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How To Learn Python Fast To Became a Data Scientist – Road Map To Learn Python Fast.

How To Learn Python Fast To Became a Data Scientist - Road Map To Learn Python Fast.

how to learn python fast to become a data scientist if you want to learn python programming language starting from zero to become a data scientist this video is for you in this video i will give you the steps of the real road maps to learn python fast as much as possible to become a data scientist this roadmap helps you to facilities learning process and also i will recommend the most important resources or materials to help you learn python fast okay before we dive in further i would like to establish some assumptions i have made about you and your reasons for watching this video the first assumption is i think you have a little or no prior experience learning python you have no pattern programming background or coding experience you are committed to learn python and you are interested in resources and strategies for learning python this video is for you if you want to learn python programming for data related programs like to become a data scientist data analyst data engineer or generally if you want to use python for much learning you can follow this roadmap to learn python this roadmap gives the easiest step and it takes the less time to finish by the way if you are new to my channel my name is awaka from alert code in this youtube channel i will upload so many programming videos which is related to python programming language data science artificial intelligence machine learning deep learning nlp blockchain and many more contents every week if you want to get more content from my channel please subscribe my channel and turn on the bell icon to get the notification when i upload a new video ok when we come to this video this video is roadmap to learn python fast to become a data scientist so lets get started the first step to learn python programming language is instilling python interpreter like all high level programming languages python code resembles english language which computers are unable to understand so codes that we write in python have to be interpreted by a special program known as python interpreter which we will how to install before we can code test and execute our program so the first step to learn python is installing python interpret to install python interpreter you can go to python.org official website and you can download and install is the lastest version of python when at the time of making this video pattern 3.10 is the latest version of the python interpreter so you can download it and install on your computer depending on your operating system this process may take almost 50 to 20 minutes only ok after you install python we move to the next step the next step is selecting end installing ana ide id is a short form of integrated development environments ide or integrate development environment is an application that lets you to script test and run codes in python when it comes to ids the right one is the one that you enjoy using the most according to various sources the most popular python ids or text editors are pycharm spider jupiter notebook visual studio atom and sublime and also the good news is they all are free so you can try out a couple before you select one however if you wanted to learn pattern for data science the most recommended python ids are jupiter notebook and google cola so in this road map i will recommend you to use a jupiter notebook or google column as a python id this process may not take more than 20 minutes to set up any python id the third step from this roadmap is the third step from this roadmap is understanding python fundamentals in this step you start to learn python fundamentals when you start learning python programming language you need to start from the basic so the point is that you must learn those topics from this section to become a data scientist okay from this section you must understand variables in python from this you will learn about what are variables in python or the use of the variables how to name variables in python that means the naming a convention for variables how to reassign a variable and also you need to know what local and global variables in python these are the topics you need to understand when you study variables in python okay after you understand variables in python you need to go to the next topic from the fundamentals of python programming lines which is basic operators in python when we come to the operators in python programming language you will need to understand arithmetic operator relational operator assignment operators logical operator membership operator identity operators and lastly bitwise operators there are almost some types of operators you need to understand when you study operators in python ok now we can move to the next basic fundamental section which is understanding basic data type in python in this section you need to understand int data type float data type string data type and also boolean data type and also you see the basic data structures like lists tuples sets and dictionary you also need to understand those topics ok after you finish this section you need to go to the next section which is understanding conditionals and loops in python programming language this section helps you to understand how to use if l if and else statements and also how to use for loop and while loop in python program especially the syntax and the algorithm how they work okay after that we move to the intermediate python session which are especially how to create use and call functions and also what are modules and how to use them also you need to understand file handling error handling in this section after that you need to the most advanced topic in python which is object oriented programming this session is the most tricky section in python in object oriented section you need to understand what are objects in python how to create objects what is inheritance and also knowing instantiations of objects in python okay now we move to the data analyze section in python this section you need to know some important python libraries which is easier to analyze data for your project now i want to list the most popular ones when we start listing those popular python libraries the first important python library you need to know for data science is numpy numpy means numerical python so you need to know how to import and how to use numpy in your python project okay the next important python library for data science you need to know is pandas you also focus on this python library to read and manipulate data in python so studying pandas is also important after you study pandas you also need to know about math blood sleep and c4m python libraries for graphical visualization of data in python also you can see scikit-learn or sklearn title library machine learning algorithms ok after you know those important python libraries for data science the next is start learning machine learning and deep learning so to start learning a machine learning and build a model you need to understand the three main types of machine learning those are supervised learning unsupervised learning and reinforcement learning ok this is already a rough roadmap to learn python for data science those tips are the basic steps which helps you to facilitate your learning progress i think you get some concepts how to learn python fast so you can follow those steps and get a good understanding about python programming language okay this is all about todays video thanks for watching ill see you in the next video thanks again

How To Learn Python Fast To Became a Data Scientist - Road Map To Learn Python Fast. Python For dummies: Questions

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