The Python Learning Roadmap Almost Everyone Gets Wrong
By adhering to the 80/20 rule 80 percent writing code logic, and 20 percent learning, makes sure you earn actual skills. This practice avoids mistakes in coding such as missing practical training, so you can become a good Python developer quicker.
And having such an approach will help conditional statements, loops and other basics be applied effectively, have cleaner code which can be written to the best practices of coding and bring confidence.
davieasyo
Rated: 4 stars
https://www.youtube.com/watch?v=JjpfJNC8XiA
Why Learn Python
Okay fine, so why should you learn python? Today, Python itself is one of the most suited languages to begin with, and this is why. It is multi-purpose meaning you can use it to build webdev, AI, automation, scripting, games, data science and whatever most folks do.
It is in humongous demand all over. It always is 3 among the most requested programming languages in terms of job postings and the average family in the United States earns the salary of more than 100,000 dollars working with the Python programming language. It is also easy to read, newcomer friendly and perfect in terms of making a personal or professional project.
And thus, you are not wasting your time learning Python but then again you are wasting your time unless you have a plan. Along with that, you should also ensure that as you learn this one, you go by the 8020 rule whereby 80 percent of your time is doing coding and 20 percent is learning or going through the tutorials.
Phase 1: Core Python Fundamentals
That being said, let us start with phase one, which talks about the very first things you need to learn as far as Python is concerned and those things are the pythons fundamentals. Alright, in this case, this involves the basic syntax of python. This, you should be able to accomplish in a matter of one to two weeks, rather than the months. All right, here is what you should concentrate on. Variables, list of data, dictionaries, and tpples. Okay?
And after that you should consider operators. So cond operators and arithmetics operators and stuff like type conversions. This is the way you do math, for instance how you operate on the various types of data, how you can reconvert them and how you can sort the various objects. Then you must look at conditional statements. Such things as the use of on statement, off statement, on on statement and then loops namely, for loops and loops which are the basic of all programming languages. Then a bit more advanced stuff such as the slices and exceptions, like mutability. Well, then objects can go anywhere or anywhere, or stay and then functions, of course. You need to see now that you know that you will have to consider object-oriented programming, classes, objects, and methods. and then how you go about making various classes and what that is and what object-oriented programming is about in the context of Python. And one other thing I would say here is just to not jump into frameworks or things like data science yourself. Simply acquire the language. Turn to one source, YouTube channel, Udemy course, anything.
Whatever does not count. Or even even consult the official documentation, just go page by page. Take the exercises and ensure that you master all of them. And now that you have that you have to make something. Okay, what I would suggest you do is build a basic command line app. This might be something as simple as a simple calculator or a to do list or a text-based game. At this juncture the thing is to get used to the syntax and the ideas that you are learning and how you can apply it to some actual problem. This is one that should take you a week or two to do something like this. And when you find yourself stuck, that is all right. You can just Google it. Seek the steps to do something. That is the way you learn. Avoid cut and paste. Learn it and then apply yourself.
Phase 2: Algorithm and Data structures
It is important to learn data structures such as arrays, linked lists, stacks, queues, trees and graphs and algorithms such as sorting and searching algorithms, and recursion to master the logic of effective code writing. This step (lasting approximately one month) perfects the ability to solve problems and minimize error in more complicated circumstances in coding.
It is also possible to train on such platforms as LeetCode or HackerRank, trying to solve 50-100 problems of the easy and medium level, thus mastering the key concepts of time and space complexity. This promotes clean code and prepares an individual ready in technical interviewing which is a major step in coding software development.
Learning these will not only aid in writing efficient code without making the most common coding errors such as inefficient algorithms but will form a basis of best coding practices in any given programming language.
