covered in programming paradigm course.
🔗 Programming methodology course link
🔗 Programming paradigm course link
#cplusplus #c++ #cpp
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Share with your friends! 🚀
👍5
Free Resources to learn C & C++ Programming
👇👇
Fundamentals of Programming Languages Free Udacity course
🔗 Course Link
C++ for Programmers Free Udacity Course
🔗 Course Link
C++ Tutorial for Complete Beginners Free Udemy Course
🔗 Course Link
C Programming documentation from Microsoft
🔗 Course Link
C Programming Free Book
🔗 Book Link
C++ Notes for Professional Free Book
🔗 Book Link
#c #cpp #cplusplus
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Share with your friends! 💯🚀
Enjoy Learning 👍
👇👇
Fundamentals of Programming Languages Free Udacity course
🔗 Course Link
C++ for Programmers Free Udacity Course
🔗 Course Link
C++ Tutorial for Complete Beginners Free Udemy Course
🔗 Course Link
C Programming documentation from Microsoft
🔗 Course Link
C Programming Free Book
🔗 Book Link
C++ Notes for Professional Free Book
🔗 Book Link
#c #cpp #cplusplus
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Share with your friends! 💯🚀
Enjoy Learning 👍
❤1
10 Ways to Speed Up Your Python Code
1. List Comprehensions
numbers = [x**2 for x in range(100000) if x % 2 == 0]
instead of
numbers = []
for x in range(100000):
if x % 2 == 0:
numbers.append(x**2)
2. Use the Built-In Functions
Many of Python’s built-in functions are written in C, which makes them much faster than a pure python solution.
3. Function Calls Are Expensive
Function calls are expensive in Python. While it is often good practice to separate code into functions, there are times where you should be cautious about calling functions from inside of a loop. It is better to iterate inside a function than to iterate and call a function each iteration.
4. Lazy Module Importing
If you want to use the time.sleep() function in your code, you don't necessarily need to import the entire time package. Instead, you can just do from time import sleep and avoid the overhead of loading basically everything.
5. Take Advantage of Numpy
Numpy is a highly optimized library built with C. It is almost always faster to offload complex math to Numpy rather than relying on the Python interpreter.
6. Try Multiprocessing
Multiprocessing can bring large performance increases to a Python script, but it can be difficult to implement properly compared to other methods mentioned in this post.
7. Be Careful with Bulky Libraries
One of the advantages Python has over other programming languages is the rich selection of third-party libraries available to developers. But, what we may not always consider is the size of the library we are using as a dependency, which could actually decrease the performance of your Python code.
8. Avoid Global Variables
Python is slightly faster at retrieving local variables than global ones. It is simply best to avoid global variables when possible.
9. Try Multiple Solutions
Being able to solve a problem in multiple ways is nice. But, there is often a solution that is faster than the rest and sometimes it comes down to just using a different method or data structure.
10. Think About Your Data Structures
Searching a dictionary or set is insanely fast, but lists take time proportional to the length of the list. However, sets and dictionaries do not maintain order. If you care about the order of your data, you can’t make use of dictionaries or sets.
1. List Comprehensions
numbers = [x**2 for x in range(100000) if x % 2 == 0]
instead of
numbers = []
for x in range(100000):
if x % 2 == 0:
numbers.append(x**2)
2. Use the Built-In Functions
Many of Python’s built-in functions are written in C, which makes them much faster than a pure python solution.
3. Function Calls Are Expensive
Function calls are expensive in Python. While it is often good practice to separate code into functions, there are times where you should be cautious about calling functions from inside of a loop. It is better to iterate inside a function than to iterate and call a function each iteration.
4. Lazy Module Importing
If you want to use the time.sleep() function in your code, you don't necessarily need to import the entire time package. Instead, you can just do from time import sleep and avoid the overhead of loading basically everything.
5. Take Advantage of Numpy
Numpy is a highly optimized library built with C. It is almost always faster to offload complex math to Numpy rather than relying on the Python interpreter.
6. Try Multiprocessing
Multiprocessing can bring large performance increases to a Python script, but it can be difficult to implement properly compared to other methods mentioned in this post.
7. Be Careful with Bulky Libraries
One of the advantages Python has over other programming languages is the rich selection of third-party libraries available to developers. But, what we may not always consider is the size of the library we are using as a dependency, which could actually decrease the performance of your Python code.
8. Avoid Global Variables
Python is slightly faster at retrieving local variables than global ones. It is simply best to avoid global variables when possible.
9. Try Multiple Solutions
Being able to solve a problem in multiple ways is nice. But, there is often a solution that is faster than the rest and sometimes it comes down to just using a different method or data structure.
10. Think About Your Data Structures
Searching a dictionary or set is insanely fast, but lists take time proportional to the length of the list. However, sets and dictionaries do not maintain order. If you care about the order of your data, you can’t make use of dictionaries or sets.
❤2
You asked me to resend some free Python courses shared here in the past.
