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Best Language for Competitive Coding


   Almost all evaluators will accept C/C++, Java, and Python (unless if a problem is made for a particular language). So, as a programmer, you can choose either of the above-mentioned programming languages you are familiar with. But if you want your code to satisfy all time, space, and input range constraints (if any), then choosing the best programming language is very crucial. Here are some facts that will help you decide which language to go by for competitive programming.


C++


  1. C++ is the best choice for competitive programming by 75% of the programmers across the world, as it is usually faster than Java and Python

  2. Vast resources are available in C++

  3. C++ has a large library called STL (Standard Template Library) which helps competitive programmers during competition

  4. Fetching inputs from the user is much easier with C++, as you can use either cin or scanf

  5. You need not write your code inside a class in C++ every time

Python


  1. Python is a user-friendly language as its codes are shorter and easy than other languages

  2. It is used by most of the programmers in programs where there is a chance of integer overflow, as python has no limit on the integer value

  3. But the only drawback with the python is, it is slow

  4. In comparison to C/C++ and Java, it is slow and thus on online coding platforms, the time limit for Python is usually higher than that of other programming languages

Java


  1. Java is a complete Object-Oriented Programming Language

  2. It is the next most popular programming language after C/C++ in competitive programming

  3. It has many libraries called Collections and has an in-built library named as Big Integer to handle the numbers larger than 64-bit

  4. While it might be great for application building, it is not an ideal choice for Competitive Programming because it is a bit slower than C/C++

  5. Program lines are much lengthier than C++ and Python

  6. Fetching input using Scanner class, many times, leads to a TLE (Time Limit Exceed) problem

   So, every language has its own sets of Pros and Cons. Also, when it comes to the best language, you can choose one when you are equally good at all the languages. If not, then it's always better to go with the one that you think you are good at & sure about doing well.


Key Points to Remember:


  1. Easiest to code: Python
  2. Most powerful: C++
  3. Most likely to be useful in web/android applications: Java
  4. Order of run-time: Python (Max) > Java > C++ > C

Skills Required to Crack Product based Companies


Introduction:


   Learn from the basics, such as Analysis of Algorithms, Order of Growth


Mathematics:


   Learn Finding the number of digits in a number, Arithmetic and Geometric Progressions, Quadratic Equations, Mean and Median.


Bit Magic:


   Bitwise Operators in C++ and Java and many practices problems


Recursion:


   Introduction to Recursion, Applications of Recursion, Writing base cases in Recursion


Arrays:


   Introduction and Advantages, Types of Arrays, Operations on Arrays


Searching:


   Binary Search Iterative and Recursive, Binary Search and various associated problems


Sorting:


   Implementation of C++ STL sort () function in Arrays and Vectors, Sorting in Java, Arrays.sort() in Java, Collection.sort() in Java


Matrix:


   Introduction to Matrix in C++ and Java, Multidimensional Matrix, Pass Matrix as Argument, Printing matrix in a snake pattern


Hashing:


   Introduction and Time complexity analysis, Application of Hashing, Discussion on Direct Address Table


Strings:


   Discussion of String DS, Strings in CPP, Strings in Java, Problems


Linked List:


   Introduction, Doubly Linked List, Circular Linked List, Loop Problems


Stack:


   Understanding the Stack data structure, Applications of Stack, Implementation of Stack in Array and Linked List


Queue:


   Introduction and Application, Implementation of the queue using array and LinkedList


Deque:


   Introduction and Application, Implementation in C++ STL and Java and Problems


Tree:


   Introduction, Implementation in various Transversals


Binary Search Tree:


   Background, Introduction and Application, Implementation of Search in BST, Insertion in BST


Heap:


   Introduction & Implementation, Binary Heap, Heap Sort


Graph:


   Introduction to Graph, Graph Representation, Breadth-First Search


Greedy:


   Introduction, Activity Selection Problem, Fractional Knapsack


Backtracking:


   Concepts of Backtracking, Rat in a Maze, N Queen Problem, Sudoku Problem


Dynamic Programming:


   Introduction, Dynamic Programming, Problems


Trie:


   Introduction, Count Distinct Rows in a Binary Matrix


Segment Tree:


   Introduction, Construction, Range Query, Update Query


Disjoint Set:


   Introduction, Find and Union Operations, Union by Rank, Path Compression


Training Period


S. No. Name of the Training Duration of Training
1 E-Box 45 Days
2 InfyTq 30 Days
3 Wipro 45 Days
4 AWS Cloud Foundations 30 Days

Training Programs handled by Technical Training Team

S. No. Topic Name Module
1 Basic Language Constructs: Basic Syntax, Keywords, Identifiers, Datatypes, Variables, Constants, Operators, Expressions. Core Fundamentals
Module - 1
2 Input & Output Operations & Control Statements
3 Functions and Recursion
4 Pointers & Memory management
5 Storage Classes
6 Arrays, Strings
7 Structures, Unions
8 File operations
9 Linear Data Structures

  1. Stack
  2. Queue
  3. Linked List
Data Structures
Module - 2
10 Non-Linear Data Structures

  1. Trees
  2. Graphs
11 Analysis of Algorithms Algorithms
Module - 3
12 Searching and Sorting Algorithms
13 Strategies in Algorithm Design

