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Looking for C++ Classes in Pune? Sunbeam Institute is the best C++ training institute in Pune. Get the Best CPP Programming Classes in Pune with experienced trainers.
Learn one of the world's most powerful programming languages c++ from Sunbeams Best C++ instructors today!"
In learning C Programming, you can master a C++ Programming language. C++ is an extension of C Programming and covers Object-Oriented Programming popularly known as OOPS Concepts. C++ is a powerful general-purpose programming language. It can be used to create small programs or large applications. It can be used to make scripts or DOS programs. C++ allows you to create programs to do almost anything you need to do.
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C++ Programming Language – A Detailed Overview
C++ is a effective, high-overall performance programming language advanced as an extension of the C language. Created via Bjarne Stroustrup at Bell Labs in the early Eighties, C++ delivered object-orientated features to the procedural shape of C, making it appropriate for large-scale software program development. Over the years, it has emerge as a extensively used language for machine/software program improvement, game programming, embedded systems, real-time simulations, and extra.
C ++ Online Compliers
C++ combines the efficiency and manage of C with functions like classes, items, inheritance, and polymorphism, permitting builders to construct complex, scalable programs.
2. Key Features of C++
Object-Oriented: C++ supports object-orientated programming (OOP), which include encapsulation, inheritance, and polymorphism.
Compiled Language: Programs are compiled to machine code for overall performance and portability.
Platform Independent (with Compiler Support): Though not inherently platform-unbiased, C++ programs can run on a couple of structures when compiled therefore.
Low-Level Manipulation: Like C, C++ permits direct reminiscence get right of entry to thru suggestions.
Standard Template Library (STL): C++ consists of powerful libraries for facts systems and algorithms.
Rich Functionality: Supports functions like feature overloading, operator overloading, templates, and exception dealing with.
3. Structure of a C++ Program
Here’s a primary C++ program:
cpp
Copy
Edit
#encompass <iostream>
the use of namespace std;
int important()
cout << "Hello, World!" << endl;
return zero;
Explanation:
#encompass <iostream> consists of the enter/output stream library.
Using namespace std; allows using standard capabilities like cout without prefixing std::.
Foremost() is the access point of every C++ program.
Cout prints textual content to the console.
Four. Data Types and Variables
C++ has both primitive and user-defined statistics types. Examples:
cpp
Copy
Edit
int a = 10;
glide b = 3.14;
char c = 'A';
bool isReady = true;
Modifiers like short, lengthy, signed, and unsigned extend the information sorts’ range.
5. Operators
C++ supports, !
Assignment Operators: =, +=, -=, and many others.
Increment/Decrement: ++, --
Bitwise Operators: &,
cout << "a is greater";
else
cout << "b is extra";
Switch Case:
cpp
Copy
Edit
transfer (desire)
case 1: cout << "One"; ruin;
case 2: cout << "Two"; smash;
default: cout << "Other";
Loops:
For Loop:
cpp
Copy
Edit
for (int i = zero; i < five; i++)
cout << i << " ";
While Loop:
cpp
Copy
Edit
int i = 0;
at the same time as (i < five)
cout << i << " ";
i++;
Do-While Loop:
cpp
Copy
Edit
int i = zero;
do
cout << i << " ";
i++;
whilst (i < 5);
7. Functions
Functions in C++ growth modularity and reusability.
Cpp
Copy
Edit
int upload(int a, int b)
go back a + b;
int major()
cout << upload(three, 4);
return 0;
Functions may be overloaded via defining multiple variations with special parameters.
Eight. Object-Oriented Programming (OOP)
OOP is a chief energy of C++. It makes use of instructions and objects to represent real-international entities.
Class and Object Example:
cpp
Copy
Edit
magnificence Car
public:
string logo;
int pace;
void display()
cout << brand << " velocity: " << pace << " km/h" << endl;
int main()
Car myCar;
myCar.Emblem = "Toyota";
myCar.Pace = 120;
myCar.Show();
go back zero;
9. OOP Principles
1. Encapsulation:
Binding facts and features into a unmarried unit (elegance) and proscribing get admission to the usage of private, public, or blanketed.
2. Inheritance:
Allows one magnificence to inherit properties from another.
Cpp
Copy
Edit
elegance Animal
public:
void talk() cout << "Animal sound" << endl;
;
class Dog : public Animal
public:
void bark() cout << "Dog barks" << endl;
; three. Polymorphism:
Same characteristic behaves in a different way primarily based at the item or input.
Function Overloading: Same feature name, special parameters.
Function Overriding: Redefining base magnificence method in derived magnificence.
Four. Abstraction:
Hiding complicated information and showing handiest vital capabilities the usage of training and interfaces (abstract training).
10. Constructors and Destructors
Constructor: Special approach known as while an item is created.
Destructor: Called whilst an item is destroyed.
Cpp
Copy
Edit
magnificence Demo
public:
Demo()
cout << "Constructor calledn";
~Demo()
cout << "Destructor calledn";
;
11. Pointers and Dynamic Memory
C++ supports tips like C, and dynamic memory with new and delete.