So here you go:
1. Introduction to Computer Science and Programming in Python: From MIT, for free! 🙌🏼
No registration or download required
https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-0001-introduction-to-computer-science-and-programming-in-python-fall-2016/
Video lessons 🎥
Slides and code 👨💻
2. CS50’s Web Programming with Python and JavaScript by Harvard University:
HTML, CSS
Git
Python
Django
SQL, Models, and Migrations
JavaScript
User Interfaces
Testing, CI/CD
Scalability and Security
Start learning immediately, no registration or download required.
3. Python course by Google
🔗Link to Course
No registration or download needed.
4. Python for Beginners
Programming with Python
By Microsoft
Authors: Susan Ibach, GeekTrainer
🎬 44 episodes
⏰ 180 mins
🔗 Link to course
5. NOC:Programming, Data Structures and Algorithms using Python
⌛️ 6 weeks
👨🏫 45 lectures
🔗 Link to course
6. Scientific Computing with Python
Author: Dr. Charles Severance (also known as Dr. Chuck).
🎬 56 lessons
💻 5 scientific projects
📜 Free certification
🔗 Link to course
Additional materials:
Python Tutorial -> Condensed Cheatsheet
https://learnxinyminutes.com/docs/python3/
Free Python Books
A list of Python books in English that are free to read online or download.
⭐️ 2.6k
https://github.com/pamoroso/free-python-books
Learn Python the Hard Way
Author: Zed Shaw
Language: English
Level: Beginner
Online version (by the original author - no worries, this isn't a pirate link!) of the "Learn Python the Hard Way." book. It emphasizes repetition and concept understanding.
🔗https://learnpythonthehardway.org/python3/
#python #pythonbooks #pythoncourses
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Enjoy Learning 👍
So here you go:
1. Introduction to Computer Science and Programming in Python: From MIT, for free! 🙌🏼
No registration or download required
https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-0001-introduction-to-computer-science-and-programming-in-python-fall-2016/
Video lessons 🎥
Slides and code 👨💻
2. CS50’s Web Programming with Python and JavaScript by Harvard University:
HTML, CSS
Git
Python
Django
SQL, Models, and Migrations
JavaScript
User Interfaces
Testing, CI/CD
Scalability and Security
Start learning immediately, no registration or download required.
3. Python course by Google
🔗Link to Course
No registration or download needed.
4. Python for Beginners
Programming with Python
By Microsoft
Authors: Susan Ibach, GeekTrainer
🎬 44 episodes
⏰ 180 mins
🔗 Link to course
5. NOC:Programming, Data Structures and Algorithms using Python
⌛️ 6 weeks
👨🏫 45 lectures
🔗 Link to course
6. Scientific Computing with Python
Author: Dr. Charles Severance (also known as Dr. Chuck).
🎬 56 lessons
💻 5 scientific projects
📜 Free certification
🔗 Link to course
Additional materials:
Python Tutorial -> Condensed Cheatsheet
https://learnxinyminutes.com/docs/python3/
Free Python Books
A list of Python books in English that are free to read online or download.
⭐️ 2.6k
https://github.com/pamoroso/free-python-books
Learn Python the Hard Way
Author: Zed Shaw
Language: English
Level: Beginner
Online version (by the original author - no worries, this isn't a pirate link!) of the "Learn Python the Hard Way." book. It emphasizes repetition and concept understanding.
🔗https://learnpythonthehardway.org/python3/
#python #pythonbooks #pythoncourses
➖➖➖➖➖➖➖➖➖➖
👉Join @coderslearning for more👈
Share with your friends! 🚀
Enjoy Learning 👍
👍2
Web Development for Beginners by Microsoft
Authors: Jen Looper, Chris Noring, Christopher Harrison, Jasmine Greenaway, Yohan Lasorsa, Floor Drees, and sketchnote artist Tomomi Imura
🎬 24 lessons
Azure Cloud Advocates at Microsoft are pleased to offer a 12-week, 24-lesson curriculum all about JavaScript, CSS, and HTML basics. Each lesson includes pre- and post-lesson quizzes, written instructions to complete the lesson, a solution, an assignment and more. Our project-based pedagogy allows you to learn while building, a proven way for new skills to 'stick'.
🔗 Link to Course
🔗 Link to PDF
#webdev #webdevelopment #microsoft
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Join @coderslearning for more
Share with your friends! 🚀
Enjoy Learning 👍
Authors: Jen Looper, Chris Noring, Christopher Harrison, Jasmine Greenaway, Yohan Lasorsa, Floor Drees, and sketchnote artist Tomomi Imura
🎬 24 lessons
Azure Cloud Advocates at Microsoft are pleased to offer a 12-week, 24-lesson curriculum all about JavaScript, CSS, and HTML basics. Each lesson includes pre- and post-lesson quizzes, written instructions to complete the lesson, a solution, an assignment and more. Our project-based pedagogy allows you to learn while building, a proven way for new skills to 'stick'.
