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Latest JavaScript String Methods: A Comprehensive Guide

JavaScript is a versatile programming language that offers a wide range of built-in methods to manipulate strings. These methods allow developers to perform various operations on strings, such as searching, replacing, and extracting specific parts of the text. In this blog post, we will explore some of the latest JavaScript string methods along with their example codes. 1. includes() The includes() method checks if a string contains a specific substring and returns true or false. This method is case-sensitive. const str = “Learn JavaScript in Ranchi”; console.log(str.includes(“JavaScript”)); // Output: true console.log(str.includes(“Python”)); // Output: false 2. startsWith() The startsWith() method checks if a string starts with a specified substring and returns true or false. This method is case-sensitive. const str = “Learn JavaScript in Ranchi”; console.log(str.startsWith(“Learn”)); // Output: true console.log(str.startsWith(“Ranchi”)); // Output: false 3. endsWith() The endsWith() method checks if a string ends with a specified substring and returns true or false. This method is case-sensitive. const str = “Learn JavaScript in Ranchi”; console.log(str.endsWith(“Ranchi”)); // Output: true console.log(str.endsWith(“JavaScript”)); // Output: false 4. repeat() The repeat() method returns a new string by concatenating the original string a specified number of times. const str = “JavaScript “; console.log(str.repeat(3)); // Output: “JavaScript JavaScript JavaScript ” 5. padStart() The padStart() method pads the beginning of a string with a specified character until the resulting string reaches a desired length. const str = “JavaScript”; console.log(str.padStart(15, “*”)); // Output: “****JavaScript” 6. padEnd() The padEnd() method pads the end of a string with a specified character until the resulting string reaches a desired length. const str = “JavaScript”; console.log(str.padEnd(15, “*”)); // Output: “JavaScript****” 7. trim() The trim() method removes whitespace from both ends of a string. const str = ” JavaScript “; console.log(str.trim()); // Output: “JavaScript” 8. trimStart() The trimStart() method removes whitespace from the beginning of a string. const str = ” JavaScript “; console.log(str.trimStart()); // Output: “JavaScript ” 9. trimEnd() The trimEnd() method removes whitespace from the end of a string. const str = ” JavaScript “; console.log(str.trimEnd()); // Output: ” JavaScript” 10. replace() The replace() method replaces a specified substring with another substring. const str = “Learn JavaScript in Ranchi”; console.log(str.replace(“JavaScript”, “Python”)); // Output: “Learn Python in Ranchi” These are just a few of the latest JavaScript string methods. By understanding and utilizing these methods effectively, you can enhance your string manipulation capabilities and create more powerful JavaScript applications. Keep exploring and experimenting with JavaScript to unleash its full potential!

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Mastering Python: A Comprehensive Guide for Beginners

Programming / teamemancipation

Introduction Python is a versatile and powerful programming language that has gained immense popularity in recent years. Whether you are a beginner or an experienced developer, learning Python can open up a world of possibilities. In this comprehensive guide, we will dive into the basics of Python, covering key concepts and syntax. This article will serve as a go-to resource for those starting their Python journey. Why Python? Python’s simplicity and readability make it an ideal choice for beginners. Its clean syntax allows developers to express concepts in fewer lines of code compared to other programming languages. Python’s extensive standard library and large community support make it easy to find solutions to common programming problems. Getting Started To start your Python journey, you need to have Python installed on your computer. Python is available for all major operating systems, and installation instructions can be found on the official Python website. Once installed, you can run Python code using an Integrated Development Environment (IDE) or a text editor. Basic Syntax Python uses indentation to define blocks of code, making it highly readable. Here is an example of a simple Python program that prints “Hello, World!”: print(“Hello, World!”) Python is an object-oriented programming language, meaning it treats data as objects. It supports various data types, including numbers, strings, lists, tuples, and dictionaries. Here are some examples: # Numbers x = 5 y = 2.5 # Strings name = “John Doe” # Lists fruits = [“apple”, “banana”, “orange”] # Tuples coordinates = (10, 20) # Dictionaries person = {“name”: “John”, “age”: 30} Control Flow Python provides several control flow statements, such as if-else, for loops, and while loops, to control the execution of code. Here is an example of an if-else statement: x = 10 if x > 5: print(“x is greater than 5”) else: print(“x is less than or equal to 5”) Python also supports list comprehensions, which provide a concise way to create lists based on existing lists. Here is an example: numbers = [1, 2, 3, 4, 5] squared_numbers = [x ** 2 for x in numbers] print(squared_numbers) # Output: [1, 4, 9, 16, 25] Python Examples Let’s explore some practical examples of Python code: Example 1: Calculating the Average Here is a Python function that calculates the average of a list of numbers: def calculate_average(numbers): total = sum(numbers) average = total / len(numbers) return average numbers = [1, 2, 3, 4, 5] print(calculate_average(numbers)) # Output: 3.0 Example 2: Web Scraping Python’s simplicity and powerful libraries make it an excellent choice for web scraping. Here is an example of scraping data from a website using the BeautifulSoup library: import requests from bs4 import BeautifulSoup url = “https://example.com” response = requests.get(url) soup = BeautifulSoup(response.text, “html.parser”) title = soup.find(“h1”).text print(title) Conclusion Python is a versatile and beginner-friendly programming language. In this comprehensive guide, we covered the basics of Python, including key concepts, syntax, and provided some practical examples. Whether you are a beginner or an experienced developer, mastering Python can greatly enhance your programming skills and open up new opportunities. So, dive into Python and start your coding journey today!

