<p>Today many developers use Python as the primary programming language for any development. It first arrived in the 1980s by Guido van Rossum, Python, known as ABC programming language. But today, after many improvements, Python can support many areas of development, especially tech products.</p>
<p>But we recently did research and found an interesting fact: The rising trend of Python among developers. Based on our findings, a current study from Stackoverflow states that 66.4% developers choose <a href="https://python.emveep.com/">Python</a> as their first choice on learning to code.</p>
<p>In this article we will deep dive into trends of developers using Python. Also we give you insight into what tech products can be made by Python and comparing cost between other tech stack in development.</p>
<h2>Popularity &amp; Trend is About the Beginning</h2>
<p>Every year the trend of programming languages is really fast changing the market. Now, Python nearly can tackle Javascript as the most popular programming language of the year. Why does this happen?</p>
<p>According to TIOBE Software CEO Paul Jansen, the volume of digital data today is increasing at an unprecedented rate, creating a greater demand for tech stack that can rapidly analyze and manage this data.</p>
<p>On the other hand, the rising AI trend drives many developers to use Python in AI-based tech products. According to the PYPL Index, which analyzes data from Google Trends, nearly 30% of programming language tutorial searches on Google are for Python—almost double the share of Java, the second-most searched language. This dominance highlights Python&#8217;s widespread appeal, which has also extended to its use in AI workflows.</p>
<p>This is just about the start of a new era of Python, data science, big data and AI. But how do we take advantage of this early trend as startup owners?</p>
<h2>What types of tech products can you develop with Python?</h2>
<p>As a startup, what you are looking for is a tech product opportunity that can grow profitably and in the long term. We are currently watching the growth of blockchain and web3 after trump&#8217;s victory in the US election. Based on our experience in completing many blockchain projects, we have a list of ideas that you can develop for your next project.</p>
<h3>7 Blockchain Apps to Add to Your Startup Idea</h3>
<ol>
<li style="font-weight: 400;" aria-level="1"><strong>Smart Contract Development</strong>: While languages like Solidity are commonly used for writing smart contracts on Ethereum, Python can interact with Ethereum smart contracts via libraries like web3.py. This allows Python developers to deploy and interact with smart contracts.</li>
<li style="font-weight: 400;" aria-level="1"><strong>Blockchain Frameworks</strong>
<ul>
<li style="font-weight: 400;" aria-level="2">Hyperledger Fabric: Python can be used to write applications for Hyperledger Fabric, a permissioned blockchain framework. Python SDKs can interact with the network and perform transactions.</li>
<li style="font-weight: 400;" aria-level="2">Flask/Django for Blockchain Backend: Python frameworks like Flask or Django can be used to build the backend of blockchain applications, creating APIs that interact with blockchain networks.</li>
</ul>
</li>
<li style="font-weight: 400;" aria-level="1"><strong>Cryptography</strong>: Blockchain relies heavily on cryptographic algorithms like hashing and digital signatures. Python&#8217;s hashlib and ecdsa libraries can be used to implement these cryptographic functionalities.</li>
<li style="font-weight: 400;" aria-level="1"><strong>Bitcoin and Cryptocurrency</strong>: Python is often used for building cryptocurrency applications. Libraries like pycoin or bitcoinlib allow you to create and manage Bitcoin wallets, generate keys, and process transactions.</li>
<li style="font-weight: 400;" aria-level="1"><strong>Blockchain Simulation/Development</strong>: you can use Python to simulate blockchain networks and create their own blockchains for testing purposes. Python&#8217;s simplicity makes it an ideal language for prototyping and experimenting with blockchain concepts.</li>
<li style="font-weight: 400;" aria-level="1"><strong>Decentralized Applications (DApps)</strong>: While frontend DApp development often uses JavaScript, Python can be used for backend services to manage decentralized storage, handling communication between the frontend and the blockchain.</li>
