@ dataschoool

Here is recent job opening for software engineers👇🏻


📌1. Company: Codgdle Technologies Pvt Ltd
👩‍💻 Job role: Software Test Engineer (Lead)
👉 Job type: Full-time
💸 Salary: 3L-10L a year


https://in.indeed.com/m/viewjob?jk=ec5b81e62736a807

📌Here is a list of some programming languages and their common uses:

📌Python: Known for its simplicity, Python is used for web development, data analysis, machine learning, scripting, and automation.

📌JavaScript: Primarily used for front-end web development to create interactive user interfaces in browsers.

📌Java: Used for building desktop applications, web applications (both front-end and back-end), Android app development, and enterprise-level software.

📌C++: Suitable for system software, game development, high-performance applications, and embedded systems.

📌C#: Commonly used for Windows application development, game development with Unity, and enterprise software.

📌Ruby: Known for its elegance, Ruby is used in web development with the Ruby on Rails framework and for scripting tasks.

📌Swift: Developed by Apple, Swift is used for iOS, macOS, watchOS, and tvOS app development.

📌Kotlin: Another language for Android app development, known for its concise syntax and interoperability with Java.

📌PHP: Mainly used for server-side web development to create dynamic web pages.

📌Rust: Known for its memory safety features, Rust is used for systems programming, especially when performance and security are critical.

*➡️Companies hiring interns for coding*


📌1.Company: HeyCoach
👩‍💻Job role: Competitive Programming Content Intern
👉Job type: intern
💸 Salary: 3T-5T a year

https://www.google.com/search?ibp=htl;jobs&q=internship+for+coders&htidocid=TBMvDCKLR8MAAAAAAAAAAA%3D%3D


📌2.Company: Coding Arena
👩‍💻Job role: Web Development
👉Job type: Intern

https://www.google.com/search?ibp=htl;jobs&q=internship+for+coders&htidocid=TBMvDCKLR8MAAAAAAAAAAA%3D%3D


Grab this opportunity soon‼️🚫

📌3 beginner friendly projects to start your coding journey:

➡️1. Language Learning Chatbot:

Develop a chatbot that helps users learn a new language. It can provide vocabulary lessons, quizzes, and even engage in conversations to practice language skills. You'll delve into natural language processing and possibly use APIs for translation and speech recognition.

➡️2. AI-powered Art Generator:

Build a program that uses machine learning to generate art. You could train a neural network to create paintings, music, or even poetry. This project will introduce you to deep learning concepts and creative coding.

➡️3. Home Automation System:

Create a system that allows you to control various home devices remotely. You can use a Raspberry Pi or Arduino to control lights, thermostats, or even a pet feeder through a web or mobile app. This project involves hardware integration, networking, and possibly IoT (Internet of Things) technologies.

These projects will not only help you improve your coding skills but also give you a chance to explore more advanced concepts and technologies.

📌20+ C++ project Ideas 🧨


➡️The C++ projects fed below are modest games and applications.

➡️They are suitable for beginners looking for reference projects to help them construct their own C++ mini-projects.


📌Banking Record System
📌Bookshop Management System
📌Bus Reservation System
📌Hotel Management System
📌Payroll Management System
📌Phonebook Management System
📌Railwav Reservation Svstem
📌Sales Management System
📌Student Database Management System
📌Student Report Card System
📌Supermarket Billing System
📌Telephone Directory System


➡️Advanced Projects in C++:

📌Bike Race Game (using SDL) in C++
📌Database Management System (using wxWidgets) in C++
📌Fortune Teller (Predict Future) in C++
📌Helicopter Game (using SDL) in C++
📌Search Engine in C++
📌Tank Game in C++
📌Traffic Control Management System in C++
📌University Management System in C++
📌Canteen Management System in C++
📌Music Store Management System in C++
📌Travel Agency Management System in C++

𝗥𝗼𝗮𝗱𝗺𝗮𝗽 𝗳𝗼𝗿 𝗿𝗲𝗰𝗲𝗻𝘁 𝗴𝗿𝗮𝗱𝘂𝗮𝘁𝗲𝘀 𝘁𝗼 𝗹𝗮𝗻𝗱 𝘁𝗵𝗶𝗲𝗿 𝗳𝗶𝗿𝘀𝘁 𝗷𝗼𝗯 𝗶𝗻 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀

Do you want to launch a career in Data Analytics right after college? Register for FREE Online webinar by experts

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Here’s how you can land your first job in Tech as a Python Developer

➡️Build a Strong Foundation:
Master Python basics: variables, data types, control structures.

