A Beginner's Guide to Pursue Python Programming
In this ever-changing world, Python programming tutorials have been at the centre of attraction for most programmers. Today, Python programming for beginners is one of the most sought-after skills. However, before you enroll in the Python programming course, it is necessary to get a basic overview of it, future opportunities, and the optimum way to learn Python. So, in this article, we will address all such questions regarding Python programming and the subsequent career opportunities that it presents.
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A Beginner's Guide to Pursue Python Programming
Know about Python programming- As is with any new language, an understanding of Python basics will keep you in good stead. Python programming for beginners is a ubiquitous programming language, which was developed in the early 1990s. Python programming focuses on easing the syntax by allowing the code to fit in fewer lines. Thus, working with this language is a breeze. There are two Python versions: Python 2 and Python 3. The standout features of the Python code are that it is a high-level, interactive, and object-oriented language. Python language is designed to be highly readable. It uses generic English words as compared to the use of punctuations by other languages. Moreover, the Python programming tutorial indicates fewer syntactic constructions.
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Know features of Python programming- Following are some characteristics of Python Programming for beginners −
Support for functional and structured programming methods and Object-Oriented Programming
It can be used as a scripting language or be used for designing fairly robust applications
Garbage collection is automated
Integration with other languages such as C, C++, CORBA, ActiveX, and Java is fairly straightforward
Know about applications of Python programming for beginners- As mentioned before, Python programming is widely used over the web. Following are some key applications and benefits:
Readability − Python code is clearly defined and visible to the eyes
Better Learning Curve − Python has only a few keywords, a straightforward structure, and an uncomplicated syntax. This allows students to learn the language quickly
Broad OS support − The bulk of the Python library is portable and cross-platform compatible with Windows, UNIX, and Mac
Interactive Modes − All Python programming tutorials benefit from a built-in interactive mode that allows interactive testing and debugging of code snippets
Easy-to-maintain − Python's source code is relatively easy-to-maintain
Portable − Python runs on a variety of hardware platforms while maintaining interface uniformity
Science & Numeric Applications: Packages such as SciPy, IPython, and Pandas enable Python to make a place for itself in the scientific community
Businesses - ERP and E-commerce systems benefit from Python’s suitability for these environments. Examples include Odoo and Tryton
AI & ML - Python’s strategic libraries lend it a head-start in this arena. These include Caffee, Kera, TensorFlow, NLTK, Pandas, and Accord.NET to name a few
Prototypes - Owing to its simple syntax, companies utilize Python programming at the Prototyping stage for apps and projects
Education - Its widespread access makes Python an excellent choice of language to be taught in schools as well as learned by an individual with minimal infrastructure
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Steps for Beginners to Learn Python Programming
Code Everyday: Consistency is key in adopting a new language and Python programming is no different. It is recommended to earmark time for coding every day. It may not be straightforward to believe, but muscle memory plays a significant role in programming. Committing to coding every day will drive that muscle memory to your advantage. Although it may seem like an uphill task, consider starting with 20 minutes every day and working your way up from there.
Write It Out: As you progress on your journey with a Python tutorial, taking notes will enhance your familiarity with the language. To support this statement, many researchers confirm the benefits of hand-written notes for strategic retention. In addition, this technique will pay rich dividends in your journey towards becoming a successful coder, as many job interactions will entail that the same be written on paper. Moreover, once you commence work on projects and programs, writing by hand will develop into a vital tool at the planning stage before you move to the computer. The Python code can save a lot of time if the requisite functions and classes are written first, as well as knowing how they would interact.
Take Breaks: Taking a parallel cue from physical exercise, muscles build not during the workout but in the break that ensues. Much like that, when you are learning, it is important to step aside and let the concepts sink in. Learning Python will work best if you work for 20 minutes, followed by a pause, and then repeat the cycle. This routine will improve the absorption of new information many folds. Moreover, breaks are a vital element during debugging. If you encounter a bug and can’t quite get past it, give yourself a breather. Step away, go for a walk, or converse with a friend. In programming, the code must follow the syntactical rules of a language and logic exactly. Fresh eyes make a big difference.
Surround Yourself With Other Learners: Though Python programming may seem like an individual activity, it reaps big benefits when worked in a group. It is valuable to be in the company of like-minded people when you are learning to code in Python. Peer-to-peer learning will unearth unique results. Don’t fret if you don’t know anyone yet. There are ways to network with others who share the same passion for learning Python. There are Peer Learning Communities (aka PLCs) that bring people together with the spirit of learning. Examples include Pythonista Cafe.
Pair Program: Your Python learning experience can benefit from Pair Programming. Essentially, it is a technique that involves two programmers working at one workstation to complete a task. They switch between being the “navigator” and the “driver.” The former writes the code, while the latter contributes the priceless “second opinion” on the code as it is written. Change positions frequently to experience both sides. Pair programming has many benefits: it enables you to have someone review your code as well as discover ways to approach a problem statement. Much like other languages, Python also involves building logic to arrive at a repeatable program to solve a problem. Being exposed to different approaches will help you keep an open mind in problem-solving when you get back to coding on your own.
