A Detailed Guide on Entry-Level Python Jobs 2024

Do you want to know about entry-level Python jobs and kickstart your tech career? Then explore and find beginner-friendly positions in software development, data analysis, and more with opportunities for growth and learning.

Looking to embark on a career in the dynamic world of tech? Entry-level Python jobs offer an incredible starting point. From software development to data analysis, these roles provide a gateway to the tech industry, welcoming beginners with ample opportunities for growth and skill development.

Table of Contents

What Are Entry-Level Python Jobs?

Entry-level Python roles span across diverse industries owing to Python’s versatility. Typically, you’ll be tasked with programming software, coding, and crafting web applications. Your primary responsibilities involve leveraging Python for data analysis, sourcing, and development. You’ll engineer efficient data processing methods, troubleshoot systems, and contribute to enhancements under the guidance of senior programmers. This role offers a valuable learning ground to refine your skills while assisting in system improvements.

What Are the Qualifications to Get an Entry-Level Python Job?

While entry-level Python roles often seek candidates with a bachelor’s degree in computer science or a related field, they prioritize certain skills. Essential requisites include fundamental Python knowledge, proficiency in class-based object-oriented programming, and software coding abilities. Familiarity with Flask, JavaScript, REST, and SQL is also beneficial. A grasp of standard web technologies, like the client/server model and HTTP, is necessary. Strong analytical problem-solving and communication skills, adaptability, a rapid learning pace, and a proactive approach to staying updated with the latest advancements in the field are highly valued qualifications.

Who is a Python developer?

A Python Developer is a skilled member of a software team, specializing in creating, designing, and delivering computer applications using Python. Their role involves identifying and rectifying errors (debugging) in Python-based projects.

Python, known for its beginner-friendly nature, empowers developers to engage in diverse tasks:

– Web Development

– Scripting Design

– Constructing Web Frameworks

– Automation Deployment Services

– Data Analysis

– Internet Scraping

Python developers leverage the simplicity and flexibility of the language to achieve various objectives. This article aims to guide you on the path to becoming a proficient Python developer.

How to Become a Python Developer

Becoming a Python Developer doesn’t require a specific background or prior experience; it hinges on acquiring a distinct set of skills, especially mastering the Python programming language.

Python stands out for Developers due to its advantageous features. Its straightforward syntax and readability contribute to a quicker learning curve, enabling swift skill enhancement. Additionally, Python’s popularity is on the rise among programming languages, evident from its increasing Stack Overflow question views in World Bank high-income countries.

Becoming a Python Developer in Three Steps:

1. Learn to Read and Write in Python

Python, known for its simplicity and user-friendly nature, is an ideal programming language for beginners. Engaging in a Python Programming course, online tutorial, or coding bootcamp can swiftly equip you with the skills to comprehend and compose code, transforming you into a proficient Python programmer in no time.

Recognized as a versatile and widely embraced language, Python holds the status of being an ideal introductory language for novices. Its concise and easily understandable syntax makes it accessible even to individuals unfamiliar with coding or computer science. The language’s extensive usability, spanning from web development to scientific applications, renders it a vital asset for any programmer’s toolkit.

Notably, Python stands as a cornerstone for Back-End Developers, Data Scientists, and Machine Learning Engineers due to its broad application spectrum. Even with foundational knowledge, Python skills can significantly augment various job roles.

Given its straightforward nature, certain courses promise to shape you into a Python professional within a concise timeframe, some guaranteeing proficiency in just 25 hours. For instance, BrainStation offers a part-time online Python Programming Course.

Why Learn Python?

– Versatile and widely adopted programming language

– Concise and accessible, even for coding novices

– Applied across web and software development to scientific realms

– Highly utilized by Back-End Developers, Data Scientists, and Machine Learning Engineers

2. Work on Projects With Python to Develop Your Skills

An effective method to advance your expertise in Python programming is by immersing yourself in Python-based projects. Delving into hands-on projects not only hones your skills but also equips you to tackle future challenges confidently.

Here are a few project ideas to kickstart your Python journey:

Website Creation: Utilize frameworks like Django or Flask to materialize a website from your conceptualization. This hands-on experience will provide invaluable insights into Python’s application in web development.

Game Development: Surprisingly, Python offers an array of libraries such as Pyglet, Panda3D, and Pygame that facilitate game creation. Crafting a game using these libraries not only enhances your coding abilities but also offers a fun way to experiment with Python.

Web Service Building: Practice building web services using frameworks like Falcon or Flask. Constructing a web service enables practical learning and familiarity with Python’s functionality in this domain.

Data Collection from the Internet: Python boasts remarkable libraries that simplify data fetching from the web. Engaging in data collection projects not only enhances your Python skills but also exposes you to real-world data acquisition scenarios.

These hands-on ventures serve as invaluable learning experiences, augmenting your Python proficiency while allowing room for creative exploration.

3. Develop a Portfolio of Projects Completed With Python

As you advance your proficiency in Python programming, establishing a portfolio of Python-centric projects becomes crucial to exhibit your expertise. This portfolio should encompass tasks involving data manipulation, visualization like graphs and bar charts, and other data import/export operations.

