উনবিংশ শতাব্দী সময়ের আজব সব চিকিৎসা ব্যাবস্থা ও অপারেশন পদ্ধতি
নওয়াব ফয়জুন্নেসা চৌধুরানী ছিলেন দক্ষিণ এশিয়ার প্রথম ও একমাত্র মহিলা নওয়াব ও নারীশিক্ষার পথিকৃৎ। তিনি অনেকটা নিজের অদম্য ইচ্ছার কারণে শিক্ষিত হন। শিক্ষা, সমাজকল্যাণ ও সেবাব্রতে তিনি যে উদাহরণ সৃষ্টি করেছেন তা ইতিহাসে বিরল ।
নওয়াব ফয়জুন্নেসা (১৮৩৪-১৯০৩) জমিদার, নারীশিক্ষার প্রবর্তক, সমাজসেবক ও কবি। নওয়াব ফয়জুন্নেসার জন্ম কুমিল্লা জেলার হোমনাবাদ পরগনার (বর্তমানে লাকসামের) অন্তর্গত পশ্চিমগাঁয়ে । তিনি ১৮৩৪ সালে জন্মগ্রহণ করেন । তার বাবা জমিদার আহমেদ আলী চৌধুরী আর মা আরাফান্নেসা চৌধুরাণী। তাঁর পিতা আহমদ আলী চৌধুরী ছিলেন হোমনাবাদ-পশ্চিমগাঁও-এর জমিদার।
পারিবারিক পরিবেশে গৃহশিক্ষকের তত্ত্বাবধানে বাড়িতেই তিনি শিক্ষালাভ করেন। মুসলমানদের কঠিন পর্দাপ্রথার মধ্যে থেকেও ফয়জুন্নেসা আরবি, ফারসি ও উর্দুর পাশাপাশি বাংলা ও সংস্কৃত ভাষায়ও ব্যুৎপত্তি অর্জন করেন।
ফয়জুন্নেসা বাবার প্রথম কন্যাসন্তান। জমিদার বংশের সন্তান হিসেবে বেশ আরাম-আয়েশের মধ্য দিয়ে তিনি বেড়ে ওঠেন। মোগল রাজত্বের উত্তরসূরী এই মহীয়সী নারীর ছিল দুই ভাই (এয়াকুব আলী চৌধুরী এবং ইউসুফ আলী চৌধুরী) আর দু’বোন (লতিফুন্নেসা চৌধুরাণী এবং আমিরুন্নেসা চৌধুরাণী)।
ছোটবেলা থেকে লেখাপড়ায় তার প্রচুর আগ্রহ দেখে ফয়জুন্নেসার বাবা মেয়ের জন্য গৃহশিক্ষক নিযুক্ত করেন। তিনি কঠোর নিয়মানুবর্তিতা পালন করে তার জ্ঞানস্পৃহাকে আরো উজ্জ্বল থেকে উজ্জ্বলতর করে তোলেন। গৃহশিক্ষকের সাহায্যে ফয়জুন্নেসা খুব দ্রুতই কয়েকটি ভাষার উপর গভীর জ্ঞান অর্জন করতে সক্ষম হন। বাংলা, আরবি, ফার্সি ও সংস্কৃত এ চারটি ভাষায় ব্যুৎপত্তি লাভ সহ ফয়জুন্নেসার এ প্রতিভা স্ফুরণে তার শিক্ষক তাজউদ্দিনের অবদান অতুলনীয়।
রবীন্দ্রযুগে যে কয়জন বাংলা সাহিত্য সাধনা করে যশ ও খ্যাতি অর্জন করেন, নওয়াব ফয়জুন্নেসা তাদের মধ্যে অন্যতম। আধুনিক বাংলা সাহিত্যের ইতিহাসে প্রথম মুসলিম সাহিত্যিক হিসেবে নবাব ফয়জুন্নেসার নাম চিরস্মরণীয়। কলকাতার ঠাকুরবাড়ির ‘সখী সমিতি’র সদস্যা ছিলেন তিনি।
তার সাহিত্য সাধনার খুব অল্প সময়ে তিনি বঙ্কিমচন্দ্রের সমসাময়িক লেখক। শুধু তাই নয় প্রথম মুসলিম গদ্য-পদ্যে লেখিকা ছিলেন। ১৮৭৬ খ্রীস্টাব্দে ১০ ফেব্রুয়ারি ঢাকা গিরিশচন্দ্র মুদ্রণ যন্ত্র থেকে শ্রীমতি নওয়াব ফয়জুন্নেসা চৌধুরাণী রচিত সাহিত্য গ্রন্থ ‘রূপজালাল’ প্রকাশিত হয়।
ব্রিটিশ অপশাসনের ফলে মুসলিম সমাজে কুসংস্কারের বেড়াজালে অবরোধবাসিনী হয়েও ফয়জুন্নেসা সাহিত্য সাধনার মাধ্যমে একটি গৌরবময় স্থান অধিকার করে আছেন। রূপজালাল ব্যতীত ফয়জুন্নেসা কর্তৃক দু’খানি গ্রন্থের নাম পাওয়া যায়-সঙ্গীত লহরী ও সঙ্গীত সার প্রকাশিত হলেও তা এখন দুষ্প্রাপ্য। একথা বললে অত্যুক্তি হবে না সাহিত্য সাধনায় ফয়জুন্নেসার পথ ধরে বেগম রোকেয়ার আবির্ভাব হয়েছে। বাংলার নারীদের সাহিত্যে অবদানে নওয়াব ফয়জুন্নেসা সর্বাগ্রে।
১৯০৩ সালের ২৩ সেপ্টেম্বর এ মহীয়সীর জীবনাবসান ঘটে। তাকে তার প্রতিষ্ঠিত দশগুম্বুজ মসজিদের পাশে পারিবারিক কবরস্থানে দাফন করা হয়।