Cpp
Copy
Edit
int* ptr = new int; // allocate reminiscence
*ptr = 5;
delete ptr; // deallocate memory
12. Arrays and Strings
cpp
Copy
Edit
int nums[5] = 1, 2, three, 4, 5;
cout << nums[2]; // prints 3
string name = "Alice";
cout << call.Period();
C++ also supports STL boxes like vector, map, set, and many others.
Thirteen. Standard Template Library (STL)
STL offers established training and features:
cpp
Copy
Edit
#consist of <vector>
#consist of <iostream>
using namespace std;
int important()
vector<int> v = 1, 2, 3;
v.Push_back(four);
for (int i : v)
cout << i << " ";
STL includes:
Containers: vector, list, set, map
Algorithms: sort, discover, rely
Iterators: for traversing containers
14. Exception Handling
cpp
Copy
Edit
attempt
int a = 10, b = 0;
if (b == zero) throw "Division by means of 0!";
cout << a / b;
seize (const char* msg)
cout << "Error: " << msg;
Use attempt, capture, and throw for managing runtime errors.
15. File Handling
cpp
Copy
Edit
#consist of <fstream>
ofstream out("information.Txt");
out << "Hello File";
out.Near();
ifstream in("records.Txt");
string line;
getline(in, line);
cout << line;
in.Near();
File I/O is achieved the usage of ifstream, ofstream, and fstream.
16. Applications of C++
Game Development: Unreal Engine is primarily based on C++.
System Software: Operating systems, compilers.
GUI Applications: Desktop software (e.G., Adobe merchandise).
Embedded Systems: Hardware-level applications.
Banking and Finance Software: High-speed buying and selling systems.
Real-Time Systems: Simulations, robotics, and so on.
17. Advantages of C++
Fast and efficient
Wide range of libraries
Suitable for each high-level and low-level programming
Strong item-orientated aid
Multi-paradigm: procedural + object-oriented
18. Limitations of C++
Manual reminiscence management can lead to mistakes
Lacks contemporary protection functions (in contrast to Java or Python)
Steeper studying curve for beginners
No built-in rubbish series
19. Modern C++ (C++11/14/17/20/23)
Modern C++ variations introduced capabilities like:
Smart recommendations (shared_ptr, unique_ptr)
Lambda expressions
Range-based totally for loops
car kind deduction
Multithreading support
Example:
cpp
Copy
Edit
vector<int> v = 1, 2, three;
for (auto x : v)
cout << x << " ";
C++ is a effective, high-overall performance programming language advanced as an extension of the C language. Created via Bjarne Stroustrup at Bell Labs in the early Eighties, C++ delivered object-orientated features to the procedural shape of C, making it appropriate for large-scale software program development. Over the years, it has emerge as a extensively used language for machine/software program improvement, game programming, embedded systems, real-time simulations, and extra.
C ++ Online Compliers
C++ combines the efficiency and manage of C with functions like classes, items, inheritance, and polymorphism, permitting builders to construct complex, scalable programs.
2. Key Features of C++
Object-Oriented: C++ supports object-orientated programming (OOP), which include encapsulation, inheritance, and polymorphism.
Compiled Language: Programs are compiled to machine code for overall performance and portability.
Platform Independent (with Compiler Support): Though not inherently platform-unbiased, C++ programs can run on a couple of structures when compiled therefore.
Low-Level Manipulation: Like C, C++ permits direct reminiscence get right of entry to thru suggestions.
Standard Template Library (STL): C++ consists of powerful libraries for facts systems and algorithms.
Rich Functionality: Supports functions like feature overloading, operator overloading, templates, and exception dealing with.
3. Structure of a C++ Program
Here’s a primary C++ program:
cpp
Copy
Edit
#encompass <iostream>
the use of namespace std;
int important()
cout << "Hello, World!" << endl;
return zero;
Explanation:
#encompass <iostream> consists of the enter/output stream library.
Using namespace std; allows using standard capabilities like cout without prefixing std::.
Foremost() is the access point of every C++ program.
Cout prints textual content to the console.
Four. Data Types and Variables
C++ has both primitive and user-defined statistics types. Examples:
cpp
Copy
Edit
int a = 10;
glide b = 3.14;
char c = 'A';
bool isReady = true;
Modifiers like short, lengthy, signed, and unsigned extend the information sorts’ range.
5. Operators
C++ supports, !
Assignment Operators: =, +=, -=, and many others.
Increment/Decrement: ++, --
Bitwise Operators: &,
cout << "a is greater";
else
cout << "b is extra";
Switch Case:
cpp
Copy
Edit
transfer (desire)
case 1: cout << "One"; ruin;
case 2: cout << "Two"; smash;
default: cout << "Other";
Loops:
For Loop:
cpp
Copy
Edit
for (int i = zero; i < five; i++)
cout << i << " ";
While Loop:
cpp
Copy
Edit
int i = 0;
at the same time as (i < five)
cout << i << " ";
i++;
Do-While Loop:
cpp
Copy
Edit
int i = zero;
do
cout << i << " ";
i++;
whilst (i < 5);
7. Functions
Functions in C++ growth modularity and reusability.
Cpp
Copy
Edit
int upload(int a, int b)
go back a + b;
int major()
cout << upload(three, 4);
return 0;
Functions may be overloaded via defining multiple variations with special parameters.
