How Long Does It Take to Learn Python and Get a Job?

The use of Python, a general-purpose, versatile, and easy yet powerful programming language, is on the rise today. This fastest-growing open-source language enables developers to code simple to complex programs, build data-heavy powerful software, and sites, and more adding a ‘wow’ factor. Both newbies and fast-trackers prefer Python to master coding and get a freakin’ job – it comes with a shallow learning curve and doesn’t require you to break the bank to become a coding whiz. 

But how long does it take to learn Python to get a job? Though there is no magic bullet answer, we have unpacked everything essential you should know to jump-start your Python knowledge and hone your coding skill.

What is Python?

Python is an object-oriented (OOP), high-level, and interpreted open-source coding language designed and released by Guido van Rossum as Python 0.9.0. 

The inbuilt data structures incorporated with the unit testing framework, dynamic binding, dynamic typing, and top-notch process integration capabilities make Python the pick of software developers working on the RAD model. You can even use it as a script or glue code language to interlink two existent software components. 

The extensive array of modules coming with this most popular coding language promotes program modularity, enables code reusability, and minimizes duplication. 

Programmers can use Python for a variety of tasks, including:

• Web application and software development
• Statistical and predictive analytics
• You can program your Raspberry Pi board with Python – it enables you to program the hardware itself, display external devices and LEDs, interact with I/O pins, etc.
• Numerical analysis, Data Science, and Data visualization
• Writing Machine Learning applications.
• Task automation, for instance, DevOps
• Scripting and more

Jobs for Python Experts

Learning programming, especially Python, really pays off by opening up new windows of opportunities in the job. As a Python expert, you can work as a:

• ML engineer 
• Full-stack developer
• Python developer
• Data analyst 
• Automation engineer
• Data engineer 
• Data scientist
• Quality assurance/QA engineer
• Backend developer
• Front-end Developer and the list goes on.

Why Is Python So Popular?

Python rounded out the most popular coding languages in 2021, having a 48.24% share of respondents, followed by SQL (47.08%) and Java (35.35%). But why is the use of Python booming so much? Let’s dive deeper:

• Python is the most straightforward coding tool to start out with. Whether you are a newbie with no prior programming knowledge or a qualified coder striving to gain a competitive edge to ace your job interview, Python suits coders of all levels. The readable and uncomplicated elementary Python syntax makes coding faster while emphasizing natural language and offers a more streamlined programming experience. And it’s even possible to learn Python on your own. Though Python can become a little complicated having a spectrum of modules to master and cipher through, its primary concepts are effortless to wrap your mind around. It really reduces the workload on your head as you dig deeper into large-scale and more intricate projects.
• The interpreted nature of Python makes it effortless for developers to test their custom code snippets and run them on various platforms. Plus, it’s compatible with almost all leading OSs, including Unix, Windows, Apple, Linux, Raspberry Pi, etc. – you can write in Python universally in a whole host of applications. 
• Being a high-level coding language, Python suits beginners better than any other language – they can invest more time in nailing coding rather than thinking about how to code.
• Python also has a wide array of libraries to enable coders to streamline the programming process, especially the initial development stages, with ease. It has NumPy to manage operations on multi-dimensional arrays; SciPy to solve mathematical and scientific problems; Matplotlib, to enable data visualization by allowing easy plotting of graphs, etc. Just call commands from a library into your program, and run it. 
• To reiterate, Python is open-source. It means that the free Python resources and module lists are ever-mushrooming. Further, being around for more than 31 years, Python has formed a big community of experts you can seek help from when essential. Writing clean, logical codes and tuning them up for performance optimization using standard and external libraries has never been this easy. 

Must-have Python Skills For Jobs

Getting the hang of Python only is not sufficient to get a job. The truth is that all coding positions demand the same fundamental skills, but to land a job, you require more and must excel in other technologies too. 

However, the must-have Python skills to get a job include:

• Familiarity with ORM libraries (Object-relational mappers), for instance, Django ORM, SQLAlchemy, etc.
• Know the ins and outs of RESTful APIs.
• Fundamental understanding of CSS/front-end technologies (HTML5, JavaScript, and CSS3)
• Core Python knowledge – learn Python 2 and 3.
• Familiarity with source control/version control with GitHub or Git
• Web frameworks – Python projects, whether small or large-scale, are accomplished within frameworks. Django is an open-source and free-of-cost python-based framework that perfectionists rely on.
• Knowledge of neural network architecture, deep learning, ML, and AI
• Have outstanding communication skills.

How Long Does It Take to Learn Python to Get a Job?

How much time you would need to learn Python to get a job is a variable of the following factors:

• Previous Coding Expertise: If you are into software designing and development, knowing other coding languages like Java, C, and C++, you can promptly pick up and comprehend the fundamentals of Python. If you are starting out with Python, you may find it a little challenging to get along with it.
• Learning Method: Well-structured and thought-out courses, both online and offline, in line with your targets can speed up your Python learning process.
• Time Dedicated to Learning: How much time can you invest in apprehending Python and honing your skills? The more time you can spend on it, the faster you can master it. 

First off, understand that Python is a coding tool with a swarm of branches, and you may require a lifetime to master them all!

A beginner may need to put in around 4 hours a day for 6-8 weeks to comprehend the Python basics – variables, loops, syntax, data types, data structures, statements, conditions, etc. 

However, becoming a Python whiz and getting into data science requires months to years of constant practice. 

Again, you will understand the use cases of Python while applying it to solve specific problems. For instance, as a marketer required to analyze data extracted from Google Analytics, mastering basic Python syntax is adequate. While it will not help you become a data scientist or Python Developer, such knowledge would go fine to help you get your marketing work done.
Remember, learning Python and getting a job through it are two different things. Besides knowing the coding language, you must be an excellent networker and have good job searching, problem-solving, and teamwork skills to get a Python job.