আমাদের ফেসবুক পেজ এ লাইক দিয়ে সাথে থাকুন এবং ইউটিউব এ আমাদের ভিডিও গুলো দেখতে এখানে ক্লিক করুন
আরও পড়ুনঃ
নারী ও পুরুষের যৌন চেতনায় বিরাট একটা পার্থক্য আছে তাঁদের এসেক্সুয়ালিটি নিয়ে।
এসেক্সুয়ালিটি হলো একটি সেক্সুয়াল অরিয়েন্টেশন যা ১% এর কাছাকাছি নরনারী LGBTQ-এর মতই জন্মগত ভাবে পেয়ে থাকে।
এদের বৈশিষ্ট হলো, এঁরা কোনো জেন্ডারের প্রতিই সেক্সুয়ালি এট্রাকটেড ফীল করে না।
এঁরা ইম্পটেন্ট নয়, শারীরিক ভাবে যৌন মিলনে খুবই সক্ষম, এঁরা ব্রহ্মচারীও নন আবার, একই বা বিপরীত লিঙ্গিয় বন্ধু বান্ধবীও এদের থাকে। কিন্তু এঁরা তাঁদের কারো সাথে যৌনতা ইনক্লুসিভ কোনো রোমান্টিক সম্পর্কে জড়ান না বা জড়াতে পারেনই না।
বলার কারন, সম্প্রতি জানলাম, একজন পুরুষ জন্মসুত্রে এসেক্সুয়াল না হলে তাঁদের জন্য আর কখনোই এসেক্সুয়াল হওয়া সম্ভব না। অথচ জন্মসুত্রে এসেক্সুয়াল নন, এমন একজন নারীর জন্য জীবনের একটি পর্যায়ে সেক্সুয়ালি একটিভ জীবন যাপন করার পরেও অন্য একটি পর্যায়ে এসেক্সুয়াল হয়ে যাওয়া মোটেও অসম্ভব না।
According to a Forbes survey, about 13 job sectors will be fully automated by 2030, and the World Economic Forum estimates that about 75 million jobs will be displaced due to automation, but interestingly, a total of 133 million new jobs will be generated.
However, it is possible to automate some low and middle-skill jobs due to automation, but it is never possible to do data science jobs. If you want to understand why automation can’t waste data science jobs, you need to understand what data science is and how the data science ecosystem works.
Then at the beginning, you should take a little idea about data science. In simple terms, data science is a hybrid subject, and data science focuses on statistics, applied mathematics, and computer science.
We call any job lucrative when its market value, job salary, and future demand are all very good. Now you have to understand how the job market in data science?
Most of the most lucrative jobs of the present age are indeed based on data science. According to Glassdoor, a data scientist in the United States earns about $ 95k – $ 200k a year. Job positions based on Data Science are created respectively – Machine Learning Engineer, Database Administrator, Data Architect, Data Engineer, Business Analyst, Data Analyst, Data Scientist, etc.
So what is the demand in Bangladesh? Yes, it is true that the demand for data science relevant jobs is also high in Bangladesh. However, with the development of technology in Bangladesh, the demand for it is increasing and the demand will increase in the future. Many private companies in Bangladesh are hiring new data science-relevant jobs to increase their business growth rate.