<li style="font-weight: 400;" aria-level="1"><strong>Data Analysis and Visualization</strong>: Python can be used to analyze blockchain data and visualize transaction flows using libraries like pandas, matplotlib, or plotly.</li>
</ol>
<p>As we see, the blockchain and crypto industry can make you spike on profitability growth as a startup company. One of the successful startups is telegram that we know in previous versions does not use blockchain or crypto in their platform.</p>
<p>Another idea that you can take is using Python on e-commerce app development. We see the trend of ecommerce is still rising this year and will be long term growth for your startup. Cause many startups that come into the ecommerce industry. However high fees are still challenges for many sellers, so now they are looking to build the ecommerce ecosystem themselves. We give you several of our recommendations in using Python for your next ecommerce project.</p>
<h2>Python for E-commerce App Development</h2>
<p>Python provides an array of frameworks and tools that simplify the creation of feature-rich and scalable e-commerce platforms.</p>
<h3>Popular Frameworks</h3>
<ul>
<li style="font-weight: 400;" aria-level="1">Django:
<ul>
<li style="font-weight: 400;" aria-level="2">High-level framework with built-in ORM, admin panel, and scalability.</li>
<li style="font-weight: 400;" aria-level="2">Suitable for building complex e-commerce platforms with fast deployment.</li>
<li style="font-weight: 400;" aria-level="2">Libraries like django-oscar can accelerate e-commerce-specific functionalities.</li>
</ul>
</li>
<li style="font-weight: 400;" aria-level="1">Flask:
<ul>
<li style="font-weight: 400;" aria-level="2">Lightweight and flexible.</li>
<li style="font-weight: 400;" aria-level="2">Ideal for building custom and minimalistic e-commerce solutions.</li>
<li style="font-weight: 400;" aria-level="2">Extensions like Flask-SQLAlchemy or third-party libraries make integration straightforward.</li>
</ul>
</li>
</ul>
<h3>Key Features Python Supports</h3>
<ul>
<li style="font-weight: 400;" aria-level="1">Product Management: Inventory handling, product catalogs, and search functionality using Python libraries.</li>
<li style="font-weight: 400;" aria-level="1">Payment Gateway Integration: Seamless integration with APIs like Stripe, PayPal, and Razorpay.</li>
<li style="font-weight: 400;" aria-level="1">Security: Built-in modules and middleware for preventing CSRF, XSS, and SQL injection attacks.</li>
<li style="font-weight: 400;" aria-level="1">Personalization: Machine learning libraries like scikit-learn and TensorFlow allow recommendation engines.</li>
<li style="font-weight: 400;" aria-level="1">APIs: Flask-RESTful or Django REST Framework (DRF) for building RESTful APIs to support mobile apps or third-party integrations.</li>
</ul>
<h3>Example Use Cases</h3>
<ul>
<li style="font-weight: 400;" aria-level="2">Build a product recommendation engine with Django.</li>
<li style="font-weight: 400;" aria-level="2">Integrate secure payment systems using braintree or stripe libraries.</li>
</ul>
<p>Also we found efficiency to manage the data without hassle on Python. Which is you can improve your workflow on getting the data, manage the data so it can be readable as insight for decision makers on your startup. Here are our recommendations for using Python in ERP:</p>
<h2>Python for ERP Solutions</h2>
<p>ERP systems require scalability, reliability, and flexibility. Python excels in these areas with frameworks and libraries tailored for business applications.</p>
<h3>Frameworks and Tools</h3>
<ul>
<li style="font-weight: 400;" aria-level="1">Odoo:
<ul>
<li style="font-weight: 400;" aria-level="2">Open-source ERP system built with Python.</li>
<li style="font-weight: 400;" aria-level="2">Offers a wide range of modules, including CRM, HRM, inventory, and sales management.</li>
<li style="font-weight: 400;" aria-level="2">Highly customizable to fit business-specific requirements.</li>
</ul>
</li>
<li style="font-weight: 400;" aria-level="1">Tryton:
<ul>
<li style="font-weight: 400;" aria-level="2">Modular and versatile framework for ERP development.</li>
<li style="font-weight: 400;" aria-level="2">Suitable for small to medium-sized enterprises looking for tailored ERP systems.</li>
</ul>
</li>
</ul>
<h3>Why Python for ERP?</h3>
<ul>
<li style="font-weight: 400;" aria-level="1">Data Management: Integration with databases like PostgreSQL, MySQL, and even NoSQL solutions.</li>