Eight. Object-Oriented Programming (OOP)
OOP is a chief energy of C++. It makes use of instructions and objects to represent real-international entities.
Class and Object Example:
cpp
Copy
Edit
magnificence Car
public:
string logo;
int pace;
void display()
cout << brand << " velocity: " << pace << " km/h" << endl;
int main()
Car myCar;
myCar.Emblem = "Toyota";
myCar.Pace = 120;
myCar.Show();
go back zero;
9. OOP Principles
1. Encapsulation:
Binding facts and features into a unmarried unit (elegance) and proscribing get admission to the usage of private, public, or blanketed.
2. Inheritance:
Allows one magnificence to inherit properties from another.
Cpp
Copy
Edit
elegance Animal
public:
void talk() cout << "Animal sound" << endl;
;
class Dog : public Animal
public:
void bark() cout << "Dog barks" << endl;
; three. Polymorphism:
Same characteristic behaves in a different way primarily based at the item or input.
Function Overloading: Same feature name, special parameters.
Function Overriding: Redefining base magnificence method in derived magnificence.
Four. Abstraction:
Hiding complicated information and showing handiest vital capabilities the usage of training and interfaces (abstract training).
10. Constructors and Destructors
Constructor: Special approach known as while an item is created.
Destructor: Called whilst an item is destroyed.
Cpp
Copy
Edit
magnificence Demo
public:
Demo()
cout << "Constructor calledn";
~Demo()
cout << "Destructor calledn";
;
11. Pointers and Dynamic Memory
C++ supports tips like C, and dynamic memory with new and delete.
Cpp
Copy
Edit
int* ptr = new int; // allocate reminiscence
*ptr = 5;
delete ptr; // deallocate memory
12. Arrays and Strings
cpp
Copy
Edit
int nums[5] = 1, 2, three, 4, 5;
cout << nums[2]; // prints 3
string name = "Alice";
cout << call.Period();
C++ also supports STL boxes like vector, map, set, and many others.
Thirteen. Standard Template Library (STL)
STL offers established training and features:
cpp
Copy
Edit
#consist of <vector>
#consist of <iostream>
using namespace std;
int important()
vector<int> v = 1, 2, 3;
v.Push_back(four);
for (int i : v)
cout << i << " ";
STL includes:
Containers: vector, list, set, map
Algorithms: sort, discover, rely
Iterators: for traversing containers
14. Exception Handling
cpp
Copy
Edit
attempt
int a = 10, b = 0;
if (b == zero) throw "Division by means of 0!";
cout << a / b;
seize (const char* msg)
cout << "Error: " << msg;
Use attempt, capture, and throw for managing runtime errors.
15. File Handling
cpp
Copy
Edit
#consist of <fstream>
ofstream out("information.Txt");
out << "Hello File";
out.Near();
ifstream in("records.Txt");
string line;
getline(in, line);
cout << line;
in.Near();
File I/O is achieved the usage of ifstream, ofstream, and fstream.
16. Applications of C++
Game Development: Unreal Engine is primarily based on C++.
System Software: Operating systems, compilers.
GUI Applications: Desktop software (e.G., Adobe merchandise).
Embedded Systems: Hardware-level applications.
Banking and Finance Software: High-speed buying and selling systems.
Real-Time Systems: Simulations, robotics, and so on.
17. Advantages of C++
Fast and efficient
Wide range of libraries
Suitable for each high-level and low-level programming
Strong item-orientated aid
Multi-paradigm: procedural + object-oriented
18. Limitations of C++
Manual reminiscence management can lead to mistakes
Lacks contemporary protection functions (in contrast to Java or Python)
Steeper studying curve for beginners
No built-in rubbish series
19. Modern C++ (C++11/14/17/20/23)
Modern C++ variations introduced capabilities like:
Smart recommendations (shared_ptr, unique_ptr)
Lambda expressions
Range-based totally for loops
car kind deduction
Multithreading support
Example:
cpp
Copy
Edit
vector<int> v = 1, 2, three;
for (auto x : v)
cout << x << " ";
C Lanugage Compliers
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🚀 Global Launch: Machine Learning Using C++ Certification
We at EdChart, in proud partnership with our Global Digital Credential Partner Credly, are excited to announce the Machine Learning Using C++ Certification — a global recognition for developers proficient in C++ and artificial intelligence.
Whether you're a passionate coder, a job seeker, a freelancer, or an experienced AI engineer, this certification allows you to prove your skills with a single online exam — no classes, no bootcamps, no extra prep.
🎯 Why C++ for Machine Learning?
C++ is known for speed, control, and scalability. It powers performance-critical applications across AI, robotics, gaming, embedded systems, and autonomous systems. Now, with machine learning frameworks like Dlib, mlpack, and Shark, C++ is a top-tier choice for real-time AI model deployment.