You may be wondering what is the relationship between increasing the business growth rate and data science? Yes, of course. Let me clarify the matter with a small example. Suppose you search for ‘python tutorial’ on YouTube. After searching for it, YouTube may bring up many tutorial suggestions on your homepage and you may cut it after watching a video for a while.
Next time you go to YouTube, you will hopefully bring at least 1-3 Python programming videos to the homepage along with all the other videos. But what is the reason? When you search, YouTube understands that you are interested in Python. So later suggested this kind of video in front of you. Now I think the question is how these things are normal?
To discuss this in detail, we need to talk about machine learning, NLP, and data mining. ML, NLP, DM can all be called subsets of data science. I will talk about each topic in another article in a specific way InshaAllah.
I want to learn data science. But how do I get started? This question seems to be a common question of every human being. I will share some tips from my experience which I hope will be very useful for newcomers. First, you can learn by doing a master’s course in data science. If that is not possible then there are many resources available online.
Suppose you want to learn data science right now. But first, you have to learn the basics of Python or R Programming Language well. About 80{65d74b771b6ceff07eaefc19ffed56e0ab6ea89ffc0f0b38516c35f1ac414386} of people here are confused about which one to start with. The answer is whatever you like. In my opinion, the best decision is to start with Python programming. Python’s resources are available for free on YouTube.
On the Study Mart channel, you can learn basic Python programming in Bengali very well or many more English resources, including FreeCodeCamp, Krish Naik, Corey Schafer, Telusko, Edureka, Coursera.
Now let’s talk about Python, not R programming. In fact, Python’s syntax is much easier to remember, and you get a lot more Python resources from it. You have no alternative to Python when it comes to image, NLP-related work. You can easily do this through a deep learning framework based on Python, such as Tensorflow or Pytorch. Python has a machine learning library like Sklearn. Matrix libraries like Numpy, data frame libraries like Pandas are awesome in a word.
But R is not inferior in any way. And with it, almost everything can be done. However, R has a library of 2400+ statistics and 3000+ built-in functions. Which is very easy to do statistical analysis (if the target is data analysis: https://youtu.be/iQEV5VM-vYI). If you want to be a good data scientist, Python needs to be proficient in two languages. In addition to acquiring data analysis skills, you need to learn MS Excel, SQL Database, SPSS, Weka, Tableau, Power BI slowly. Tableau or PowerBi should be learned very well at least.
When your Basic Python is over, all you have to do is get a rough idea about NumPy, Pandas, Seaborn, and Matplotlib. This is because about 80{65d74b771b6ceff07eaefc19ffed56e0ab6ea89ffc0f0b38516c35f1ac414386} of the time in each data science project is spent on data preprocessing and statistical analysis.
So you need to know at least Pandas and Seaborn well. Then your job is to make an algorithm selection for you to develop your model. Since you will start with Python, you will find all the necessary algorithms in Psychic Learn. The best resource for you to learn everything can be studied mart’s Python PlayList. Everything is shown step by step in the Bengali language. Coursera, MIT OpenCourseWare, Krish Naik, Edureka, etc. as resources in English. Can follow.
After finishing machine learning you will start deep learning and N, L, P. Here too you can follow the above resources. And it is better to say that if you want to be a skilled data scientist, there is no alternative to Kaggle.
Because here you will get a lot of info from the notebook. You will also get a free dataset to practice at Kaggle and you can win thousands of dollars as a prize by participating in the competition if you want. I will tell the rest in another article. Join Study Martin our data science community Learn Data Science Smartly.
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Lessons about life before turning first big milestone you should learning
Life is full of lessons. Some lessons are learned in an instant–like when you touch a hot stove. Others take time to fully understand–for example, what it truly means to be in love. But regardless of the size of the lesson, there are 30 important ones everyone should know before exiting young adulthood and entering the next phase of their life.
1. Your habits can make or break you. Every action is a brick, meaning it’s what you do on a daily basis that determines the house you end up with. You are the house you build.
2. You are what you read. If your body is a reflection of what you eat, then your mind is a reflection of what you read and study. Fill it with good stuff–not candy, like social media.
3. You cannot compare your path with anyone else’s. We each have our own struggles, and we each have our own triumphs. Your path is your path for a reason. Pay attention to the lessons meant for you and you only.
4. Your inner circle is your “dream team.” If you surround yourself with negative people, your dream will die. If you surround yourself with positive and driven people, your dream will thrive. It’s on you to build your “dream team” accordingly.
5. Your life is a reflection of how well you know yourself. It always comes back to self-awareness. The more willing you are to address your fears, shortcomings, and points of conflict, the more self-awareness you will have and the happier you will be.
