How to master python??




Python is one of the best beginner-friendly programming languages that can really help you kick-start your career as a programmer.


So today We will go through how you can learn python as fast as possible

and we will discuss about 7 really good tips for how you can learn python fast and how you can grow as an effective programmer


If this is your first programming language it can be a bit overwhelming at the start so you might have an idea of where you want to start but you may lack a complete structure on how to actually achieve your goal.


There are different ways to learn a language and everyone has their own method for

achieving the same result


Tip 1:

First understand the why should you learn python and is python the right language for you to actually learn


So,python can be used in lots of different various fields like machine learning,data science ,web development ,game development and lots of other things


So figuring out why you're actually learning python is going to be a really good thing because it will give you a clear end goal of why you're learning it and that will help you then stick with it which is really important and so if those things kind of spark your interest then python is great .

But if on the other hand you're thinking that you want to learn python because you want to get a job as an ios app developer then you may need to choose a different language


So having a clear picture of what you want to do with python at the end will really help you stay motivated and just kind of stick with it when things get a little bit tougher. Maybe you're looking to change careers or looking to prepare for that job that you want really badly.


Those sort of reasons can really push you to learn a lot more and just help you stay focused


the important thing is figuring out your why

Tip 2:

Second tip is to learn how you actually learn best



At first this concept can be a little bit confusing but it is one of those really essential things that you need to figure out in order to continue to learn python or to learn any other language in the future.


So everyone kind of has their own techniques for learning and there's no right or wrong way to do it

It all really just depends on how you learn best if you're a more visual person then learning through video based tutorials can help you understand the concepts better than going through a book with no images and no visual input. 


Platforms like udemy udacity,codecademy,coursera or treehouse are great and might be more suitable for you


They're interactive and you'll get to code along with the instructor as they show you step by step how to solve a problem or code a project from scratch.


For those of you who love reading and writing you may find videos to be a waste of time but going through the official python documentation or a book will be more your cup of tea


You'll get to learn as you read the concept step by step at your own pace and follow the code snippets included


The final way is where i think most people find themselves basically utilizing both methods through combining text and video based tutorials going to freecodecamp python track,learning by reading the concepts doing some challenges and also watching a udemy course to help you understand it a little bit deeper can be really helpful


 You can also buy a book like automate the boring stuff with python to give you project ideas to work

Tip 3:


Now we get into the how to go about learning python specifically 


So my first tip here is to learn the fundamentals of the language


Understanding the fundamentals of python is really important because it will set a really strong foundation for you.As you start to climb the ladder of learning more and more advanced concepts it may look easy and


You may be tempted to kind of skim through this and just jump to the more fun part

that's more complex like starting to build projects 


But don't do that because this is how so many people quit before they even start


So what are the fundamentals?

 Number one is variables and they're used to store data,second we have operators they help to assign compare and add values etc


Thirdly control flow .It uses conditional statements to create the order in which

your code will be executed like if else statements


The fourth fundamental concept is functions they're reusable code blocks that performs a specific action when called


Number five which is data types so here you need to understand how different types of data like numeric,sequence, mapping booleans and binary types actually work


Lastly we have loops and this is used to execute codes several times within a certain condition


Tip 4

If python is not your first programming language then it will be easier for you to grasp object-oriented programming in python since you most likely already know how it works


The only difference will be in changing up the syntax which will not be

that difficult with the clear python documentation


But if this is your first time learning about it, you will need to take some time

to understand concepts like how to create a class, how to create an instance

variable, how to use methods and how inheritance works .

Most of this is essentially just how classes work which is what you need to know


Once you understand them and how they're used you'll be able to continue advancing not only in python but in any programming language that you want.

 

So make sure that you understand object-oriented programming before you dive into more advanced topics like reversing a list or lambda expressions

which is what makes it stand out and





Tip 5:

Tip 5 is which is to learn how to work with data structures



If you want to learn python properly or you want to get a job for instance then data structures are really important and they really help you build problem solving skills that are really important for projects that you build and structuring your data and so whether you're working on a big project or a small one ,it's always good to keep data structures

in the back of your head


You can go through the data structures like stack,queue, linked list and trees which are also available in other programming languages get to know how each of them is used and when they're useful 


They're also used in coding interviews to see how you solve problems platforms like leadcode.com or hackerrank.com are the most popular ones to solve data structure and algorithm


Instead of doing like 50 questions in one go i would suggest doing one to two

questions in a day and then you'll be ready enough to walk confidently into a

coding interview .