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Real-world deployment with C++ ML libraries
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Algorithm implementation (KNN, SVM, Decision Trees)
Model evaluation and enhancement using C++
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From Zero to C++ Hero: The Ultimate Beginner’s Guide to Mastering C++ If you're reading this, chances are you're ready to dive into the world of programming and have chosen C++ as your starting point. Congratulations! C++ is a powerful, versatile language used in everything from game development to high-performance computing. But where should you begin? Learning C++ can seem daunting, especially if you're a beginner. Don't worry—this guide will walk you through the best ways to learn C++, step by step, in a way that’s engaging and effective. Why Learn C++? Before we dive into the how, let’s talk about the why. C++ is one of the foundational programming languages. It’s known for its: Performance: C++ is a compiled language, making it faster than many others. Versatility: It’s used in various domains like game development, operating systems, and even financial modeling. Career Opportunities: Mastering C++ can open doors to lucrative job roles. Understanding why C++ matters will keep you motivated as you tackle its complexities. Step 1: Get Familiar with the Basics 1.1 Understand What C++ Is C++ is an object-oriented programming language. It builds on C and introduces features like classes and inheritance, which make it powerful yet complex. 1.2 Install a Compiler and IDE Before writing any code, you need the right tools: Compiler: Popular choices include GCC and Clang. IDE: Visual Studio Code, Code::Blocks, or CLion are beginner-friendly. 1.3 Learn Syntax Basics Start with: Variables and data types Loops (for, while) Conditionals (if, else if, else) Functions There are plenty of beginner tutorials and videos to guide you through these. Step 2: Use Structured Learning Resources 2.1 Books "C++ Primer" by Stanley Lippman: Great for beginners. "Accelerated C++" by Andrew Koenig: Ideal for fast learners. 2.2 Online Courses Platforms like Udemy, Coursera, and Codecademy offer interactive courses: Look for beginner-friendly courses with hands-on projects. 2.3 Tutorials and Documentation The official C++ documentation and sites like GeeksforGeeks and Tutorialspoint are excellent references. Step 3: Practice, Practice, Practice 3.1 Start with Small Projects Begin with simple projects like: A calculator A number guessing game 3.2 Participate in Coding Challenges Platforms like HackerRank, LeetCode, and Codeforces offer challenges tailored for beginners. They’re a fun way to improve problem-solving skills. 3.3 Contribute to Open Source Once you're comfortable, contributing to open-source projects is a fantastic way to gain real-world experience. Step 4: Learn Advanced Topics As you gain confidence, dive into: Object-oriented programming (OOP) Data structures and algorithms File handling Memory management and pointers Step 5: Build Real-World Projects 5.1 Why Projects Matter Building projects will solidify your skills and make your portfolio stand out. 5.2 Project Ideas Simple Games: Like Tic-Tac-Toe or Snake. Basic Software: A to-do list or budgeting app. Algorithms Visualization: Create a visual representation of sorting algorithms. Step 6: Join Communities and Stay Updated 6.1 Online Forums Participate in forums like Stack Overflow or Reddit’s r/cpp to ask questions and share knowledge. 6.2 Meetups and Conferences If possible, attend local programming meetups or C++ conferences to network with professionals. 6.3 Follow Experts Stay updated by following C++ experts and blogs for tips and best practices. Tools and Resources Round-Up Here are some of the best tools to boost your learning: Compilers and IDEs GCC Visual Studio Code Online Platforms Codecademy HackerRank Books "C++ Primer" "Accelerated C++" Final Thoughts Learning C++ is a journey, not a sprint. Start with the basics, practice consistently, and don’t hesitate to seek help when stuck.
With the right resources and determination, you’ll be writing efficient, high-performance code in no time. Happy coding!
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What is the Difference between function overloading and function overriding?

The differences between function overloading and function overriding are fundamental to understanding how methods are managed in object-oriented programming. Here’s a detailed comparison:
### Function Overloading
**Definition**: Function overloading allows multiple functions with the same name but different parameter lists (types or numbers of parameters) to coexist in the same scope.
**Purpose**: It enables defining multiple methods with the same name but different signatures, making it easier to perform similar operations with different types or numbers of inputs.
**Scope**: Overloading occurs within the same class. The overloaded functions must have different parameter lists, but they can have the same or different return types.
**Resolution**: The compiler determines which function to call based on the number and types of arguments at compile time (compile-time polymorphism).
**Example**:
```cpp
class Math {
public:
int add(int a, int b) {
return a + b;
}
double add(double a, double b) {
return a + b;
}
};
```
### Function Overriding
**Definition**: Function overriding occurs when a subclass provides a specific implementation of a method that is already defined in its superclass. The overridden method in the subclass must have the same name, return type, and parameter list as the method in the superclass.
**Purpose**: It allows a subclass to modify or extend the behavior of a method inherited from the superclass, enabling runtime polymorphism and customized behavior.
**Scope**: Overriding occurs between a base (superclass) and derived (subclass) class. The method in the subclass must match the signature of the method in the superclass.
**Resolution**: The method to be invoked is determined at runtime based on the object type (runtime polymorphism). This allows different objects to invoke different versions of the method based on their actual class.
**Example**:
```cpp
class Animal {
public:
virtual void speak() {
std::cout << "Animal speaks" << std::endl;
}
};
class Dog : public Animal {
public:
void speak() override {
std::cout << "Dog barks" << std::endl;
}
};
```
### Summary of Key Differences
- **Purpose**:
- **Overloading**: Provides multiple methods with the same name but different parameters in the same class.
- **Overriding**: Customizes or extends the behavior of a method inherited from a superclass in a subclass.
- **Scope**:
- **Overloading**: Within the same class.
