Python is a high-level, object-oriented programming language. Most beginners in the development field prefer ‘Python’ as one of the first languages to learn due to its simplicity and versatility. It is also well supported by the community and keeps up with its increasing popularity. In this Python tutorial for beginners, we will learn the basics of Python as a programming language, and understand how to get started with it. We will also discuss the functionality of the language in detail.
What Is Python Used For?
The next time when you browse through Google, indulge in your daily dose of Instagram, spend hours on YouTube watching videos or listen to favourite music on Wynk, remember that all these applications use 'Python' for their programming needs. Python has various uses across different platforms, applications, and services. So, let us talk about this in our blog here:
Few Things In Which Python Is In ‘GREAT’ Demand
The large selection of pre-built Python libraries makes web development a rather simpler task. Writing a Python code is clean, has simple syntax, and is less time-consuming. It helps with quick prototyping thereby accelerating the ROI of commercial products. The built-in testing framework helps in shipping bug-free codes. Also, a larger selection of well-supported frameworks will facilitate speedy implementation and no compromises on the solution performance.
IOT – Internet Of Things
Just to keep it simple, the Internet Of Things is like ‘physical objects connecting an embedded system to the internet’. It plays a vital role in various projects from big MNCs and companies that involve huge data, machine learning, data analytics, wireless data networks, and cyber-physical systems. IoT projects also deal with real-time analytical platforms.
Python is scalable, expandable, portable, and most importantly it's embeddable. This makes Python system-independent and allows it to accommodate multiple single board computers, irrespective of the operating system or architecture. Python is excellent for managing and organizing complex, big data. It plays an important role for IoT systems that are filled with heavy data structures. It has a close relation with scientific computing, which is yet another reason to pick Python as the preferred language for IoT
Why Python Must Be Your Preferred Choice?
Python has become the most preferred choice amongst coders and geeks as the programming language for enabling data science and machine learning applications. Python is swift, simple, and less time-consuming compared to other programming languages.
Python is very easy to integrate with other platforms and other programming languages. It has a common object-oriented programming architecture wherein existing IT developers, IT analysts, and IT programmers will find it quite easy to transition to the analytics domain. Since the structure of Python coding is object-oriented programming architecture, it has excellent documentation support as well.
Why You Should Learn & Use Python?
Readable & Easily Maintainable Code
Multiple Programming Paradigms
Compatible across Major Platforms and Systems
Robust Standard Library
Open-Source Frameworks & Tools
Simplified Software Development Program
Now that you’ve set your heart on PYTHON, we are sure you’ll delve into the internet to search for the best online Python courses and join as a coder asap. However, before that, it's worth asking yourself why you want to learn it. There are two sides to the coin. Although, we’ve explained the simplicity and scalability of the language, at times it will be a long and painful journey. Without enough motivation and determination, you probably won’t be able it through.
For instance, I was completely clueless and blank when it came to college or high school programming classes; but I want Python to build a website so I will put all my efforts to study Python. It’s not a mandate, rather learn if you love coding. Figure out what motivates you; it will help you understand your end goal, and the path that reap your benefits and fame. Ultimately, you should be able to produce an end product that will help your company, college, or mankind.
How would you figure it out? Well! To begin with, you don’t have to figure out an exact project or area of interest, it should be a general area as you prepare to learn Python
Some of the most preferred and in-demand areas of interest for Python learning are as follows:
Data Science / Machine learning
Games & Processes
Data processing and analysis
Hardware / Sensors / Robots
Work Automation Scripts
Here are some tips to help you really stick to the new concepts you learn as a beginner programmer:
Consistency is the key to achieve success especially when you learn a new language. So, promise that you would code each day. Experts suggest muscle memory plays a large part in programming. When you code you utilize your brainpower to utmost potential and thus it would help develop that muscle memory. Though it may seem daunting at first, later when you start crack codes you would love to work upon it. Consider starting with at least 20-25 minutes a day.
Make A Note
As you progress on your journey, at times you may wonder if you should have written down the notes of it. Although you may opt for online Python courses it doesn’t mean you’re pro enough to memorize everything. Thus, research suggests that taking notes by hand will help you retain codes, formulae, and steps for the long term. It proves beneficial for those working towards the goal of being a full-time Python developer, as it will involve a love of writing codes on a whiteboard. When you prepare notes, you will save a lot of time on how things function in Python programming.
When you start with basic Python data structures such as strings, lists, dictionaries, etc, or debug an application, there are a lot of elements that need a clear idea and commands. For this 'Interactive Python Shell' can prove to be one of the best learning tools. To use the interactive Python shell first make sure you’ve installed Python on your laptop or computer. Further, to activate the interactive Python shell, simply open your terminal and run python or python3 based on your installation.
