Python: When to Use and How to Learn

Python: Where to Use and How to Learn

“When to use the Python programming language?” is an underrated question, as most organizations have been performing critical tasks and processes using this language for the past two decades. As a high-level programming language that emerged popular amongst multiple developmental languages, Python has already established unprecedented success stories.

We will use these success stories are our basis for presenting to startups, business owners, and aspiring developers when to use this powerful language.

The use of Python in our daily lives seems unseen and unappreciated as it works in the back-end. When you use a simple photo editing software, an interactive game or a weather forecasting system, most users are engaged with the front-end features of the software, not on how it is built. You will never know that your fascinating user experience is brought by this simple yet powerful language. This is why for aspiring developers and startups, Full Scale is here to give you a guided development process when to use this language.

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Let’s start by talking about Python’s DEMAND.

The demand

Fierce competition fuels demand in the business world. As the market gets interested in Artificial Intelligence(AI), computer vision, etc., startup companies also get interested to grow fast and old companies to stay afloat using these niches. Python is used in many fields but let’s focus on the following:

  • Software development
    • Under this field, applications such as computer graphics, databases, embedded systems, game development, network development, web development, and many others use Python programming language.
  • Arts
    • The film industry is a major business because many people enjoy watching movies. The use of Python to streamline the production at Industrial Light & Magic (ILM) allows substantial cost savings because this simple yet powerful language was able to integrate ILM’s diverse and frequently changing systems.
  • Business
    • Automation is a critical requirement in the business sector, and Python has a good rapport with businesses such as apparel, aviation, Customer Relationship Management (CRM), E-Commerce, financial services, manufacturing, product development, and many others.
  • Education
  • Government
    • The government utilizes Python’s simple structure and clarity to develop sophisticated systems for administration (e.g. CMS), homeland security, public safety, traffic management, and urban planning infrastructure.
  • Scientific
    • Scientific endeavors became the recipients of Python’s enhanced multithreading capabilities. Fields such as Biology, Bioinformatics, Computational Chemistry, Data Visualization, Simulation, and Weather forecasting used Python’s standard libraries in collecting, parsing, and storing data from various sources.
  • Engineering
    • Automation is synonymous with Engineering, and Python paved its way in modernizing systems concerning energy efficiency, GIS and Mapping, Lighting technologies, marine and navigation, and simulation.

Newly formed companies working with the above-mentioned fields utilize Python to get a working product in minimal time and at a reduced rate. This is because Python does not require small businesses to hire a big team of experts. That is why it is the best programming language for fledgling entities.

Industry and Educational Institution’s Favorite

Guido van Rossum’s affiliation with Google, Dropbox, and many others made a great marketing impression on Python. Despite being an open-source programming software, it has been used by different industries and considered a favorite among developers. In the education sector, particularly in engineering and computer science, Python is made part of the curriculum as students learn about Artificial Intelligence (AI) and its subset — machine learning.

The easy-to-read syntax of Python is the common impression of many students on their first learning experience of the language. Python became the top choice to introduce programming in universities offering programming and computer science. It is also used as one of the primary languages for teaching programming to non-computer science majors and working professionals with no programming experience.

Statistics Don’t Lie

IEEE Spectrum gave Python a 100% ranking in its fifth annual ranking of the top programming languages in the world in July 2018. The TIOBE Index for April 2019 rated Python with an 8.166% rating and ranked 4th position for the most popular programming language. Stack Overflow’s 2019 Developer Survey shows that Python placed fourth with 41.7% as the most popular programming and scripting language.

The simple, readable, and easy-to-learn syntax of Python that reduces the cost of program maintenance is the main reason why it consistently ranks in the top five popular programming languages in the software development industry.

How to learn Python Programming?

Python is not difficult to learn because it has a steady learning curve. This is because Python is based on a coherent and understandable syntax. It allows beginners to maintain concentration in learning the concepts and paradigms of basic programming.

There are several ways on how to learn Python programming. There are known published books and references, video tutorials, and online sources. For some people, the learning duration for Python, including its application in practice, can take several days or weeks, while for others it can take several months. It all depends on your comprehension and how dedicated you are in devoting time and effort to learn the language.

Here are several tips and online resources on how to learn Python:

  • Devote time for learning – ensure a specific schedule for learning and stay committed to that schedule whether you’re a full-time student or a working professional. For a limited time, an online tutorial course will allow you to pace your learning. It helps you plan your assignments, tests, and projects related to Python learning.
  • Choose a learning medium – you can take a course in a formal classroom setting or through online tutorials formatted in several modules. The latest trends suggest that interactive learning is recommended for learning Python. The benefits of an interactive course are:
    • the chance to directly write code in your browser based on specific instructions;
    • you’ll receive regular feedback from your instructor about your written code;
    • and interactive courses build your knowledge in a streamlined method because they start simple and then it transitioned to advanced concepts.
  • Take down notes – this enables you to pause and understand every syntax and allow you to backtrack to any line of code that could be important in error tracking and in successfully compiling your program. Note-taking will also help you in long-term knowledge retention and give you an important resource you can refer to when you encounter errors or bugs.
  • Connect with other beginners – networking with other novice programmers enables you to share tips and tricks as you learn from each other. There are several ways you can connect with other learners:
    • online networking by joining chat boards and community forum;
    • join online developer groups and attend their scheduled physical meet-ups;
    • once you have joined a forum or group, ask questions from them about any issues or problems in your code and other information that will help you.
  • Start writing your programs – practice your programming skills by writing your program. Don’t be afraid to make mistakes because this is part of your learning process. Once you fully comprehend the syntax and language features of Python, you will be capable of writing simple blocks of code that are functional.

Some of the best online learning resources:

  • The Python Tutorial – This includes all the tutorial basics and is recommended for beginners who need a quick start guide.
  • Real Python – A repository of free and comprehensive Python tutorials that range from the basics to advanced topics like web development and data visualization.
  • Python for Beginners – The tutorial is concentrated for beginners and covers many in-depth concepts.
  • Python Basics – An introductory tutorial that includes exercises and also included lessons about object-oriented programming.
  • – This is an interactive tutorial and the site allows you to go through your lessons online without installing Python in your computer.

A comprehensive list of the leading online resources for beginners is available at For additional information, read Stackify: Learn Python Tutorials for more.


Early-stage commercial challenges contribute to the failure of most startups because of the lack of knowledge, resources, and experience. It also applies to aspiring developers who want to learn Python programming. Thus, it is a matter of winning or losing. The core responsibility of Full Scale is to succeed with our clients, at the same time, help aspiring developers reach their full potential.

As we examined all the practical applications work with Python, you already have a grasp of its capabilities and potential. Our team is obsessed with helping clients build their development team, not just with Python language but almost all technologies available today.

Did you know that you can hire and build a remote team of software developers by offshoring them from Full Scale? Contact us to know more about how an offshoring partnership with us can fulfill your plans to have your software development team. Our technical experts are always here to listen and provide sound solutions. In the end, you will see that your newly formed company grow its full potential.

However, with the volatility of the current economic climate, startups will succumb to the reality of huge expenses, geographic limitations, and resource scarcity. At Full Scale, we will help you build from scratch, with our continual and dedicated services, you will overcome the above-mentioned hindrances and together, we will thrive.