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Common Problems in Java Programming and How to Solve Them

Java Programming / teamemancipation

NullPointerException A NullPointerException is a common runtime exception that occurs when a program attempts to access an object or invoke a method on an object that is null. This error often happens when a variable is not properly initialized or when a method returns null instead of an object. Example: ArrayIndexOutOfBoundsException An ArrayIndexOutOfBoundsException is thrown when attempting to access an array element with an index outside the bounds of the array. This can happen when the index is negative, or when it exceeds the length of the array. Example: Concurrency Issues Java supports multi-threading, which can lead to concurrency issues such as race conditions, deadlocks, and thread interference. These problems occur when multiple threads access shared resources concurrently and interfere with each other’s operations. Example: In the above example, if multiple threads simultaneously call the increment() method on the same Counter object, the count may not be incremented correctly due to race conditions. Memory Leaks Improper memory management can result in memory leaks, where objects are not properly deallocated, leading to increased memory consumption over time. This can happen when objects are not explicitly released or when references to objects are not properly removed. Example:

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Brute Force Approach and Implementation in Top Programming Languages

Programming / teamemancipation

Introduction When it comes to solving complex problems, programmers often rely on different algorithms and techniques. One such technique is the brute force approach, which involves trying every possible solution until the correct one is found. In this blog post, we will explore the concept of brute force approach and its implementation in some of the top programming languages like C, C++, Java, and Python. What is Brute Force Approach? The brute force approach, also known as exhaustive search, is a straightforward method of solving problems by systematically checking all possible solutions. It involves generating all possible combinations or permutations of the problem space and evaluating each one until the correct solution is found. While the brute force approach may not be the most efficient solution for large-scale problems, it is often used when the problem size is small or when the time complexity is not a major concern. Brute Force Implementation in C In C programming, the brute force approach can be implemented using loops and conditional statements. The basic idea is to generate all possible combinations or permutations and check each one against the problem constraints. For example, let’s say we want to find all possible combinations of a given set of numbers. We can use nested loops to generate all combinations and print them. #include <stdio.h> void printCombinations(int arr[], int n) { for(int i = 0; i < n; i++) { for(int j = i+1; j < n; j++) { printf(“%d %dn”, arr[i], arr[j]); } } } int main() { int arr[] = {1, 2, 3, 4}; int n = sizeof(arr) / sizeof(arr[0]); printCombinations(arr, n); return 0; } This code will generate all possible combinations of the array [1, 2, 3, 4] and print them. Brute Force Implementation in C++ In C++, the brute force approach can be implemented using similar techniques as in C. The language provides additional features like vectors and algorithms that can simplify the implementation. Let’s consider the same example of finding all combinations of a given set of numbers. We can use nested loops and the vector class to achieve this. #include <iostream> #include <vector> using namespace std; void printCombinations(vector<int> arr) { int n = arr.size(); for(int i = 0; i < n; i++) { for(int j = i+1; j < n; j++) { cout << arr[i] << ” ” << arr[j] << endl; } } } int main() { vector<int> arr = {1, 2, 3, 4}; printCombinations(arr); return 0; } This code will produce the same output as the C implementation. Brute Force Implementation in Java In Java, the brute force approach can be implemented using loops and conditional statements, similar to C and C++. Java provides additional features like arrays and collections that can be used to simplify the implementation. Here is an example of finding all combinations of a given set of numbers in Java: import java.util.ArrayList; import java.util.List; public class BruteForce { public static void printCombinations(List<Integer> arr) { int n = arr.size(); for(int i = 0; i < n; i++) { for(int j = i+1; j < n; j++) { System.out.println(arr.get(i) + ” ” + arr.get(j)); } } } public static void main(String[] args) { List<Integer> arr = new ArrayList<>(); arr.add(1); arr.add(2); arr.add(3); arr.add(4); printCombinations(arr); } } Brute Force Implementation in Python In Python, the brute force approach can be implemented using loops and conditional statements. Python provides additional features like list comprehensions that can simplify the implementation. Here is an example of finding all combinations of a given set of numbers in Python: def print_combinations(arr): n = len(arr) for i in range(n): for j in range(i+1, n): print(arr[i], arr[j]) arr = [1, 2, 3, 4] print_combinations(arr) Conclusion The brute force approach is a simple yet powerful technique for solving problems by checking all possible solutions. While it may not be the most efficient solution for large-scale problems, it can be useful in certain scenarios. In this blog post, we explored the concept of brute force approach and its implementation in top programming languages like C, C++, Java, and Python.

