A growing body of research indicates that raising kids with pets can have numerous benefits for their physical, emotional, and social development. Here are a few examples of studies that have explored the benefits of raising kids with pets: Physical benefits: A study published in the American Journal of Public Health found that children who grow up with pets are less likely to develop allergies and asthma. Another study published in the Journal of Pediatric Psychology found that children with pets had lower blood pressure and cholesterol levels and improved cardiovascular health. Emotional benefits: Research has shown that pets can help children develop stronger emotional bonds and improve their social skills. A study published in the Journal of Developmental and Physical Disabilities found that children with pets had higher self-esteem and lower levels of anxiety and depression. Social benefits: Pets can also help children develop social skills and build relationships with others. A study published in the Journal of Applied Developmental Psychology found that children with pets had higher levels of social competence and were more likely to initiate social interactions with their peers. Overall, the research suggests that raising kids with pets can have numerous benefits for their physical, emotional, and social development. If you’re considering bringing a pet into your home, it may be worth considering the potential benefits for your child. Choose the right pet: Some pets are more allergen-friendly than others. For example, hypoallergenic breeds like poodles and bichon frises produce fewer allergens than other breeds. You can also consider a reptile or fish as a pet, as these animals are generally considered hypoallergenic. Keep your home clean: Regular cleaning can help reduce allergens in your home, whether you have a pet or not. Vacuum frequently, especially in areas where your pet spends a lot of time, and consider using air purifiers to filter allergens from the air. Gradually introduce your child to pets: If you’re considering getting a pet and your child has allergies, consider starting with a short-term visit to a friend or relative’s home with a pet. This can help your child become more accustomed to the allergens and may help prevent a severe reaction. Talk to your doctor: If you or your child have allergies or asthma, it’s important to talk to your doctor before bringing a pet into your home. Your doctor can help you assess the risks and make a decision based on your specific allergies and medical history.   Choosing the best companion for your family The most beneficial pet for a child will depend on a variety of factors, including the child’s age, interests, and allergies. However, some pets may be more beneficial for children than others, based on the research that has been conducted. Here are a few examples of pets that may be particularly beneficial for children: Dogs: Dogs are often considered to be one of the most beneficial pets for children, as they can provide love, companionship, and numerous health benefits. Studies have shown that children who grow up with dogs are less likely to develop allergies and asthma, and may have lower blood pressure and cholesterol levels. Dogs can also help children develop stronger emotional bonds and improve their social skills. Cats: Like dogs, cats can provide love, companionship, and numerous health benefits for children. Studies have shown that children with cats have lower levels of anxiety and depression, and may have improved cardiovascular health. Cats can also help children develop stronger emotional bonds and improve their social skills. Fish: Fish can be a good choice for children who have allergies, as they are generally considered to be hypoallergenic. Fish can also be relaxing and therapeutic to watch, and caring for them can help children learn responsibility. Ultimately, the most beneficial pet for a child will depend on the child’s individual needs and interests. It’s important to choose a pet that is a good fit for your child and your family, and to be prepared to provide the necessary care and attention to keep the pet healthy and happy.                       This is a personal blog. My opinion on what I share with you is that “All models are wrong, but some are useful”. Improve the accuracy of any model I present and make it useful!

python pandas junior data scientist

I guess you’re already familiar with R and have a sexy Data Scientist job but you’ve heard the cool kids in the industry are also using Python. I said also, because as you can see from people’s job titles, Reddit ,LinkedIn and so on, there are plenty Data Scientists that use both. You have probably figured that I’m an R enthusiast myself. I realized a long time ago that I also have to learn Python (I wanna be a cool kid as well). I struggled at first. Why? My current and previous roles were very much R based. Nobody used Python. 1st try: I knew it’s easier to move into this direction together with the team, so I proposed that all 5 of us (Data Scientists) on the team go ahead and take a Python course. One colleague was on board. In the summer of 2018 we went and sat in on an in class Python training . The training wasn’t too bad, but it was general Python programming, not Data Science specific. In order to get the diploma we had to do an assignment, so we did a Data Science one and started discovering a bit of Python for Data Science. I can tell you that it was a bit painful, using pandas was just weird. I like how this guy describes the experience in the Reddit post below: This is pretty much the whole 2018 Python experience that I had. And I stopped. 2nd try: In 2019 I went on maternity leave to take care of Baby B (my 1st born). I felt like it was the perfect time to really learn Python for Data Science and put it on my CV. I bought a bunch of books. I also enlisted to a number of really good Pluralsight courses. Pluralsight is golden for a Data Scientist / ML Engineer etc: (Note: I participate in affiliate programs. This post may contain affiliate links from Amazon or other publishers I trust (at no extra cost to you). I may receive a small commission when you buy using my links, this helps to keep the blog alive! See disclosure for details.) Doing Data Science with Python Understanding Machine Learning with Python Pandas Fundamentals Exploring Web Scraping with Python Start a 10-day free trial at Pluralsight – Over 5,000 Courses Available I would say that in 2019 I got a good grasp of how Python works (compared to R): Python is a general programming language, that also knows how to do what R does best 😜: data wrangling, engineering, feature selection, etc and that pandas is trying to copy dplyr; There are many IDEs where you can write and run Python code and that the majority use Jupiter notebook (yuck 🤢); It’s a mess if you don’t know how to use a specific Python version and virtual environments; Python is pretty strong on deep learning, deployment and production of models; 3rd try: In 2021, I went back to work and I jumped on the first Python project in the team. In the meantime, another Data Scientist colleague switched to Python and built a robust neural network project for fraud. It was the perfect opportunity for me to put my new skills to test and see if my efforts in learning Python are paying off. They have: I was able to Validate the Fraud Project and give some recommendations. For every big project we have a Development and a Validation part – so that at least 2 Data Scientists are involved in one project. Was I able to develop my own project in Python? No, because I went on maternity leave (again 😅). 4th try: We’re now in 2022 and I think I found something that is super helpful in switching to Python: RStudio is now home for both R and Python (hurray!! ). How cool is this? When I found out, I jumped straight into updating my RStudio in order to be able to run Python. For the initial setup, just follow the official RStudio guidelines. Do I think this helped? Oh yeah – it helped me a lot. So much so that I even decided to even start blogging about my mummy & Data science experience. Python does not look so scary anymore: One major difference is that now you have to “pip install” your libraries in the Terminal , not in the Console / Script, the way you would do it in R – not a big deal. So, RStudio as the IDE + a personal project = the way to go. You know what they don’t say – 4th time is a charm :). I can thank RStudio for making me fall in love with Python. Now I’m trying to learn OOP for Data Science. I’ll update you soon! This is a personal blog. My opinion on what I share with you is that “All models are wrong, but some are useful”. Improve the accuracy of any model I present and make it useful!