- **Overriding**: Between a superclass and a subclass.
- **Resolution**:
- **Overloading**: Resolved at compile time based on function signatures.
- **Overriding**: Resolved at runtime based on the actual object type.
Understanding these concepts helps in designing more flexible and maintainable object-oriented systems.
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LIVE ONLINE TRAINING COURSE
Regardless of its structure (sole proprietor, corporation, etc.) that makes “reportable transactions” during the year, any business is required to issue a 1099 to the recipient of income and the IRS. Form 1099-MISC compliance is a surprisingly complicated compliance requirement for businesses and accountants. The requirements are always changing, and answers are seldom clear-cut. This course will de-mystify some of the tricky areas relating to Form 1099-MISC, such as when the 1099 should be issued and whether a worker is a contractor or an employee.
This Online course includes the latest update on Form 1099-NEC which is being Resurrected by IRS & will be used to report payments made to independent contractors.
There are over 20 types of 1099s; this webinar will focus on the 2 most common types — Form 1099-NEC and Form 1099-MISC — while touching on many other types of forms. This webinar will cover a wide range of topics to help you and your clients stay in compliance with 1099 issues.
To stay compliant, practitioners must know which form to use to report specific transactions when forms must be filed or furnished to recipients to be on time, which information to include, and how to make sure it is accurate.
SESSION HIGHLIGHTS:
To explain how to determine payment amounts.
To analyze when corporations receive 1099s.
To identify the Form 1099-K exception to issuing 1099s.
To review the requirements for sending 1099s to the recipient.
To explore how to file 1099s with the IRS, including possible changes to the electronic filing threshold.
To discuss when a business needs to file Form 1099-MISC.
To analyze the usage of Form W-9.
To review and discuss CP-2100 letters and B-Notices.
To identify when a business needs to do backup withholding.
To explain the basics of Form 1099-INT.
To identify changes to various other 1099 forms.
Webinar covers the following Key Topics
Issuing 1099s, part 1·
Issuing 1099s, part 2
How to file
Form 1099-MISC
Form W-9
CP-2100 Letters
Backup withholding
Form 1099-INT
A quick rundown of what’s new with other types of 1099s
Who Should Attend:
This webinar is ideal for accountants, bookkeepers, office managers, human resources professionals, and compliance professionals who need to stay current on the latest 1099 rules and regulations. Don’t miss this opportunity to learn from our expert presenters and gain the knowledge you need to stay compliant and protect your business.
Certified Public Accountants (CPAs)
Certified Management Accountants (CMAs)
Certified Bookkeepers (CBs)
Certified Payroll Professionals (CPPs)
Human Resources Managers
Compliance Officers
Accounting Managers
Financial Controllers
Business Owners and Manager
During the Q&A session following the live event, ask a question, and get a direct response from our expert speaker.
Note: Those who register either for the “Recorded class” or the “E-transcript” will get access to the recorded class 24 hours after and within 48 hours of the live event.
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okay let's go back to it. somehow, despite very few preparations, i did get into the school — and now i kind of have no idea how to deal with it because my uni classes and that school's classes combined would resolve in about 50-70 hours of work per week..... so i want to do some preparation in order to make a few of my classes easier.
so, my plan for august is:
work through the cpp facultative course (i plan to start tomorrow)
start going through my uni's lectures on operating systems (this would make my uni's course easier and hopefully also help with the school's course on operating systems as well — the two are different and i'd say that the uni course is lighter but they both tackle *nix os, so)
i still plan to go through algo course lectures — on data structures specifically, because i still don't really understand tree rotations
some measures i need to take that don't involve studying:
find locations in my area that would allow me to sit w/ my laptop and/or notebooks and study for hours without an exorbitant fee. wifi is not necessary, but a socket for laptop is required. bonus points if it's beautiful/comfortable, but really all i need is a table, a chair and a socket
order wool for knitting that would allow me to relax between studies — i plan on doing a cardigan, i've already chosen the wool, now i just need to buy it
fix my sleep schedule
find a place for my therapy (my current one takes 1-1.5 hours to reach, and it's online anyway, i just can't do it at home)
buy a bag for laptop (my current one is starting to tear)
organize my closet, throw away stuff that i don't need that occupies my space — i want to be able to navigate it better
maybe i'll think of something else, but so far — that's it for august?
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The Life Teacher.
Career & Meeting Coaching.

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She also assists her clients think through their company relationships, being aware of how much more important these become in more elderly functions, and also how those relationships can be put in jeopardy otherwise managed as well as nurtured. Trains create a setting in which a coachee considers an issue that challenges them as well as where they wish to make development. The value of mentoring is that it permits a private to deal with a goal, impartial "assuming companion" who will allow them to focus on the problems that are very important to them and also to reach self-generated options.

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The Institute likewise gives training for leaders seeking a private as well as provocative room where they can gain a fresh point of view and improve their capability to respond effectively to any one of the challenges met as a leader. The Leadership List gives as well as possibility for the CPP Board to consider its toughness and locations for renovation in connection with the leadership of the CPP. It additionally gives specific Community Planning companions the opportunity to consider their very own management technique and also to determine personal enhancement activities. Objectives to sustain the change of civil services by using discussion approaches to improve the high quality of partnerships through conversations. The Ministry of Justice appointed us to supply excellent management advancement for those aiming for Chief Executive placements within the National Transgressor Administration Solution. She has actually spoken with and trained widely and also has supplied large range projects forLondon Underground, Santanderandthe NHS Management Academy.