➡️Develop Projects:
Create practical Python projects (e.g., web apps, data analysis, automation scripts).

➡️Version Control:
Learn Git for code versioning and use platforms like GitHub for collaboration.

➡️Networking:
Attend tech events, conferences, and workshops.
Build an online presence on platforms like LinkedIn.

➡️Resume Optimization:
Highlight Python skills, relevant projects, problem-solving, teamwork.

➡️Apply Widely:
Apply to various entry-level positions in tech.

➡️Prepare for Interviews:
Practice coding challenges on platforms like LeetCode or HackerRank.

➡️Soft Skills:
Develop communication, teamwork, and adaptability skills.

➡️Personal Projects:
Work on personal Python projects to gain experience.

➡️Internships:
Consider internships or freelance roles to enhance your resume.

➡️Open Source Contributions:
Contribute to open source projects to showcase your skills.

➡️Continuous Learning:
Stay updated with Python libraries, frameworks, and industry trends.

➡️Interview Etiquette:
Dress appropriately, be punctual, and show enthusiasm during interviews.

➡️Show Problem Solving:
Explain your approach to problem-solving in interviews.

➡️Stay Persistent:
Don’t lose motivation during the competitive tech job search. Keep improving and learning from each experience.

Each step contributes to your growth as a Python developer and increases your chances of landing your first tech job.

#Follow @thedataschoool @techschoool for such valuable content
➡️Like➡️Share➡️Comment

#python #pythondeveloper #pythonprogramming #techjobs #coding

📌 Company: Google
🧑‍💻 Job title: Job Openings at Google!!! Position: Software Engineer, Silicon Validation Software Platform Location: Bangalore, India Job description: Full-time Link: https://www.google.com/about/careers/applications/jobs/results/132498169557590726-software-
💸 Salary: 8,00,000- 12,00,000 a year

📌 Company: Google
🧑‍💻 Job title: Software Engineering Manager, Corporate Engineering
       Job description: Full - time'
💸 Salary: 4,00,000 - 6,00,000 a year

https://www.google.com/about/careers/applications/jobs/results/103011595572912838-software-engineering-manager-corporate-engineering

📌 Company: Google
🧑‍💻 Job title: Program Manager, Supply Chain Analytics
      Job description: Full time
      Salary: 4,50,000-14,50,000 a year

https://www.google.com/about/careers/applications/jobs/results/90068896712663750-program-manager-supply-chain-analytics

📌 Company: Google
🧑‍💻 Job title: Network Test Engineer, Edge Network
      Job description: Full time
💸 Salary: 6,50,000-20,80,000 a year

https://www.google.com/about/careers/applications/jobs/results/89438806437962438-network-test-engineer-edge-network

📌 Company: Google
🧑‍💻 Job title: Product Manager, Google App Engine
      Job description: Full time
💸 Salary: 4,80,000 a year

https://www.google.com/about/careers/applications/jobs/results/141827731475047110-product-manager-google-app-engine

📌Tips and Tricks on how to optimize your code [techniques]:

Code optimization is all about making your code run faster and use fewer resources without changing its functionality.

1. Choose the Right Data Structures:
- Use data structures that are efficient for your specific tasks. For example, use sets for membership checks and dictionaries for fast key-value lookups.

2. Reduce Redundant Operations:
- Avoid repeating the same calculations or operations unnecessarily. Store the results of expensive operations and reuse them when needed.

3. Use Loops Wisely:
- Minimize the number of loops and iterations. Nested loops can quickly become inefficient. If possible, replace loops with built-in functions like map, filter, and list comprehensions.

4. Optimize Algorithm Complexity:
- Choose algorithms with lower time complexity for your problem. For example, if a linear search isn't efficient, consider using binary search for sorted data.

5. Avoid Global Variables:
- Minimize the use of global variables as they can lead to unexpected side effects and make your code harder to optimize.

6.Batch Database Queries:
- When working with databases, batch multiple queries into one instead of making individual queries. This reduces overhead.

7. Profiling Tools:
- Use profiling tools to identify bottlenecks in your code. These tools show you which parts of your code consume the most time and resources.

8. Memory Management:
- Be mindful of memory usage. Avoid unnecessary object creation and deallocate memory when it's no longer needed. Use generators instead of lists when processing large datasets.

9. Caching:
- Cache the results of expensive function calls if the output is constant for a given input. This can save time by preventing redundant calculations.

10. Lazy Evaluation:
- Use lazy evaluation where appropriate. In languages that support it, lazy evaluation allows you to defer calculations until the result is actually needed.

