Teaching children, although rewarding, is not an easy task. It requires patience, an eye for detail and the ability to stay calm when the learning process goes sidewise. So how does a parent who doesn’t have the formal education to instruct children take up the reigns and become a teaching superstar? We’ll go over five tips that will give you guidance in teaching your children coding or any other subject. You’ll just have to provide the patience.

Succeed by planning and scheduling

There’s a theme when it comes to doing just about any task, plan and schedule. Although you have heard it a thousand times, it’s always worth repeating. Before you teach or tutor your children, craft a lesson plan and schedule. If you are teaching your children in place of school, try to adhere to a normal school day routine. Be specific in your planning and ensure there is enough time to tackle all the subject matter you have scheduled for the day. If only one subject is on the agenda, say like coding, most of your efforts will be in the planning phase rather than scheduling. However, regardless of the number of subjects, put effort into your planning.

Meet with your children

Sometimes a meeting can’t be an email. Meet with your children and discuss the day’s lesson plan. Talk over expectations and give them a clear idea of what they will be learning. Utilizing a visual aid, like a tablet or the old-fashioned route, a whiteboard, can help your children see what the day will have in store. There is no need for surprises when it comes to learning.

Take suggestions

Education should be an interactive process. Ask your children for suggestions on everything from lesson plans to teaching techniques. Discovering how your children learn will lead to more success. Which in turn will make your job as the teacher much simpler.

Ask for help

Do you have a friend or acquaintance who is a teacher? If you do, fabulous, because you have someone who has the knowledge and experience to lend you a helping hand. Don’t be afraid to ask for help when you feel stuck or confused. Advice from a professional can give you that boost of confidence to become an awesome at home teacher.

Don’t forget the breaks

You may want to power through the subject matter at breakneck speeds but remember, you are teaching children. This is especially true if you are teaching an entire course load of material. Schedule enough time for breaks and don’t forget the food and drinks. Nutrition is vital for young learners

Teaching your children may be challenging but it’s not as daunting when you are prepared. Plan, schedule and allow your children to provide input. With some effort and an investment in time, you and your children will enjoy the entire process. You may not even need as much patience as you originally thought.

You think you have a solid, at-home learning plan but it soon becomes derailed by a litany of distractions and obstacles. It can be quite frustrating. Learning at home has its fair share of challenges, but it also boasts plenty of pluses. If you formulate a proper plan and make a few tweaks to your learning environment it can be a rewarding experience. We promise. Here are 5 tips that will help you become an A+ home learner.

Craft a relaxing and efficient study space

There are easy options when it comes to spaces for learning at home, such as the dining room table or a desk in the middle of the family action, but these are rarely the best choices. Although these areas can work, you want the best possible space to learn effectively. Find a location that is not only comfortable but also allows you to focus with minimal distractions. Good old-fashioned trial and error can be utilized to find the ideal learning space.

Have a plan and be organized

Learning can be exciting, so, understandably, getting down to work immediately sounds like a fun idea. But rushing into your studies without having a plan will greatly reduce your chances for success. Instead, take time either the night before or early morning to create a learning plan. Additionally, keep your learning space organized and clean. Don’t let clutter get in the way of being a superstar student.

Dress for success

It’s an enticing proposition; learning while remaining in your PJs for the entire day. Although, there is an inherent comfort with learning from home, forgoing PJs and opting for something more appropriate for daytime hours can boost your learning potential. You don’t have to dress as if you are going to a job interview, but a comfortable pair of pants and a nice shirt can do wonders for your attentiveness and confidence.

Set goals

How do you know if you are making progress if you don’t set goals? Well, you won’t know. That’s why goal setting is a vital step in the at home learning process. Like how you produced a learning plan in the previous tip, allot time to craft short- and long-term goals. You can have daily, weekly, monthly and even yearly goals. Make them challenging but not too difficult. You want to set yourself up for success.

Take breaks

Yes, even learning from home requires a student to step away and take a break. When you plan for the day ensure that you leave time for at least one 15-minute break. During this breaktime, you should push your studies to the side and focus on something entirely different. It can be reading a book, reading emails or even housework. The key here is to give your mind a break from learning and recharging for another round of studying.

Learning from home can be comfortable, rewarding and fun when you follow these 5 simple tips. Now the only thing you have to prepare for is your exceptional success.

By Camille D., Age 17


Developed in 2009 and made available in 2012, Julia is one of the fastest-growing languages in the industry. As it routinely makes an appearance in language popularity rankings, there is a potentiality for the language to outshine languages such as Python in the realm of computational science and general programming.

Julia was created by Jeff Bezanson, Stefan Karpinski, Viral B. Shah, and Alan Edelman, with a collective desire to unify the best amenities of all the big languages, from the “speed of C” to the  “dynamism of Ruby.” It was crafted with flexibility and versatility in mind – the language boasts the ability of its users to “write an algorithm … and apply it to an infinite lattice of types.”

No language is perfect; you are always making a trade-off when choosing a language to learn. A C++ pupil will enjoy the language’s high speed, but will miss out on the straightforwardness and garbage collection capabilities of Java. There will never be such thing as a language that will solve every issue or be free of any shortcomings whatsoever. Nonetheless, programming languages have evolved rapidly, and Julia exemplifies how far they have come. Here are a few reasons to choose Julia.

Julia is fast and high-performing. Applications created with Julia use the LLVM Compiler Infrastructure to efficiently compile the code to machine language for multiple different platforms. When writing code in a compiled language, you must explicitly define the types of variables you will use and the operations intended to be performed on them. Since the hardware will know exactly what to do as a result, the code will be executed quickly and efficiently. On the other hand, the CPU does not have a concept of the “variables” you use when writing in an interpreted language. The interpreter must provide instructions to the CPU about what the variables contain (i.e. int vs. float data type), forcing the CPU to wait. This is what makes interpreted languages slow relative to compiled languages such as C. Julia falls somewhere in the middle of the spectrum of compiled and interpreted languages. Julia’s compiler doesn’t have to have the information previously mentioned, but it is prepared for when a function is called and acquires all the material promptly. From the information provided, the compiler puts together fast and precise CPU instructions.

Julia is packed with immense capabilities in data science and numerical computing. When using Julia, it is evident that conventional mathematics become closely bound with programming. The Julia REPL (a programming environment in which a user types in a command and can easily see the result of their command) gives access to symbols often used in mathematics, including Greek letters and subscripts. The symbols are inserted by typing a backslash \, followed by a string corresponding to the character. For example, entering “\Gamma” will return the Gamma symbol Γ.

A rather unique feature that comes with Julia is function composition, which is achieved by the operator (∘). For example, writing (sqrt ∘ *)(5, 2) will multiply two numbers, 5 and 2, and then find the square root of the result. Julia is also packed with external call support, and can link with a throng of languages including Python, Java, C++, and R. Python applications can call Julia through PyJulia, and R applications can call it through through its interface, JuliaCall.

Julia is versatile, which is the principal reason why it is so ahead in the game. It provides a wealth of tools and frameworks for deep learning, data visualization, and graphs, and capabilities for clustering, trees, and generalized linear models. Even with a seemingly infinite capacity for mathematical transformations, however, Julia is excellent for general programming, as users can write UIs, statically compile code (even though it is generally dynamic – types of variables aren’t known until runtime), and deploy it on a webserver.