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UA women's assistant to miss Florida game - WholeHogSports
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Posted: Wed, 13 Jan 2021 20:32:14 GMT [source]
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Important libraries for data science and Machine learning.
Python has more than 137,000 libraries which is help in various ways.In the data age where data is looks like the oil or electricity .In coming days companies are requires more skilled full data scientist , Machine Learning engineer, deep learning engineer, to avail insights by processing massive data sets.
Python libraries for different data science task:
Python Libraries for Data Collection
Beautiful Soup
Scrapy
Selenium
Python Libraries for Data Cleaning and Manipulation
Pandas
PyOD
NumPy
Spacy
Python Libraries for Data Visualization
Matplotlib
Seaborn
Bokeh
Python Libraries for Modeling
Scikit-learn
TensorFlow
PyTorch
Python Libraries for Model Interpretability
Lime
H2O
Python Libraries for Audio Processing
Librosa
Madmom
pyAudioAnalysis
Python Libraries for Image Processing
OpenCV-Python
Scikit-image
Pillow
Python Libraries for Database
Psycopg
SQLAlchemy
Python Libraries for Deployment
Flask
Django
Best Framework for Machine Learning:
1. Tensorflow :
If you are working or interested about Machine Learning, then you might have heard about this famous Open Source library known as Tensorflow. It was developed at Google by Brain Team. Almost all Google’s Applications use Tensorflow for Machine Learning. If you are using Google photos or Google voice search then indirectly you are using the models built using Tensorflow.
Tensorflow is just a computational framework for expressing algorithms involving large number of Tensor operations, since Neural networks can be expressed as computational graphs they can be implemented using Tensorflow as a series of operations on Tensors. Tensors are N-dimensional matrices which represents our Data.
2. Keras :
Keras is one of the coolest Machine learning library. If you are a beginner in Machine Learning then I suggest you to use Keras. It provides a easier way to express Neural networks. It also provides some of the utilities for processing datasets, compiling models, evaluating results, visualization of graphs and many more.
Keras internally uses either Tensorflow or Theano as backend. Some other pouplar neural network frameworks like CNTK can also be used. If you are using Tensorflow as backend then you can refer to the Tensorflow architecture diagram shown in Tensorflow section of this article. Keras is slow when compared to other libraries because it constructs a computational graph using the backend infrastructure and then uses it to perform operations. Keras models are portable (HDF5 models) and Keras provides many preprocessed datasets and pretrained models like Inception, SqueezeNet, Mnist, VGG, ResNet etc
3.Theano :
Theano is a computational framework for computing multidimensional arrays. Theano is similar to Tensorflow , but Theano is not as efficient as Tensorflow because of it’s inability to suit into production environments. Theano can be used on a prallel or distributed environments just like Tensorflow.
4.APACHE SPARK:
Spark is an open source cluster-computing framework originally developed at Berkeley’s lab and was initially released on 26th of May 2014, It is majorly written in Scala, Java, Python and R. though produced in Berkery’s lab at University of California it was later donated to Apache Software Foundation.
Spark core is basically the foundation for this project, This is complicated too, but instead of worrying about Numpy arrays it lets you work with its own Spark RDD data structures, which anyone in knowledge with big data would understand its uses. As a user, we could also work with Spark SQL data frames. With all these features it creates dense and sparks feature label vectors for you thus carrying away much complexity to feed to ML algorithms.
5. CAFFE:
Caffe is an open source framework under a BSD license. CAFFE(Convolutional Architecture for Fast Feature Embedding) is a deep learning tool which was developed by UC Berkeley, this framework is mainly written in CPP. It supports many different types of architectures for deep learning focusing mainly on image classification and segmentation. It supports almost all major schemes and is fully connected neural network designs, it offers GPU as well as CPU based acceleration as well like TensorFlow.
CAFFE is mainly used in the academic research projects and to design startups Prototypes. Even Yahoo has integrated caffe with Apache Spark to create CaffeOnSpark, another great deep learning framework.
6.PyTorch.
Torch is also a machine learning open source library, a proper scientific computing framework. Its makers brag it as easiest ML framework, though its complexity is relatively simple which comes from its scripting language interface from Lua programming language interface. There are just numbers(no int, short or double) in it which are not categorized further like in any other language. So its ease many operations and functions. Torch is used by Facebook AI Research Group, IBM, Yandex and the Idiap Research Institute, it has recently extended its use for Android and iOS.
7.Scikit-learn
Scikit-Learn is a very powerful free to use Python library for ML that is widely used in Building models. It is founded and built on foundations of many other libraries namely SciPy, Numpy and matplotlib, it is also one of the most efficient tool for statistical modeling techniques namely classification, regression, clustering.
Scikit-Learn comes with features like supervised & unsupervised learning algorithms and even cross-validation. Scikit-learn is largely written in Python, with some core algorithms written in Cython to achieve performance. Support vector machines are implemented by a Cython wrapper around LIBSVM.