11. Vectorization:
- When working with numerical data, use vectorized operations provided by libraries like NumPy. These operations are highly optimized and can perform calculations on entire arrays at once.

12. Avoid Unnecessary I/O:
- Input/Output operations, like reading from/writing to files or databases, can be slow. Minimize these operations and consider using in-memory data structures.

13. Benchmarking:
- Compare the performance of different code versions or approaches using benchmarking tools. This helps you make informed optimization decisions.

14. Keep Code Readable:
- While optimizing, make sure your code remains readable and maintainable. Clear code is easier to understand and debug.

15. Profile and Test Again:
- After making optimizations, profile your code again to ensure your changes had the desired impact. Sometimes, optimizations can have unintended consequences.

Tips for freshers

Things to do before applying for jobs

𝐓𝐨𝐩 𝟐 𝐑𝐨𝐥𝐞𝐬 𝐓𝐨 𝐒𝐭𝐚𝐫𝐭 𝐘𝐨𝐮𝐫 𝐂𝐚𝐫𝐞𝐞𝐫 𝐀𝐬 𝐚 𝐅𝐫𝐞𝐬𝐡𝐞𝐫  

- Data Analyst 

- Software Developer  

Get FREE Guidance From Industry Experts 

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https://bit.ly/3r3nwTe

( Only a few slots left ) 

Date & Time:- Wed, 06 Sep 2023, 4 PM IST

𝐈𝐦𝐩 𝐍𝐨𝐭𝐞:-  Only Candidates From  Hyderabad/Telangana, Chennai/Tamilnadu, Bangalore/Karnataka, Pune/Maharashtra are eligible

📌Pros and Cons of different programming languages

Python:
Pros:
Easy to learn, versatile, large community, many libraries and tools.
Cons:
Slow performance, not as efficient as compiled languages.

JAVA:
Pros:
Portable, secure, large community, many libraries and tools.
Cons:
Can be verbose, not as fast as compiled languages.

C++:
Pros:
High performance, flexible, powerful, large community.
Cons:
Complex, difficult to learn, not as portable as interpreted languages.

C#:
Pros:
Portable, concise, large community, many libraries and tools.
Cons:
Not as fast as C++, not as flexible as Python.

JAVA Script:
Pros:
Easy to learn, versatile, large community, many libraries and tools.
Cons:
Can be slow, not as powerful as compiled languages.

📌 Company: Twin City fan companies Ltd
🧑‍💻 Job title: sr. Software developer
     Job description: Full-time
💸 Salary: ₹7 lakh a year
http://surl.li/kulhu

📌 Company: Airbook
🧑‍💻 Job title: software Engineer
       Job description: Full - time
💸 Salary: 5 Lakh per annum
https://www.linkedin.com/jobs/view/3697101852

📌Become a pro in programming

https://www.instagram.com/p/Cw4Wzk4LAKh/?igshid=MzRlODBiNWFlZA==

These Universities provide free online courses that can benefit those pursuing engineering careers.

1. Stanford University:
Stanford Online offers complimentary engineering courses such as 'Machine Learning' and 'Introduction to Artificial Intelligence.'
Link: https://online.stanford.edu/courses

2. Massachusetts Institute of Technology (MIT):
MIT OpenCourseWare offers a wide array of no-cost engineering and related courses, including 'Introduction to Computer Science and Programming' and 'Introduction to Electrical Engineering and Computer Science.' Link: https://ocw.mit.edu/index.htm
3. University of California, Berkeley:
UC Berkeley provides free courses on the edX platform, including 'CS50's Introduction to Artificial Intelligence with Python.' Link: https://www.edx.org/school/uc-berkeley

4. Harvard University:
Harvard Online Learning offers free computer science and data science courses, with the most popular being 'CS50's Introduction to Computer Science.
Link: https://online-learning.harvard.edu/

5. Carnegie Mellon University:
Carnegie Mellon's Open Learning Initiative offers no-cost online courses covering subjects such as computer science and programming. Link: https://oli.cmu.edu/

📌Debugging tips:

1. Check for Syntax Errors: Start by reviewing your code for any obvious syntax errors, like missing parentheses, semicolons, or typos.

2. Use Print Statements: Insert print statements or log messages at key points in your code to track the flow and values of variables. This can help pinpoint where the issue occurs.

3. Isolate the Problem: Try to isolate the problem by breaking your code into smaller parts or running specific sections separately to identify the source of the issue.

4. Examine Error Messages: Pay close attention to error messages. They often provide valuable information about what went wrong and where the issue is located.