 I suggest putting in an hour or two into this five days a week at the start and it's actually a lot of fun so i think that you may find yourself spending way more time on this by accident


If you want to become a great pythonista or programmer in general then learning to solve problems is really important because solving problems is like 70% of what a python developer does on a daily basis


When you run into a problem, figure out a way to break it down in as small  part as possible because that will help you not to be too overwhelmed and help you actually solve the problem.


Like i said in the previous tip problem solving really helps you build a way of 

thinking like you almost become a computational thinking system when you find a problem try to solve it first before asking or looking for help.


When it becomes more challenging you can google for the solution platforms like stack overflow will be really useful for you here and try to form a love for solving problems the more you practice them the better you become and there's no shortcut for it or fast track method


It's just solving challenges until you start to think like a programmer which may sound harder than it actually is mostly thinking like a programmer is just about breaking problems down as much as you possibly can until it is as basic as possible .


I mentioned platforms like hackerrank and leetcode will really help you with that


Joining a community can be a really important thing that can really help you grow a lot faster in your learning journey


So finding people that are on the same journey as you and connecting with them can actually be really helpful and it's really good to have people around you that actually understand your struggles


Community  help each other out and give each other pointers to improve

and grow there are lots of different platforms out there to connect with pythonistas such as meetups in your local area 

If you're new and you don't know anyone you can join the online community and follow people who are learning python as well or who know python and


You never know you might get connected with senior developers in different companies

who can help you kickstart your career .



Tip 6:

Tip eight is a non-obvious one but it's really useful and that is to share your knowledge with others as you're learning


This will help you understand the concepts that you're trying to teach and it will push you out of your comfort zone. 

There are many ways you can share your knowledge and teach others 


You can start a youtube channel and show people how you created your projects and it doesn't have to be super complex you can start by just creating  small projects like a snake game,tic-tac-toe,music player or even an instagram photo downloader.


If you're not too comfortable with making videos you can start a blog on different platforms like dev.2,hashnode,daily dev or medium  

Don't worry if you're not an experienced python developer just start where you're at and then keep growing and keep building as you grow your skills if you're learning python together with a friend then you can take turns kind of explaining different concepts to each other as you're learning them




Explain to other people can really help you understand and what you actually understand and what you don't understand 


Tip 7:

Tip number nine is to contribute to open source projects and it's never too early to contribute to open source and you may feel like a beginner you may feel like you can't

really start doing that yet


But there's so many open source projects out there that are just looking for volunteers

and that would be super appreciative of any help that they can get.


So i think that's a really good way for you to start even if it's a little bit intimidating

and it's also a really good way to start learning about git and improving your git workflow which will be really important  once you get employed somewhere


Here's a list of great open source projects to get you started


number 1: tensorflow 

Tensorflow is a machine learning framework and if you're interested in machine learning or deep learning it's a great place to get started


Number 2:flask 

This is a lightweight web framework written in python it helps you to quickly start and

scale your application as it grows 


Number 3:django

django is also a web framework built with python and this uses the model template view

pattern or mtv pattern and then we have keras


Number 4 :keras

 keras is a neural network library written in python and this runs on top of tensorflow theano or cntk

 

Number 5: youtubedl

youtubedl is a command line program that helps download videos from youtube and other sites


Number 6:face recognition 

It recognizes and manipulates faces from python or from the command line with the world's smallest face recognition library


Number 7:ansible 

ansible is an open source tool that handles configuration management and deployment

of your system or applications


Number 8: httpie 

httpie is a command line http client that aims in making cli interaction human friendly

It can be used for debugging interacting with http servers or even testing

 

Number 9:Pandas

pandas is a python package that provides fast,flexible expressive data structures created to make working with relational or labeled data easy

 

Number 10: scikit-learn 

Scikit-learn is a python library for machine learning that's built on top of scipy on top of these projects you can also make your own open source project and let others contribute you'll get to learn more about how to manage a project as a maintainer and do quality code reviews to contributors and


If any additional tips I missed Please let me know in comment section