Below is a list of frameworks for machine learning engineers:
Apache Singa is a general distributed deep learning platform for training big deep learning models over large datasets. It is designed with an intuitive programming model based on the layer abstraction. A variety of popular deep learning models are supported, namely feed-forward models including convolutional neural networks (CNN), energy models like restricted Boltzmann machine (RBM), and recurrent neural networks (RNN). Many built-in layers are provided for users.
Amazon Machine Learning is a service that makes it easy for developers of all skill levels to use machine learning technology. Amazon Machine Learning provides visualization tools and wizards that guide you through the process of creating machine learning (ML) models without having to learn complex ML algorithms and technology. It connects to data stored in Amazon S3, Redshift, or RDS, and can run binary classification, multiclass categorization, or regression on said data to create a model.
Azure ML Studio allows Microsoft Azure users to create and train models, then turn them into APIs that can be consumed by other services. Users get up to 10GB of storage per account for model data, although you can also connect your own Azure storage to the service for larger models. A wide range of algorithms are available, courtesy of both Microsoft and third parties. You don’t even need an account to try out the service; you can log in anonymously and use Azure ML Studio for up to eight hours.
Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by the Berkeley Vision and Learning Center (BVLC) and by community contributors. Yangqing Jia created the project during his PhD at UC Berkeley. Caffe is released under the BSD 2-Clause license. Models and optimization are defined by configuration without hard-coding & user can switch between CPU and GPU. Speed makes Caffe perfect for research experiments and industry deployment. Caffe can process over 60M images per day with a single NVIDIA K40 GPU.
H2O makes it possible for anyone to easily apply math and predictive analytics to solve today’s most challenging business problems. It intelligently combines unique features not currently found in other machine learning platforms including: Best of Breed Open Source Technology, Easy-to-use WebUI and Familiar Interfaces, Data Agnostic Support for all Common Database and File Types. With H2O, you can work with your existing languages and tools. Further, you can extend the platform seamlessly into your Hadoop environments.
Massive Online Analysis (MOA) is the most popular open source framework for data stream mining, with a very active growing community. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation. Related to the WEKA project, MOA is also written in Java, while scaling to more demanding problems.
MLlib (Spark) is Apache Spark’s machine learning library. Its goal is to make practical machine learning scalable and easy. It consists of common learning algorithms and utilities, including classification, regression, clustering, collaborative filtering, dimensionality reduction, as well as lower-level optimization primitives and higher-level pipeline APIs.
mlpack, a C++-based machine learning library originally rolled out in 2011 and designed for “scalability, speed, and ease-of-use,” according to the library’s creators. Implementing mlpack can be done through a cache of command-line executables for quick-and-dirty, “black box” operations, or with a C++ API for more sophisticated work. Mlpack provides these algorithms as simple command-line programs and C++ classes which can then be integrated into larger-scale machine learning solutions.
Pattern is a web mining module for the Python programming language. It has tools for data mining (Google, Twitter and Wikipedia API, a web crawler, a HTML DOM parser), natural language processing (part-of-speech taggers, n-gram search, sentiment analysis, WordNet), machine learning (vector space model, clustering, SVM), network analysis and visualization.
Scikit-Learn leverages Python’s breadth by building on top of several existing Python packages — NumPy, SciPy, and matplotlib — for math and science work. The resulting libraries can be used either for interactive “workbench” applications or be embedded into other software and reused. The kit is available under a BSD license, so it’s fully open and reusable. Scikit-learn includes tools for many of the standard machine-learning tasks (such as clustering, classification, regression, etc.). And since scikit-learn is developed by a large community of developers and machine-learning experts, promising new techniques tend to be included in fairly short order.
Shogun is among the oldest, most venerable of machine learning libraries, Shogun was created in 1999 and written in C++, but isn’t limited to working in C++. Thanks to the SWIG library, Shogun can be used transparently in such languages and environments: as Java, Python, C#, Ruby, R, Lua, Octave, and Matlab. Shogun is designed for unified large-scale learning for a broad range of feature types and learning settings, like classification, regression, or explorative data analysis.
TensorFlow is an open source software library for numerical computation using data flow graphs. TensorFlow implements what are called data flow graphs, where batches of data (“tensors”) can be processed by a series of algorithms described by a graph. The movements of the data through the system are called “flows” — hence, the name. Graphs can be assembled with C++ or Python and can be processed on CPUs or GPUs.
Theano is a Python library that lets you to define, optimize, and evaluate mathematical expressions, especially ones with multi-dimensional arrays (numpy.ndarray). Using Theano it is possible to attain speeds rivaling hand-crafted C implementations for problems involving large amounts of data. It was written at the LISA lab to support rapid development of efficient machine learning algorithms. Theano is named after the Greek mathematician, who may have been Pythagoras’ wife. Theano is released under a BSD license.
Torch is a scientific computing framework with wide support for machine learning algorithms that puts GPUs first. It is easy to use and efficient, thanks to an easy and fast scripting language, LuaJIT, and an underlying C/CUDA implementation. The goal of Torch is to have maximum flexibility and speed in building your scientific algorithms while making the process extremely simple. Torch comes with a large ecosystem of community-driven packages in machine learning, computer vision, signal processing, parallel processing, image, video, audio and networking among others, and builds on top of the Lua community.