5. Check Variable Values: Inspect the values of variables by printing or logging them. Ensure they have the expected values at different stages of your code.

6. Code Version Control: Use version control systems like Git to track changes to your code. This allows you to revert to a working version if needed.

7. Rubber Duck Debugging: Explain your code and problem to someone else, even if it's a rubber duck or a stuffed animal. Sometimes, verbalizing the issue can help you spot it.

8. Debugging Tools: Familiarize yourself with debugging tools provided by your programming environment or IDE. These tools can set breakpoints, step through code, and inspect variables in real-time.

9. Documentation and Comments: Review the documentation and comments in your code. Ensure that your understanding of how functions and methods work matches what's documented.

10. Online Resources and Forums: Search online for similar issues or error messages. Websites like Stack Overflow often have solutions to common programming problems.

11. Code Review: Ask a colleague or a peer to review your code. Fresh eyes can spot mistakes you might have missed.

12. Check Dependencies: Ensure that external libraries and dependencies are correctly installed and up to date.

13.Take Breaks: If you're stuck, take short breaks. Sometimes, stepping away from a problem can help you come back with a fresh perspective.

14. Unit Testing: Implement unit tests for your code. This can help you catch issues early and ensure that changes don't introduce new problems.

15. Read the Documentation: Make sure you thoroughly understand the documentation for libraries and frameworks you're using. Misunderstanding how something should work can lead to bugs.

16. Keep a Log: Keep a record of your debugging efforts. Note what you've tried, what worked, and what didn't. This can help you avoid repeating the same steps.

📌Here are some top courses offered by Google that will elevate your tech skills

✅1)Google Professional Workspace Administrator (Coursera)**
Specs: Duration: Approx. 2 months to complete (5 hours/week) | Certificate: Yes | Level: Beginner
Apply Link: https://www.coursera.org/professional-certificates/g-suite-administration?irclickid=xCgxLF0ZSxyPRuG2-Cw5E1hWUkFUwWx%3AEzt%3AWU0&irgwc=1&utm_medium=partners&utm_source=impact&utm_campaign=1359419&utm_content=b2c

Google Professional Workspace Administrator course helps you to learn about Google’s best practices to protect your users and data. After learning this course, you will able to use the tools provided to identify security events and risks.

This course teaches you how to configure, compliance and implement measures to protect your organization from spam, spoofing, and malware attacks. You will also be able to become familiar with the various mail routing options available. At the end of this Google course, you will also earn Google’s best practices for deploying G Suite into your organization.

✅2) Google IT Support Professional Certificate (Coursera)
Specs: Rating: 4.8 | Certificate: Yes | Level: Beginner
Apply Link: https://www.coursera.org/professional-certificates/google-it-automation?irclickid=xCgxLF0ZSxyPRuG2-Cw5E1hWUkFUwWwmEzt%3AWU0&irgwc=1&utm_medium=partners&utm_source=impact&utm_campaign=1359419&utm_content=b2c
Google IT Support Professional Certificate is a free program from Google that will offer tools to land an entry-level role in 6 moth time.

It includes 5 different courses on core skills you should know to obtain your Certification. This course bundle helps you learn IT support fundamentals, computer networking, operating system, IT infrastructure services, etc.

✅3. Google IT Automation with Python Professional Certificate (Coursera)
Specs: Rating: 4.8 | Duration: Approx. 6 months to complete (10 hours/week) | Fee: Free | Certificate: Yes | Level: Beginner
Apply Link: https://www.coursera.org/professional-certificates/google-it-automation?irclickid=xCgxLF0ZSxyPRuG2-Cw5E1hWUkFUwWwmEzt%3AWU0&irgwc=1&utm_medium=partners&utm_source=impact&utm_campaign=1359419&utm_content=b2c
Google IT Automation with Python Professional Certificate is a bundle of six-course certificates developed by Google to provide IT professionals with in-demand IT skills, like Python, Git, and IT automation.

This course program builds, which helps you to take your career to the next level. This learning material designed in such a way that teaches you how you can program with Python and how you can use Python to automate frequently use system administration tasks.
✅4. Preparing for Google Cloud Certification (Coursera)
Specs: Rating: 4.6 | Duration: Approx. 5 months to complete (3 hours/week) | Certificate: Yes | Level: Intermediate
Apply Link: https://www.coursera.org/professional-certificates/gcp-data-engineering?irclickid=xCgxLF0ZSxyPRuG2-Cw5E1hWUkFUwW3HEzt%3AWU0&irgwc=1&utm_medium=partners&utm_source=impact&utm_campaign=1359419&utm_content=b2c
Preparing for Google Cloud Certification is a hands-on course. It helps you to apply the skills you learn in the video lessons. Projects will cover topics such as Google BigQuery, which are used and configured within Qwiklabs.