Take Enough Breaks
When you learn something, there is a thin line between curiosity and forcefully mugging up things. You need sufficient breaks and absorb concepts for better learning. Initially, try to listen to Python online lectures for around 20-25, take a short break and then repeat the process. Taking breaks is critical for an efficient study session, mostly when you’re to absorb Python coding and programming language. You need a lot of breaks when you debug because if you hit a bug & can’t figure out what’s going wrong you will really go mad. Step away from your laptop or smartphones, take a walk or visit social media, regain your energy and then come back to debug. Fresh eyes make a key difference. Take it as a game just like those ‘Find the odd’ ones on Facebook, Instagram and you’ll enjoy the process.
Stay Calm & Hunt ON
When you write complex programs there will be bugs in your code, you will tend to get frustrated. Common it happens to all of us! However, it's advisable instead of being frustrated embrace these moments in a calm situation and think of yourself as a bug hunter. After all, debugging needs lot of method approaches to help you find where things are breaking down. The best way is to go through the code in the order in which it's executed and make sure each part works a great way.
Follow Learners & Not Laggards
Though coding may seem a solo activity for geeks, it actually works best when you work together. Thus, it's good you surround yourself with other individuals who have aspirations to learn and share things. It allows you to share the tips and also learn tricks to debug, and create codes and learn along the way. There is a plethora of options to meet individuals who’re passionate about learning Python! Find webinars, group discussions, meetups, join PythonistaCafe – a peer-to-peer learning community for Pythonists!
Use Pair Program Techniques
It’s a technique wherein two developers work at one workstation to complete a task. The two developers switch roles between “driver” and “navigator.” The “driver” writes the code and the “navigator” helps to guide the problem solving and review the code as its written. Pair programming has various benefits such as – it gives you a chance to review code, see how others fix the problem. You get multiple ideas and ways of thinking to solve problems and move up the coding ladder ahead.
Ask Questions Out-Of-Curiosity
It’s well said, “Curiosity is the mother of invention.” All the greats in the world were curious and kept asking questions to develop impeccable solutions to mankind. When you ask questions to the educators or professors while learning Python, it will create ways for you to develop codes, debug and make sure you be a smooth Programmer in the near future. Make sure you’ve good questions in your kitty as answers to them will save a lot of time. As a beginner, make sure you have good questions so that you learn to practice communicating your thought process to peers and educators.
Attempt To Build Something
For beginners, small exercises are like boosters to their confidence with Python. It also develops muscle memory. Once you learn the basic data structures (strings, lists, dictionaries) object-oriented programming, and write classes, it’s now time to start building things. There are a lot of beginner Python projects that you can start with such as:
Number guessing game
Simple calculator app
Dice roll simulator
Bitcoin Price Notification Service
After reading all this we’re sure you are amused with the language. Want to become a data scientist but don’t know Python language? Don’t worry, we’ll help you. With our Online Python courses for beginners, you can study right at the comfort of your home or convenient location and kickstart your data science journey. You don’t have to spend a huge sum from your pockets to enroll in the program. Our courses are offered at pocket-friendly prices and all you have to invest mere 30 minutes a day for a few weeks, and in just a couple of months, you’d know how to use Python for data science.
To enroll in our online Python courses, download Ekeeda and select the “Python for Data Science” course, pay the fees and that’s it you will get access to the course material.
Why Choose Online Python courses from Ekeeda?
There are many advantages to join our Online Python courses such as:
You’ll learn Python from an experienced team of instructors who will make it fun. They will guide you through the course, and you can clear doubts when required.
Ekeeda’s professionally designed Python content is quite engaging and filled with real-life instances. It will make sure you get the best online learning experience. Our content is simple, and it’s easily able to grasp concepts and complex structures.
You will get access to live lectures wherein pioneers and top educators will help you clear doubts and enhance your learning experience.
Once you complete our Python online course, you’ll receive certificates from the Corporate for the Virtual Work Experience Program. It will enhance your CV substantially.
What Will You Learn At Ekeeda?
Python is one of the most prominent and in-demand programming languages where it’s used in various applications such as data science, artificial intelligence, and machine learning. Python is an easily structured and coding language that you can learn quickly. Our Online Python courses for beginners will cover the basics and advanced concepts that will help you understand its fundamental uses in these applications. Our course has 10 sections namely –
Introduction to Python Primer Course
Basics Of Python
Functions in Python
With Ekeeda, you will gain in-depth knowledge on Python code for Big Data Systems. You will get hands-on training from seasoned experts and top educators. So, folks why wait and lack in your professional race? Enroll with our Online Python courses and stay ahead in your competition today! Ensure you get job-ready by learning Python with the best!
Our users have achieved so much in just a little time.
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