Veles is a distributed platform for deep-learning applications, and it’s written in C++, although it uses Python to perform automation and coordination between nodes. Datasets can be analyzed and automatically normalized before being fed to the cluster, and a REST API allows the trained model to be used in production immediately. It focuses on performance and flexibility. It has little hard-coded entities and enables training of all the widely recognized topologies, such as fully connected nets, convolutional nets, recurent nets etc.
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I made that block post after I was messaged by the person I alerted about their post being stolen. The girl I exposed said "I had that in my camera roll for a long time. I didn't know who to credit." "you might want to think about watermarking" 😂 just don't take what isn’t yours? I messaged a polite message with a screenshot for proof. It's on the RU blocklist if you wanna get judgemental. I wasn't rude, I didn't call them anything but a thief. That's it. Why point fingers at me? What are you gaining from any of this? My age is extremely irrelevant to my being allowed to report something. If I remember correctly, I was bullied by 14/15--minor and still called the bully. Anon, are you happy with your life? Are you struggling at home? Are you unhappy with your work or classes? If you are, I'm really sorry. You don't deserve to struggle. Struggling is the worst. I don't like to struggle either. It makes me sad. I try to make my life as easy as possible by looking for the good in the world. Yes, it's corny, but it does help. My rl and online personality aren't different. My personality is bubbly, happy, helpful, kind and giving. I wish you could see past the online drama that I didn't want dug out. I'm a kind and sweet person, most people don't see it or don't care to see it. I'm willing to be anyone's friend and help the best I can. What you're seeing is a frustrated person that is always judged, accused of horrible things and treated unkindly. I put up with an awful ot, but no one seems to notice or care that I'm hurting. I'm seen as Bunny the "pėðø", Bunny the "bully", Bunny the "victim". It's all unnecessary hate. I've been told to die in my sleep, that I'm a disgusting person that is no better than a pėðø, I should rot in hell, that my Daddy would love me more if I starved myself. I've been framed, I've been impersonated, I've had a blog by CPP called babybunsworld-cancer. And I'm the bully? I never fed into it. Please find something else to do. Thanks- Babybunsworld ------------------------------------------------ -Lyra
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What are the best IB schools in Mumbai?

Mumbai has several international schools that offer IB programs.
Going to a top IB school gives the students an international exposure, and sets a path to pursue a quality higher education anywhere in the world.
IB tutors in Mumbai have thorough knowledge of online teaching methods which encourage students to learn and practice a particular subject daily.
Top 10 IB Schools in Mumbai
Bunts Sangha's SM Shetty International School:
This co-ed day school was established in 2008, located in Powai Mumbai.
It is ISO certified and holds multiple awards, including the British Council's ISA.
Curriculum:
Classes 9-10: CAIE and IB curricula with IGCSE certification
Classes 11-12: Choice of IBDP or CIE A-Levels
NSS Hill Spring International School
NSIS is a premium international school, located at Tardeo, Mumbai.
Curriculum:
Classes 9-10: PYP, IGCSE
IBDP board curricula
JBCN International School Oshiwara
This co-ed day school is located in Andheri West, Mumbai.
Curriculum:
IB (PYP and DP)
CIE (CIPP, IGCSE, A Levels)
ICSE
B.D. Somani International School
This co-ed day school was founded in 2006, located at Cuffe Parade, Mumbai.
Curriculum:
For classes 9 and 10: CIE IGCSE followed by IBDP curriculum
Goldcrest International School
One of the top international schools located at Vashi, Navi Mumbai.
Curriculum:
CAIE
Classes 6-8: Cambridge Secondary I program
Classes 9-10: IGCSE
Classes 11-12: A-Level
International Baccalaureate Diploma Programme (IBDP)
Bombay International School
Founded in 1962, BIS is a co-ed day school, located at Babulnath, Mumbai.
It offers education to students from primary to secondary levels.
Board: CISCE, CAIE, and International Baccalaureate (IB).
Curriculum:
Classes 11-12: International Baccalaureate Diploma Programme (IBDP)
Classes 9-10: Cambridge IGCSE
Primary level: PYP
The school also conducts international exchange programs with institutes in Spain and Germany.
Mainadevi Bajaj International School
This co-ed day school is owned by Rajasthani Sammelan Education Trust (RSET).
Board: CAIE and International Baccalaureate (IB)
Curriculum:
Cambridge CPP
Lower Secondary
IGCSE curriculum
Classes 11-12: IB Diploma Programme
Don Bosco International School
It is a co-ed day school located at Nathalal Parekh Marg Matunga, Mumbai.
Board: CAIE and International Baccalaureate (IB)
Curriculum:
PYP
Classes 6-10: Cambridge IGCSE
Classes 11-12: IB Diploma Programme
Ascend International School
This co-ed day school was established by Kasegaon Education Society, located at Bandra East, Mumbai.
Board: International Baccalaureate (IB)
Curriculum:
International Baccalaureate PYP
MYP
DP
Christ Church School
Christ Church School is a co-ed day school, part of the Bombay Education Society (BES).
Board: CISCE, CAIE, and International Baccalaureate (IB)
Curriculum:
Classes 6-10: Cambridge IGCSE
Classes 11-12: International Baccalaureate DP
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