  1. Iteration
  2. Recursion
  3. Brute force
  4. Backtracking
  5. Greedy Method (Heuristics)
  6. Divide and conquer
  7. Dynamic Programming
  8. Branch and bound
S. No. Topic Name Module
1 Basic Language Constructs: Basic Syntax, Keywords, Identifiers, Datatypes, Variables, Constants, Operators, Expressions. Core Fundamentals
Module - 1
2 Input & Output Operations & Control Statements
3 Lists, Tuples
4 Sets, Dictionary
5 Strings, Regular Expressions
6 Functions and Recursion
7 Modules and Packages, Date and Time Functions, File Handling
8 Classes, Objects, Constructors OOP Concepts
Module - 2
9 Encapsulation, Inheritance
10 Polymorphism, Abstraction
11 Exception Handling, Lambda Functions
12 Linked List Data Structures
Module - 3
13 Stack and Queue
14 Trees
15 Graphs
16 Hash Table
17 Analysis of Algorithms Algorithms
Module - 4
18 Searching and Sorting Algorithms
19 Greedy Strategy
20 Dynamic Programming
S. No. Topic Name
1 Basic Language Constructs: Basic Syntax, Keywords, Identifiers.
2 Datatypes, Variables, Constants, Operators, Expressions.
3 Input & Output Operations & Control Statements
4 Arrays, Strings and Regular Expressions
5 Wrapper Classes
6 Classes, Objects, Constructors
7 Inheritance, Polymorphism
8 Abstraction, Encapsulation, packages
9 Exception Handling, Lambda Functions
10 Inner Classes, Multithreading
11 Junit, Java I/O
12 Java Collection Framework: List – ArrayList, LinkedList, Vector, Stack
13 Queue – PriorityQueue, Deque, ArrayDeque
14 Set – HashSet, LinkedHashSet, SortedSet, TreeSet
15 Java Database Connectivity (JDBC)
16 Servlets
17 Java Server Pages (JSP)
S. No. Module
1 Introduction to File Systems and DBMS
2 Data Modelling
3 Relational Data Modelling
4 SQL - DDL, DML, DCL, TCL
5 Views and Indexes
6 Aggregate Functions
7 Joins, Set operations
8 Normalization
9 Transaction Management, Concurrency Control Techniques
10 Storage and Indexing
11 PL/SQL – Procedures, Functions, Cursers, Triggers
12 NoSQL Database Introduction
S. No. Topic Name
1 HTML
2 CSS
3 JavaScript
4 XML, JSON
5 AJAX, jQuery
S. No. Module
1 Cloud Concepts Overview
2 Cloud Economics and Billing
3 AWS Global Infrastructure Overview
4 AWS Cloud Security
5 Networking and Content Delivery
6 Compute
7 Storage
8 Databases
9 Cloud Architecture
10 Auto Scaling and Monitoring

Training Programs Organized


S. No. Training Program Date/s of Training Organized Target Benficiary
1 Wipro Talent NeXT Training Program
(J2SE, J2ME, Web Technologies & DBMS)
25-08-2021 to 30-09-2020 WIPRO-Talent NeXT Program Registered & Shortlisted Students
2 Problem Solving, Data Structures & Algorithms 25-08-2021 to 27-08-2021 Placement Registered Students
3 Problem Solving, Data Structures & Algorithms 19-07-2021 to 22-07-2021 Placement Registered Students
S. No. Training Program Date/s of Training Organized Target Benficiary
1 Problem Solving, Data Structures & Algorithms 24-05-2021 to 12-06-2021 Placements Registered Students
2 Problem Solving, Data Structures & Algorithms 12-04-2021 to 06-05-2021 Placements Registered Students
3 Infosys InfyTQ & HackWithInfy Training Program
(Problem Solving, OOP, Data Structures & Algorithms Through Python, DBMS)
27-03-2021 to 02-04-2021 Placements Registered Students
4 Problem Solving, Data Structures & Algorithms 02-01-2021 to 12-01-2021 Placements Registered Students
5 Wipro Talent NeXT Training Program
(J2SE, J2ME, Web Technologies & DBMS)
25-06-2020 to 14-08-2020 WIPRO-Talent NeXT Program
Registered & Shortlisted Students
S. No. Training Program Date/s of Training Organized Target Benficiary
1 TCS Codevita Training Program 18-05-2020 to 22-07-2020 Placements Registered Students
2 Infosys InfyTQ & HackWithInfy Training Program
(Problem Solving, OOP, Data Structures & Algorithms Through Python, DBMS)
03-03-2020 to 20-03-2020 InfyTQ & HackWithInfy Shortlisted Students for Final Test
3 Infosys InfyTQ & HackWithInfy Training Program
(Problem Solving, OOP, Data Structures & Algorithms Through Python, DBMS)
30-12-2019 to 23-02-2020 Placements Registered Students
4 Problem Solving, Data Structures & Algorithms 13-12-2019 to 20-12-2019 Placements Registered Students
5 Wipro Talent NeXT Training Program
(J2SE, J2ME, Web Technologies & DBMS)
05-08-2019 to 30-08-2019 WIPRO-Talent NeXT Program
Registered & Shortlisted Students
6 Problem Solving, Data Structures & Algorithms 29-6-2019 to 11-07-2019 Placements Registered Students