Have you ever started with a programming language and struggled to find the best way to learn it? It might have been your first time and you didn’t quite know how to get started. It might have been many years later and you wanted to go back to it because you thought you could use it to build something cool.
In this article you will learn about how to learn Python in 3 months.
Python is one of the most popular programming languages. It is an Object-Oriented Programming language with wide ranging application areas. The best part of Python is that, it is simple and easy to learn. You could say that Python has one of the easiest learning curves in the languages. However, to master and use Python, you must have in-depth understanding of programming.
In short, Python is a modern, object-oriented, structured, high-level programming language which is simple and easy to learn. It supports structured programming, object-oriented programming, and module system. It is used to create source code which is easy to read but gives high performance.
Why you should learn Python?
There are two main reasons why you should learn Python. First, Python is easy and straight-forward to learn. Second and more important reason is that it is one of the most popular languages used by data scientists. Almost all machine learning platforms and frameworks rely on Python. It is the most common programming language in data science. If you are interested in Machine Learning then you must be familiar with Python.
Moreover, Python has wide range of applications. It can be used in web, data analysis, mobile development, security etc. It is the most powerful and popular programming language used in the data-analysis and data-science. If you are a data-scientist and can’t decide between R or Python then, I suggest you learn Python.
Stages of learning Python
If you are learning a programming language then you should be going through three stages of learning.
The first stage is the learning phase – when you can learn the basics of the language. It might be a bit slow going at first but you will be learning.
The second stage of learning is the teaching phase – when you pick up a lot of the skills you need to be able to teach. This stage sound a bit unusual but it will help you immensely to harden your knowledge.
The last phase is the implementation phase. Here you will be creating something that you can use. It can be something small like a simple idea or a quick project.
Where should I start?
The absolute best place to start is by reading the official documentation. It’s easy to read and it will teach you everything you need.
What Will you learn? You’ll start with the basics. You’ll learn how to install the programming tools and use the interpreter to write and run Python programs. You’ll learn how to set up your environment and run Python from a command-line prompt.
You will be introduced to the basic idea of how programming in Python works and its syntax. The first part covered the basic ideas and was followed by an example of how we can create strings, numbers, and booleans. That was the easy part where you will understand the syntax and get some basic concepts of programming.
Next, you’ll learn the basics of Python – it was all about understanding the core elements of Python programming. You’ll went over basic data types. You’ll start with Strings, Booleans, and Numbers. You’ll then come to an understanding of how Python is a dynamic language and how you can execute statements inside the code.
Once you understood the basics, you’ll move on to creating functions. You’ll first look at data types, then create basic functions. You’ll learn to write functions that can be reused to perform calculations and transformations. You’ll learn to create data structures that you can use in your applications.
Then you’ll learn about classes. With classes in Python, you can create objects to represent the real world. You’ll explore some of the most common use-cases for classes, and also look at how you can use class methods to access objects. Then you’ll learn about Dictionaries, Lists and Iterators.
Finally, you’ll learn how modules work in Python. A module is a set of related functions that can be loaded into the Python environment and can be used as a library.
Python for Machine Learning and AI
Machine Learning, Data Science, Big Data, AI. In recent years, Python has become the most powerful and widely used language for learning and analyzing data. You can use it for some basic tasks, such as image classification, regression, and sentiment analysis but also for more complex projects.
Once you have an understanding of the fundamentals, you should move to the core of Python’s features: data structures, and working with them. You’ll learn how to import data, and work with it. You’ll learn how to transform data into a format that can be understood by data processing and machine learning algorithms.
A “machine learning” library provides a set of high-level functions for machine learning applications such as classification and regression. In a sense, it is a collection of abstractions for machine learning that can be used to build new machine learning applications that follow the methodology of one or more of the machine learning algorithms available in the library.
Machine learning libraries include classification and regression libraries such as scikit-learn and deep learning libraries such as TensorFlow and PyTorch.
Many different libraries exist, and many of them are based on very different approaches. Some neural networks are implemented as simple networks, but there are many libraries to include methods that use different types of neural network architectures.
Several free online communities offer help for choosing one of the many machine learning libraries. Machine learning communities on websites such as Reddit and GitHub provide useful insight based on their usage of the libraries. It is possible to build a machine learning application without any library at all, but most professional machine learning applications use a library for any application larger than a simple example.
Start learning now
In reality, the fact of the matter is that if you are really serious about learning, you can learn Python in 3 months but you can’t expect to be a professional in the field for such a short time frame. You will need to spend more than 3 months to achieve proficiency. It all depends on you. You can just start coding and you’ll probably learn a lot without even realizing it.
Don’t waste your time, start learning now!