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Finding a Pair with the Given Sum in an Array

Data Structures and Algorithms / teamemancipation

Finding a Pair with the Given Sum in an Array Given an unsorted integer array, we need to find a pair of numbers in the array that add up to a given sum. If such a pair exists, we will return the pair of numbers. Otherwise, we will indicate that no pair was found. Problem Statement Let’s consider the following problem: Given an unsorted integer array and a target sum, we need to find a pair of numbers in the array that add up to the target sum. Example 1: Input: nums = [8, 7, 2, 5, 3, 1], target = 10 Output: Pair found (8, 2) or Pair found (7, 3) Example 2: Input: nums = [5, 2, 6, 8, 1, 9], target = 12 Output: Pair not found Solution There are multiple approaches to solve this problem. Here, we will discuss two commonly used approaches: Brute Force Approach Hashing Approach 1. Brute Force Approach The brute force approach involves checking each pair of numbers in the array to see if their sum equals the target sum. We can achieve this by using two nested loops. The outer loop will iterate through each element in the array, and the inner loop will iterate through the remaining elements to find a pair. Here is the step-by-step algorithm for the brute force approach: Initialize two pointers, i and j, to iterate through the array. Iterate through each element in the array using the outer loop (pointer i). For each element, iterate through the remaining elements using the inner loop (pointer j). Check if the sum of the current pair of numbers equals the target sum. If a pair is found, return the pair. If no pair is found after checking all possible pairs, return “Pair not found”. 2. Hashing Approach The hashing approach involves using a hash table to store the difference between the target sum and each element in the array. We can then check if the difference exists in the hash table. If it does, we have found a pair that adds up to the target sum. Here is the step-by-step algorithm for the hashing approach: Create an empty hash table. Iterate through each element in the array. Calculate the difference between the target sum and the current element. Check if the difference exists in the hash table. If the difference exists, return the pair (current element, difference). If the difference does not exist, add the current element to the hash table. If no pair is found after checking all elements, return “Pair not found”. Conclusion In this blog post, we discussed the problem of finding a pair with the given sum in an array. We explored two approaches to solve this problem: the brute force approach and the hashing approach. Both approaches have their own advantages and disadvantages, and the choice of approach depends on the specific requirements of the problem.

