In today’s world, the most preferred programming language for Data Science is Python because of its various libraries for storing, manipulating, and gaining insights from data. This Python tutorial will help you to learn various concepts of Python programming language.
In this tutorial, you will also gain knowledge about Python basics, Python object-oriented programming concepts, development environments, processing and manipulating data, design captivating visualizations, and solve scientific computing challenges and so on.
Whether you’re new to Data Science or you have just started with Python, Intellipaat Python for Data Science Course is your perfect choice to getting start with overload data and discovering interesting facts from the heaps of information.
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To learn Python for data Science, there are several reasons. Some of them are as follows:
While learning as a beginner programmer, you should follow these tips which will help you to deal with the new concepts:
It is important to have consistency while learning any new programming language. It is important that you should make commitment to write code every day. As it will play with your muscle memory which is a very important part in programming.
It is important for anyone who is new to programming to take notes. In fact, some of the research have suggested that taking notes by hand is most helpful way for long-term knowledge retention especially beneficial for those who goal of become a full-time python developer. This practice will help you when you start working on projects. This practice of writing code can also help you plan and understand your code before you write it on the computer. This will save a lot of your time when you have to write codes for functions and classes, as well as it will make you understand how they are interacting.
Whether you are new Python data structures (dictionaries, lists, strings etc.), or you are debugging an application, the best learning tools is interactive Python shell.
To use the interactive Python shell, first you should install Python on your computer. The step-by-step installation procedure of python you can learn in this tutorial. To activate and use the interactive Python shell, simply open the terminal on your system and run python or python3 depending on your version of installation. Now that you know shell is open, you can write code.
Exercising both mind and body is important while studying this will help you to absorb the concepts. According to the Pomodoro Technique: work for 25 minutes, then take a short break, and again repeat the process. Taking short breaks is important for an effective study session, mainly this will help you in taking a lot of new information.
Hitting a bug is applicable when you start writing a complex program. Surely, there is a high possibility of hitting a bug into your code. Don’t get frustrated, it happens with everyone! Instead, grip these moments as a pride and think of yourself as a bug bounty hunter.
It is important to have a methodological approach while debugging the code, which will help you to find where your code is breaking down. Going through your code step by step in its executable order and make sure each part of code works is a great way you want it to do.
Always try to surround yourself with other learners. This will help you to share and gain the tips and tricks you learn along the way.
You would have heard that the appropriate way to learn something is teach that concept to other after learning it. This is very true when it comes for learning Python as well.
You should always ask question. Asking questions will help you to gain new knowledge on certain thoughts, and by answering questions you will recollect all your previous knowledge. Recalling and sharing concepts with others and hearing it again will help you to recollect your knowledge, as well as make your brain to work.
Always try to build small project for each concept. This will help you build confident of writing Python program, as well as this will help you to develop the muscle memory. Once you have a solid foundation on basic data structures (dictionaries, strings, sets, lists), object-oriented programming, and writing classes. This will also teach you the most of your programming concepts
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