1. How you invest your time is a reflection of how you invest your money. The smart and wealthy know the value of their time. They see each minute, hour, day, week, month, and so on as an opportunity to invest wisely in themselves. You must do the same.
2. To be productive, you have to remove distractions. Productivity is not about multitasking. It’s actually the opposite. It’s about trying to do less so that you can ultimately do more.
3. If you aren’t getting done what needs to get done, there is a fear. We avoid the things we don’t want to do–or worse, wonder if we can do at all. This is why startup plans and book ideas get pushed to the back burner so often. To get the work done, you have to confront what’s holding you back.
4. Efficiency is a process. It doesn’t happen the first or second time you do something. This means in order to be productive in the fullest sense, you have to commit to the process of always looking for ways to improve over the long term.
5. Failure to prepare means preparing to fail. You can’t expect yourself to move through things quickly and effectively if you haven’t set yourself up for success. What you do today impacts where you start tomorrow.
1. The most important relationship in your life is the one you have with yourself. Without a positive relationship with yourself, every other relationship in your life will suffer. It always starts with you.
2. Friendships and relationships are collaborations. They are not one-way streets. Healthy relationships make both parties better.
3. Trust is built through actions, not words. You can’t pay attention to what people say or promise, only what they ultimately do. The way someone acts will tell you everything you need to know.
4. A real relationship is built on vulnerability. It doesn’t matter if it’s a friendship, a significant other, or even a business connection, the best exchanges are rooted in some level of vulnerability. At the end of the day, we’re all exploring life together. We want to have genuine connections.
5. Every relationship has its ups and downs. Conflicts and disagreements are inevitable. What matters is how each conflict is resolved. And the key is to always maintain a level of respect and benefit of the doubt so that both parties can be heard and mutually understood.
1. Your body is your temple. Treat it well.
2. Too much sugar and you’ll crash. Candy diets and processed food binges aren’t part of a healthy lifestyle. Your body is a reflection of who you are, your habits, how you treat yourself, everything. Cut out the bad stuff.
3. Lack of sleep is not a trophy. Bragging about only getting three hours of sleep last night is not something to be proud of. What it shows is a severe lack of balance and an unsustainable workflow. Life is a marathon, not a sprint.
4. Physical activity is crucial to personal wellness. No matter how busy you get, or how hectic things are, you always have to make time to take care of your physical body. Exercise is key. If you don’t, you’ll pay for it later.
5. Coffee is good, but too much coffee is bad. When your entire diet becomes “red-eye” after “red-eye,” it’s time to address the sleep problem.
1. You don’t get anywhere fast trying to cut the line. There are no shortcuts. Throwing someone under the bus on your way up will only come back to bite you. Focus on investing in yourself and your skill sets and let the rest fall into place.
2. Your reputation is everything. Above all, you always want former employers, co-workers, partners, and collaborators to speak highly of you. Upholding your reputation is everything when it comes to building a successful career for yourself.
3. It’s not about what you’ve done, but what you’re currently doing. Especially in our new world of digital media and personal branding, people want to know whose attention you are commanding today. What impact you are having today.
4. Humility goes a whole lot further than bravado. It’s not about convincing everyone how much you know. It’s about showing that you’re a team player by being willing to listen, learn, and add value where you can. No one likes a spotlight searcher.
5. Becoming a leader has nothing to do with a formal leadership position. Just because you have a big fancy title does not mean people will listen to you, or even take you seriously. To lead a team effectively starts with holding yourself to the highest standard and leading by example.
1. You aren’t aiming for perfection. You’re aiming for perfect practice. It’s not about tunnel-visioning on the shiny idea of the final product. It’s about treating each step of the way with intention. That’s how you create something worth presenting to the world in the end.
2. External rewards are fleeting and unfulfilling. They’re fun, sure, but they are not the end goal–not by a long shot. What holds far more value, and defines the quality of your life, is how many people’s lives you impact for the better. However, you choose to do that is up to you.
3. Believing your own hype is dangerous. No matter what you achieve, or how externally successful you get, you have to always remember the kid that started out on his or her path out of pure curiosity. You should never lose that childlike sense of wonder.
4. You are only as good as the last risk you took. If you have to rely on your last home run (which may have happened a long time ago) to speak for your current talents, you have fallen stagnant. Success over the long term is about constantly pushing yourself to take the next big risk.
5. Somewhere, someone much younger than you is practicing his or her heart out, coming for your spot. Just remember that. Anyone can reach the top of the mountain. The hard part is staying there.
That’s it for now, hope it’s going very helpful. Follow Us on Facebook
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