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Why It’s Important to Know Data Structure

Computer Science / teamemancipation

Understanding the Importance of Data Structure Data structure is a fundamental concept in computer science that plays a crucial role in organizing and manipulating data efficiently. It provides a way to store and retrieve data in a structured manner, allowing for faster and more efficient data processing. Whether you are pursuing a certificate in computer application or data science coaching in Ranchi, Jharkhand, having a solid understanding of data structure is essential for success. Efficient Data Processing One of the main reasons why it is important to know data structure is because it enables efficient data processing. By organizing data in a specific structure, such as arrays, linked lists, or trees, you can perform operations on the data more efficiently. For example, searching, inserting, and deleting elements from a sorted array can be done in logarithmic time complexity, whereas performing the same operations on an unsorted array would require linear time complexity. Optimized Resource Utilization Another reason why data structure is important is because it allows for optimized resource utilization. By choosing the right data structure for a specific task, you can minimize the amount of memory and processing power required. This is especially crucial in applications where resources are limited, such as in embedded systems or mobile devices. Understanding data structure helps you make informed decisions about which data structure to use in order to achieve the best performance with the available resources. Problem Solving and Algorithm Design Data structure is closely related to problem solving and algorithm design. Many complex algorithms and data manipulation techniques rely on a solid understanding of data structure. By knowing various data structures and their properties, you can choose the most appropriate one for a given problem, and design efficient algorithms to solve it. Whether you are working on a coding challenge, developing a software application, or analyzing large datasets, having a strong foundation in data structure will greatly enhance your problem-solving skills. Career Opportunities Knowing data structure opens up a wide range of career opportunities in the field of computer science. Many job roles, such as software engineer, data scientist, and systems analyst, require a strong understanding of data structure. Employers value candidates who can efficiently manipulate and process data, as it is a critical skill in today’s data-driven world. Whether you are pursuing a certificate in computer application or data science coaching in Ranchi, Jharkhand, having a solid knowledge of data structure will make you stand out in the job market. Conclusion In conclusion, understanding data structure is crucial for efficient data processing, optimized resource utilization, problem solving, algorithm design, and career opportunities. Whether you are pursuing a certificate in computer application or data science coaching in Ranchi, Jharkhand, investing time and effort in learning data structure will pay off in the long run. It is a fundamental concept that forms the backbone of computer science and empowers you to become a skilled and successful professional.

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The Famous Limitations of Python Programming Language

Programming / teamemancipation

The Famous Limitations of Python Programming Language Python is a popular programming language known for its simplicity and versatility. It is widely used in various domains including web development, data analysis, artificial intelligence, and more. However, like any other programming language, Python also has its limitations. In this blog post, we will explore some of the famous limitations of Python programming language. 1. Speed One of the main limitations of Python is its relatively slower execution speed compared to languages like C or Java. Python is an interpreted language, which means that it is not directly executed by the computer’s processor. Instead, it is first translated into an intermediate form called bytecode, which is then executed by the Python interpreter. This interpretation process makes Python slower than languages that are compiled directly into machine code. 2. Global Interpreter Lock (GIL) The Global Interpreter Lock (GIL) is a mechanism in Python that ensures only one thread executes Python bytecode at a time. This means that even if you have a multi-core processor, Python cannot fully utilize the available resources for parallel execution. As a result, Python may not be the best choice for applications that require high-performance parallel processing. 3. Mobile App Development Python is not the ideal choice for mobile app development. While there are frameworks like Kivy and BeeWare that allow you to develop mobile apps using Python, they are not as widely adopted as native app development frameworks like Swift for iOS or Java for Android. This limitation restricts the use of Python in certain mobile app development scenarios. 4. Memory Consumption Python is known for its simplicity and ease of use, but this comes at the cost of higher memory consumption. Python objects have additional overhead compared to languages like C or Java, which can result in increased memory usage. This limitation can be a concern when working with large datasets or resource-constrained environments. 5. Database Access Python provides various libraries and modules for interacting with databases, but it may not be the best choice for high-performance database access. Python’s database access is slower compared to languages like C or Java, especially when dealing with large datasets or complex queries. If you have performance-critical database operations, other languages may be more suitable. Despite these limitations, Python remains a popular programming language due to its simplicity, readability, and extensive library ecosystem. It is important to understand these limitations and consider them when choosing Python for specific use cases. Python’s strengths often outweigh its limitations, making it a versatile language for a wide range of applications.