You will also get practical hands-on experience with the concepts explained throughout the modules. After the end of this course, you will get a course completion certificate, which you can share with your professional network.

✅5. Android Basics by Google
Specs: Duration: 3 Months (At 10 hrs/week) | Certificate: No | Level: Beginner
Apply Link: https://www.udacity.com/course/android-kotlin-developer-nanodegree--nd940?irclickid=zeswydw8fxyPRQiynCwVEUViUkFUwWWGEzt%3AWU0&irgwc=1&utm_source=affiliate&utm_medium=&aff=1359419&utm_term=&utm_campaign=_best-google-course_&utm_content=&adid=786224
Android basic by Google is a course material built for aspiring Android developers who are new to programming. This course provides sound knowledge about this subject and ensure that they get the needed skills to grow their career to become a professional Android Developer.

✅6. Firebase in a Weekend (Udacity)
Specs: Duration: 3 Months (At 10 hrs/week) | Certificate: No | Level: Intermediate
Apply Link: https://www.udacity.com/course/firebase-in-a-weekend-by-google-android--ud0352?irclickid=zeswydw8fxyPRQiynCwVEUViUkFUwWQmEzt%3AWU0&irgwc=1&utm_source=affiliate&utm_medium=&aff=1359419&utm_term=&utm_campaign=_best-google-course_&utm_content=&adid=786224

Firebase in a Weekend is a course, which helps you to learn how to use the Firebase app development platform. After learning this course you will know how you can allow users to login, have data associated with them, and send them notifications.

✅7. Fundamentals of digital marketing (Google)
Specs: Rating: 4.6 | Duration: 40 hours to complete | Fee: Free | Certificate: No | Level: Beginner
Apply Link: https://skillshop.exceedlms.com/student/collection/654330-digital-marketing?locale=en-GB
Fundamental of digital marketing is the best course to learn various SEO related techniques. It is one of the best Google career certificates which is accredited by Interactive Advertising Bureau Europe.

The course contains 26 modules, helps you to explore in depth study material created by Google trainers. This study material offers plenty of practical exercises and real-world examples that help you to excel in your digital marketing knowledge.

Elevate Your Resume with Prestigious Data Analytics and Tech Internships at Top Companies! Discover Paid Internships:

1. Cisco Internship (Expected 20-30K monthly)
Explore data science analyst roles.
Link: https://jobs.cisco.com/jobs/ProjectDetail/Data-Science-Analyst-Intern-India-UHR/1405073
2. Mahindra and Mahindra Data Analyst (30K per month)
Join as a data analyst.
Link: https://www.pluginlive.com/Job/411aa834-fd7a-4077-96a6-9c8589c9e8e4/16907e1c-6fb3-4342-bc43-99b346675fae
3. Shenzu AI- Data Analyst (up to $20,000 per month)
Exciting data analyst opportunity.
Link: https://cuvette.tech/app/public/internship/64e2e222ca394f3f75c23c1f?referralCode=63ORYQ
Explore Unpaid Internships (With Certification):

1. Ineuron.ai Internship
Engage in real-life projects with peers.
New projects regularly.
Link: https://internship.ineuron.ai/dashboard

2. Niti Aayog Internship
Offers various internships, including data analysis and science & tech roles.
Applications are open from the 1st to the 10th of every month.
Link: https://workforindia.niti.gov.in/intern/InternshipEntry/homepage.aspx
3. IBM Internship for College Students
Gain valuable experience with IBM.
Link: https://internship.aicte-india.org/internship-details.php?uid=SU5URVJOU0hJUF8xNjkwNTI3NjU4NjRjMzY3YWE2NTliMw==&level=NA==
4. AI/ML Internship
Dive into AI/ML projects.
Link: https://internship.aicte-india.org/internship-details.php?uid=SU5URVJOU0hJUF8xNjkyNzg4MjEyNjRlNWU1ZjQ5OWNlZg==
5. Explore Virtual Internships:
Forage offers virtual internships with top companies like KPMG, BCG, PWC, and many more.
Opportunities in data analytics, data science, tech, and personal development.
Each internship takes 4-6 hours and provides certifications.
Link: https://www.theforage.com/
Please verify the details and application procedures on the respective websites for the most up-to-date information.