🔗 Link to Course
🔗 Link to PDF
#webdev #webdevelopment #microsoft
➖➖➖➖➖➖➖➖➖➖
Join @coderslearning for more
Share with your friends! 🚀
Enjoy Learning 👍
👍1
The fundamentals of programming - Python Tutorial
👨🏫 Teacher: Annyce Davis
🎬 39 short video lessons
📊 Level: beginner
✅ Free
Topics:
1. Programming Basics
2. Programming Syntax
3. Variables and Data Types
4. Conditional Code
5. Modular Code
🔗 Course link
#python #programming #learning
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Share with your friends! 🚀
👨🏫 Teacher: Annyce Davis
🎬 39 short video lessons
📊 Level: beginner
✅ Free
Topics:
1. Programming Basics
2. Programming Syntax
3. Variables and Data Types
4. Conditional Code
5. Modular Code
🔗 Course link
#python #programming #learning
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Share with your friends! 🚀
LinkedIn
The fundamentals of programming - Python Video Tutorial | LinkedIn Learning, formerly Lynda.com
In this video, Annyce provides a walkthrough of the course and a very special welcome.
👍1
Top Programming Interview Questions and Answers (General)
Question: Please explain what you understand by computer programming.
Answer: Also known as coding or programming, computer programming is the process of encoding an algorithm into a notation, typically a computer program, by means of some programming language so that it can be executed by a computer.
Each programming language contains a set of instructions for the computer to execute a set of tasks. Programming is a complex process that includes designing an algorithm, coding the same in a programming language, debugging a program, maintaining, and updating the code.
Question: Can you enumerate and explain the various types of errors that can occur during the execution of a computer program?
Answer: Three types of errors can occur during the execution of a computer program. These are:
Logical errors – This occurs in the scenario of a computer program implementing the wrong logic. As there is no report generated for these types of programming errors, they are the most difficult ones to deal with.
Runtime errors – Occurs when the program contains an illegal operation. For example, dividing a number by 0. These are the only errors that are displayed instantly during the program execution. Upon the occurrence of a runtime error, the program execution is stopped and a diagnostic message is displayed.
Syntax errors – Occurs when one or more grammatical rules of the programming language being used is violated. Such errors are detected during compile time.
Question: Please explain an algorithm. What are some of its important features?
Answer: An algorithm can be defined as a set of finite steps that when followed helps in accomplishing a particular task. Important features of an algorithm are clarity, efficiency, and finiteness.
Question: What do you understand by maintaining and updating a computer program?
Answer: The maintenance and updating process of a computer program starts post its successful installation. While program maintenance is the continuous process of monitoring the computer program for bugs and errors, updating the computer program means making it better with minor and major changes over time.
Question: Please provide a brief explanation on variables.
Answer: Variables are used for storing the input of a program as well as the computational results during program execution. These are actually named memory locations. The value stored in a variable can change during the program execution.
Question: Please explain what you understand by computer programming.
Answer: Also known as coding or programming, computer programming is the process of encoding an algorithm into a notation, typically a computer program, by means of some programming language so that it can be executed by a computer.
Each programming language contains a set of instructions for the computer to execute a set of tasks. Programming is a complex process that includes designing an algorithm, coding the same in a programming language, debugging a program, maintaining, and updating the code.
Question: Can you enumerate and explain the various types of errors that can occur during the execution of a computer program?
Answer: Three types of errors can occur during the execution of a computer program. These are:
Logical errors – This occurs in the scenario of a computer program implementing the wrong logic. As there is no report generated for these types of programming errors, they are the most difficult ones to deal with.
Runtime errors – Occurs when the program contains an illegal operation. For example, dividing a number by 0. These are the only errors that are displayed instantly during the program execution. Upon the occurrence of a runtime error, the program execution is stopped and a diagnostic message is displayed.
Syntax errors – Occurs when one or more grammatical rules of the programming language being used is violated. Such errors are detected during compile time.
Question: Please explain an algorithm. What are some of its important features?
Answer: An algorithm can be defined as a set of finite steps that when followed helps in accomplishing a particular task. Important features of an algorithm are clarity, efficiency, and finiteness.
Question: What do you understand by maintaining and updating a computer program?
Answer: The maintenance and updating process of a computer program starts post its successful installation. While program maintenance is the continuous process of monitoring the computer program for bugs and errors, updating the computer program means making it better with minor and major changes over time.
Question: Please provide a brief explanation on variables.
Answer: Variables are used for storing the input of a program as well as the computational results during program execution. These are actually named memory locations. The value stored in a variable can change during the program execution.
Which type of members can’t be accessed in derived classes of a base class?
Anonymous Quiz
25%
All can be accessed
24%
Protected
40%
Private
12%
Public
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Computer Science 61B, 002 - Spring 2015
Data structures
by UC Berkeley
👨🏫 Teacher: Joshua A. Hug
🎬 37 video lessons
⏰ 35 hours
✅ Free
🔗 Course link
#datastructures #algorithms #cs #dsa
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Data structures
by UC Berkeley
👨🏫 Teacher: Joshua A. Hug
🎬 37 video lessons
⏰ 35 hours
✅ Free
🔗 Course link
#datastructures #algorithms #cs #dsa
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Fundamentals of Programming
by Richard L. Halterman
July 11, 2019
📄 785 pages
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#cpp
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by Richard L. Halterman
July 11, 2019
📄 785 pages
🔗 Book link
#cpp
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