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Famous Java Problems that Cannot Be Solved

Programming / teamemancipation

Java programming in Ranchi has gained immense popularity over the years. It is a versatile language that is widely used for developing various applications and software. However, like any other programming language, Java also has its limitations. In this blog post, we will discuss some famous Java problems that cannot be solved. 1. The Halting Problem The Halting Problem is a well-known problem in computer science, and it applies to Java as well. It states that it is impossible to determine whether a given program will halt or continue to run indefinitely. This problem arises due to the undecidability of the halting problem. 2. The Two Generals’ Problem The Two Generals’ Problem is another famous problem that cannot be solved in Java or any other programming language. It deals with the issue of reliable communication between two parties in the presence of a faulty communication channel. 3. The Byzantine Generals’ Problem The Byzantine Generals’ Problem is a classic problem in distributed computing. It involves a group of generals who need to coordinate their actions to attack or retreat, but some of the generals may be traitors who will send conflicting messages. While these problems cannot be solved in Java or any other programming language, they have been extensively studied by researchers and have led to the development of various algorithms and techniques to mitigate their effects. Conclusion Java programming in Ranchi is a powerful language, but it has its limitations. The Halting Problem, the Two Generals’ Problem, and the Byzantine Generals’ Problem are some famous problems that cannot be solved in Java or any other programming language. However, researchers continue to work on finding solutions or mitigating their effects.

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Important Microsoft PowerBI Interview Questions

Data Analytics, Data Science, Technology / teamemancipation

Top 50 Interview Questions and Answers on Power BI In today’s data-driven world, Power BI has become a pivotal tool for businesses and professionals seeking to harness the power of data analytics. Whether you’re preparing for a Power BI interview or simply aiming to enhance your knowledge, this comprehensive guide will equip you with the top 50 interview questions and detailed answers. Let’s embark on a journey to demystify Power BI and elevate your data analytics skills. Table of Contents 1. Introduction to Power BI What is Power BI? Power BI is a robust business analytics tool developed by Microsoft. It allows users to connect to various data sources, transform raw data into meaningful insights, and create interactive reports and dashboards. Why is Power BI in High Demand? Power BI’s popularity stems from its user-friendly interface, wide-ranging capabilities, and integration with other Microsoft products. As organizations seek to make data-driven decisions, the demand for Power BI professionals continues to soar. 2. Getting Started with Power BI How to Install Power BI Desktop? Power BI Desktop is the gateway to creating reports and dashboards. You can download it for free from the Microsoft website and install it on your computer. What Are the Key Components of Power BI? Power BI comprises three main components: Power BI Desktop (for report creation), Power BI Service (for cloud-based sharing and collaboration), and Power BI Mobile (for accessing reports on mobile devices). 3. Data Import and Transformation How to Import Data into Power BI? Power BI offers multiple options for importing data, including connecting to databases, importing from Excel, or using Power Query to fetch data from various sources. What Is Power Query, and How Does It Work? Power Query is a powerful data transformation tool within Power BI. It helps clean, reshape, and combine data from different sources before analysis. Data Cleansing and Transformation Techniques in Power BI To ensure data accuracy, you can use Power Query to remove duplicates, handle missing values, and apply transformations like splitting columns or merging data. 4. Data Modeling in Power BI Understanding Data Modeling in Power BI Data modeling involves creating relationships between tables to establish meaningful connections for analysis. A well-designed data model is crucial for accurate insights. Measures vs. Calculated Columns: When to Use Each Measures are dynamic calculations used for aggregations, while calculated columns are static columns generated using DAX expressions. Understanding when to use each is essential for effective modeling. 5. Mastering DAX (Data Analysis Expressions) What Is DAX, and Why Is It Crucial in Power BI? DAX is a formula language used for creating custom calculations and aggregations. It’s the backbone of Power BI’s analytical capabilities. DAX Functions Demystified: A Comprehensive Guide Explore the essential DAX functions, from SUMX to FILTER, and discover how to use them effectively to solve complex problems. 6. Creating Stunning Visualizations The Art of Data Visualization in Power BI Effective data visualization is about choosing the right chart types, colors, and layouts to convey insights clearly. Learn the principles of compelling visualization. Customizing Visuals for Impactful Reports Power BI allows you to customize visuals extensively. Discover how to format, add interactivity, and use custom visuals to elevate your reports. 7. Power BI Service and Collaboration Exploring Power BI Service: Features and Benefits Power BI Service extends the capabilities of Power BI Desktop by enabling cloud-based sharing, collaboration, and real-time data updates. Collaborative Data Analysis with Power BI Learn how to collaborate with team members, share reports securely, and take advantage of real-time collaboration features in Power BI Service. 8. Advanced Power BI Concepts Power BI Premium: What Sets It Apart? Power BI Premium offers enhanced performance, dedicated capacity, and advanced features. Explore when and why organizations choose this premium offering. Implementing Row-Level Security in Power BI Row-level security allows you to restrict data access for different users or roles within your organization. Implement this critical security feature effectively. 9. Problem-Solving Scenarios Real-Life Challenges in Power BI: Solutions and Strategies Discover real-world scenarios and how to tackle them in Power BI. From handling changing data sources to optimizing report performance, we’ve got you covered. Overcoming Data Source Changes in Power BI Data sources can evolve. Learn how to adapt your Power BI solutions to accommodate changes and maintain data accuracy. 10. FAQs (Frequently Asked Questions) Q1: Is Power BI free to use? Power BI offers both free and paid versions. The free version provides basic functionality, while the paid versions offer advanced features and capabilities. Q2: Can Power BI connect to various data sources? Yes, Power BI can connect to a wide range of data sources, including databases, Excel files, cloud services, and more. Q3: What skills are essential for a Power BI professional? A Power BI professional should have proficiency in data modeling, DAX, data visualization, and data transformation using Power Query. Q4: How can I practice Power BI skills? You can practice Power BI by working on real datasets, taking online courses, and participating in Power BI communities and forums. Q5: Does Emancipation Edutech offer Power BI courses? Yes, Emancipation Edutech provides comprehensive Power BI courses to help you master this powerful tool. 11. Conclusion: Empowering Your Data Journey In conclusion, Power BI is a game-changer for those seeking to harness the power of data analytics. It empowers organizations to make informed decisions, gain valuable insights, and drive business growth. With the knowledge gained from this extensive guide, you are well-equipped to excel in Power BI interviews and contribute to data-driven success. As you embark on your journey to learn Power BI, remember that continuous learning and practice are key to mastering this versatile tool. Explore real-world scenarios, experiment with different datasets, and stay updated with the latest Power BI developments. Emancipation Edutech Private Limited [emancipation.co.in] offers comprehensive Power BI courses to further enhance your skills and propel your career in the world of data analytics. In the rapidly evolving landscape of data analytics and business intelligence, proficiency in Power BI is a valuable asset.