<li style="font-weight: 400;" aria-level="1">Modularity: Easy to add or modify modules for growing business needs.</li>
<li style="font-weight: 400;" aria-level="1">Integration: Connects with external systems such as e-commerce platforms, payment gateways, or logistics tools.</li>
<li style="font-weight: 400;" aria-level="1">Analytics and Reporting: Libraries like pandas and matplotlib for generating insightful reports.</li>
<li style="font-weight: 400;" aria-level="1">Automation: Scheduling tasks using tools like celery</li>
</ul>
<h3>Example Use Cases</h3>
<ul>
<li style="font-weight: 400;" aria-level="2">Create a custom HRM module with Odoo.</li>
<li style="font-weight: 400;" aria-level="2">Develop an analytics dashboard using Flask and dash for business intelligence.</li>
</ul>
<p>As you see, there are many opportunities that you can take advantage of Python, you can discuss your ideas or curious things about Python with us. <a href="https://www.emveep.com/contact-us/">Lets talk about Python with emveep expert</a>.</p>
<p>After the ideas, we understand in early startup or thriving startups there are budgeting on development such as tech product itself. We can help you by comparing Python with another tech stack. Here is the insight about the cost but in common use many startups. In different cases it will be different, if you have any additional requirements you can <a href="https://api.whatsapp.com/send/?phone=447937784637&amp;text&amp;type=phone_number&amp;app_absent=0">talk to us today</a>.</p>
<h2>Comparing Python with Other Tech Stacks in Terms of Cost</h2>
<h3>Development Speed</h3>
<p>Python is renowned for its simplicity and readability, allowing developers to build applications faster compared to lower-level languages like Java or C++. This speed can significantly reduce development costs, particularly for startups operating with lean budgets. However, other tech stacks like JavaScript (<a href="https://nodejs.emveep.com/">Node.js</a>) or <a href="https://ror.emveep.com/">Ruby</a> might also offer rapid development, especially when paired with robust frameworks.</p>
<h3>Developer Availability</h3>
<p>Python has a vast global community, meaning hiring Python developers is generally more affordable than hiring specialists in niche languages like Scala or Rust. However, the cost of Python developers can vary depending on location, with developers in Western countries charging higher rates compared to those in regions like Southeast Asia.</p>
<h3>Framework Ecosystem</h3>
<p>Python’s extensive libraries and frameworks, such as Django and Flask, enable quick prototyping and efficient scaling. In contrast, tech stacks like Java might require more initial setup but can be advantageous for enterprise-grade applications. The choice between Python and other stacks often hinges on the project&#8217;s complexity and future growth plans.</p>
<h3>Hosting and Infrastructure Costs</h3>
<p>Python applications are generally lightweight, especially when using modern frameworks, which can lead to lower hosting costs. However, for performance-critical systems, tech stacks like <a href="https://golang.emveep.com/">Go</a> or C++ may be more cost-efficient over time due to their optimized resource utilization.</p>
<h3>Maintenance and Updates</h3>
<p>Python’s clear syntax makes codebases easier to maintain and update, reducing long-term costs. Meanwhile, stacks like PHP might offer lower initial costs but could incur higher expenses for maintenance due to less modern development practices.</p>
<h2>Final Words</h2>
<p>If you don&#8217;t take this moment now, you cannot take back time to your fortune from before. As a startup, seeing opportunities is key to success in a competitive market. We help you gain insight into tech stack trends in this year. As you can see, Python has a bright future for your startup in building tech products for the long term. We reveal a few factors that drive fast adoption of Python such as rising AI trends and demand for process data faster and more efficiently. Furthermore, we can give you a time to discuss it together about scale up, implementation, development related with Python through our whatsapp or our email: <a href="mailto:info@emveep.com">info@emveep.com</a>. We open to discuss opportunities that you can take from Python and best practices to us.</p>


Python Development: Emerging Trends, Use Cases, and Development Costs

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