Build Something: Successful Python programming tutorials incorporate numerous real-world practical situations that will assist you in becoming confident with the ecosystem, as well as hone the muscle memory mentioned in the previous point. Ensure that you have a deep-rooted conceptual clarity of the first principles of basic data structures such as lists, strings, dictionaries, sets, object-oriented programming, and writing classes before you begin to build!
Career Opportunities in Python Language
A question that a lot of people have in their minds is what are the job opportunities available after completing the python programming for beginners. Here’s a list of the career opportunities that you can pursue after completing the Python language course.
1. Python Developer - An apt Python programming tutorial can lead you to the most evident job out there for someone well-versed with the Python programming language.
A Python developer is expected to:
Problem-solve using data analytics
Design code into websites
Streamline data algorithms
Integrating data protection & security into the delivered products
Writing scalable code that is both testable as well as conforms to the logical outliers
Python programmers remain in demand across a wide array of companies. Learn Python today, and in due course, you could have your foot in the door as a Python developer at Zomato and MakeMyTrip, to name a few firms.
2. Product Manager - Product managers are essentially the CEO of their products. Typically, they have a functionally diverse team working on exploring novel user experiences, conducting extensive primary research to find supply-demand gaps, thereby making a case for new product development. Of late, Python programming tutorials are garnering interest from the management owing to the ever-increasing role of data for organizational decisions. The Python language adds value to a Product Manager’s work portfolio by saving reporting and analysis time. This makes you a little less dependent on your data-science team while accessing the analytics data yourself. If you’re looking for a career that requires talking with users and crunching data, becoming a product manager will be a good choice. Sprinklr and Uber are just a few companies hiring Product Managers with Python certification.
3. Data Analyst - If the idea of finding meaning in large amounts of data appeals to you, a career as a Data Analyst should be looked into. Many Management Consulting firms have a dedicated organizational structure devoted to Data Science. You will be expected to sift through large sets of data — and a popular way to accomplish that is using Python libraries such as Pandas and SciPy. Python programming unlocks great synergies when applied to machine learning, so it’s no surprise organizations like McKinsey and Deloitte are looking for Data Analysts with Python experience on their resumes.
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4. Educator- Establishing one’s own Python programming tutorial Point in the digital space could be a profitable venture, given the language’s growing interest among budding professionals. Thus, learning Python from the beginning would attract teaching roles in colleges and universities.
5. Financial Advisors - In just the past 2 years, banking businesses have begun investing resources to train their banking associates to learn Python. The rationale is the versatility of the Python programming language which can lead to better revenue figures for the bank.
Following suite, Business schools have responded by incorporating Python programming tutorials to their MBA students. From initial feedback, a significant quantum of Finance students are taking a liking to learning Python.
6. Data Journalist - When journalism is aided by strong statistical evidence, it creates a whole new paradigm shift to the stories being narrated. This is a specialty within journalism that uses data to articulate stories. Like in other job roles, journalists with a stronghold of Python basics are in demand because of their ability to rapidly sort through information. Tables, graphics, and other aided infographics lend a strong visualization element to the news.
Examples include cybercrime reporting, political primary & secondary research stories.
Python projects suitable for beginners
How you build the logic with the syntax in place is more important than what you build. The journey of creating is truly what will enlighten you the most. You can only grasp a limited amount from reading Python courses. Most of your learning will come from putting Python to use. Problem-solving will be an effective coach while giving you a real sense of accomplishment. There are many Python projects suitable for beginners. Here are some ideas:
Number guessing game
YouTube video downloader
Dice roll simulator
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Frequently Asked Question (FAQs) - A Beginner's Guide to Pursue Python Programming
Question: How difficult is it to learn Python?
Python video tutorials are an effective way to learn the language. Anyone can understand Python easily, and usually, its code is much more concise as compared to other languages.
Question: Can Python be learned without programming experience?
Python Programming is simply based on logic. If you have a great sense of logic, you can start with any language, along with .Net, Java, C++ to name a few. When it comes to code readability, PYTHON is one of the easiest languages as it utilizes fewer lines of code. You can easily start on the pretext of basic know-how of English and mathematics.
Question: Can Python be learned for free?
Yes, the following 5 sources are free and reliable:
Google’s Python Class
Microsoft’s free Python course
Question: How long does it take to master Python Programming?
You will need approximately 8 weeks on average to master python programming. However, time also depends on the basic programming language that you know and the amount of time you devote to learning the language.
Question: Can I get better job opportunities after learning Python Programming?
Getting a certification in Python programming is worth your time and efforts if you want to surge ahead in your career. Completing the course will open doors to better job opportunities and high salaries as you will have expertise in machine learning, data visualisation, and analysis.
Question: How difficult is Python Programming?
The programming language is quite easy to learn. The code is easily readable as well as the syntax is quite easy.
Question: Are there free online Python courses available?
Yes, you can opt for a free Python course by Microsoft. In addition, there is also a free course on Edx that you can pursue.
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