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Choosing the Right Programming Language for the Future

Technology / teamemancipation

Introduction With the rapid advancement in technology, it is crucial to choose the right programming language for a successful career in the future. In this blog post, we will compare and contrast some of the most popular programming languages and discuss their industry relevance. Industry Relevancy Python: Python is widely used in various industries such as web development, data analysis, artificial intelligence, and machine learning. Its simplicity and readability make it a popular choice among developers. Java: Java is a highly versatile language used for developing enterprise-level applications, Android apps, and server-side applications. It has been in demand for a long time and is expected to remain relevant in the future. JavaScript: JavaScript is the backbone of web development. It is used for creating dynamic and interactive web pages. With the rise of frameworks like React and Angular, the demand for JavaScript developers is increasing. Hello World Program Python: print(‘Hello, World!’) Java: public class HelloWorld { public static void main(String[] args) { System.out.println(‘Hello, World!’); }} JavaScript: console.log(‘Hello, World!’); Best Projects Python: Python is ideal for projects involving data analysis, machine learning, and artificial intelligence. You can build recommendation systems, image recognition algorithms, and chatbots using Python. Java: Java is well-suited for developing enterprise-level applications, Android apps, and server-side programs. Some examples include building banking systems, e-commerce platforms, and customer relationship management systems. JavaScript: JavaScript is commonly used for web development projects. You can create interactive websites, single-page applications, and web-based games using JavaScript. Guaranteed Jobs Python: The demand for Python developers is constantly increasing, especially in the fields of data science and machine learning. Java: Java developers are highly sought after in the industry due to the wide range of applications it can be used for. JavaScript: With the rise of web development, JavaScript developers are in high demand. Companies are always looking for skilled JavaScript developers to create engaging user experiences on their websites. Best Choice for Non IT Graduates If you are a non-IT graduate looking to enter the programming world, Python is a great choice. Its simplicity and readability make it easier for beginners to learn and understand. Additionally, Python’s versatility allows you to work on various projects, including data analysis, web development, and artificial intelligence, providing more opportunities for non-IT graduates.

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