Here are four effective strategies for crafting a Python portfolio:

1. Undertake Diverse Projects: Engage in projects like file organization, digital collection management, or neural network training to diversify your portfolio and showcase versatile skills.

2. Visualize Data: Incorporate visualizations such as graphs and bar charts to present your projects effectively, highlighting your proficiency in data visualization.

3. Utilize Portfolio Platforms: Utilize platforms like Github to display and share your Python projects, making them easily accessible to potential employers and fellow developers.

4. Enroll in a Python Course: Enroll in a Python programming course that includes coursework and final projects to enhance your portfolio. This not only refines your Python skills but also adds certified credibility to your profile, potentially boosting your prospects in the job market.

For those currently not employed, utilize this time to brainstorm project ideas that can be executed and showcased on platforms like GitHub. Whether it’s organizing files, managing digital collections, or exploring neural networks, these projects will serve as evidence of your practical Python abilities.

Consider enrolling in a Python programming course supervised by industry professionals. This offers structured learning, strengthens your portfolio, and provides certified validation, potentially influencing a more lucrative Python Developer position.

What Is Python Programming Used For?

Python stands apart from HTML, CSS, and JavaScript, the fundamental elements driving the internet. Unlike these, Python is a versatile programming language with applications beyond web development. Its usage extends to software development, scripting, and notably, the burgeoning field of data science.

Conceived by Guido van Rossum in 1991, Python aimed to streamline code writing with clarity and logic, leading to its widespread popularity. As per BrainStation’s 2020 Digital Skills Survey, Python is embraced by 25.4 percent of Developers, a figure steadily climbing. This growth emphasizes its significance in contemporary programming landscapes.

Python 2.0 ushered in a new era for the language in the early 2000s, modernizing its structure while preserving its foundational elements. At its core, Python maintains its object-oriented approach, making it a preferred choice for projects of varying scales, from expansive endeavors to smaller applications.

The Python Package Index showcases an extensive array of third-party modules available for Python, demonstrating its versatility and wide-ranging capabilities.

Python finds application across diverse domains, including web and Internet development, leveraging frameworks like Django and Pyramid. Its utility extends to scientific and numeric computing, programming education at introductory and advanced levels, software development, data science, machine learning, and the creation of eCommerce platforms.

Is Python Programming a Growing Field?

Absolutely, the appeal and need for Python programming, along with the demand for skilled Python Developers, persistently rise. An approximate count shows an excess of 40,000 vacancies seeking professionals equipped with Python programming expertise and hands-on experience.

This surge in demand owes much to Python’s intrinsic popularity. Reflected in the TIOBE Programming Community index, a global tracker of programming language popularity, Python presently holds the position as the third most favored programming language and stands out as one of the swiftest-growing languages in the field.

According to an independent survey, the Python programming language stands as the top choice among Data Scientists worldwide.

Demonstrating Python’s widespread appeal, a notable 41 major global organizations swiftly transitioned to adopting Python as their primary programming language. Among these significant companies are Quora, Facebook, YouTube, Netflix, Dropbox, Pinterest, and Reddit, with a majority of their recent code developments centered around Python. Additionally, Google has pledged to incorporate Python more extensively into its upcoming product releases.

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Who Is a Python Developer?

A Python Developer is someone who utilizes the Python programming language to craft, code, and troubleshoot applications and various projects. Given the language’s adaptability, a Python Developer’s scope often encompasses diverse tasks, including data analysis, automation, web design and development, scripting, and more.

Responsibilities of a Python Developer:

– Designing, coding, and debugging applications and projects

– Conducting data collection and analytics

– Automating processes and scripting

– Engaging in web development and design

– Crafting and implementing applications

– Formulating database schemas to align with business procedures

– Integrating front-end elements with back-end logic on servers

It’s important to note that a Developer relying on Python doesn’t exclusively define them as a “Python Developer.” Throughout a Python Developer’s career trajectory, they might hold various job titles such as Web Developer, Software Engineer, Data Analyst, and more.

Within these roles, a Python-savvy professional could create applications, architect code frameworks, develop essential tools, design websites, or introduce novel services as part of their responsibilities.

As with many programming roles, the particulars of this position hinge on the requirements of the employer. Certain Python Developers operate as freelancers, offering their expertise to multiple entities rather than being tied to a single company.

Python Developers might shoulder a spectrum of responsibilities, such as crafting and executing high-availability, low-latency, and high-performance applications. They also design database schemas that accurately mirror and bolster business operations, while seamlessly merging user-centric features crafted by Front-End Developers with the underlying server-side logic.

What Is the Salary of a Python Developer?

As per Glassdoor data, the mean national salary for a Python Developer in the United States stands at $76,526, with income levels spanning from $58,000 to $107,000.

How Do I Become a Python Developer With No Experience?

Becoming a Python Developer without prior experience is feasible, but it necessitates acquiring and showcasing the requisite skills. To embark on this path:

1. Acquire foundational Python knowledge encompassing programming, libraries, frameworks, and ORM libraries.

2. Engage in freelance Python development to construct a portfolio.

3. Contribute to open source projects hosted on platforms like Github.

4. Initiate a blog to document your Python projects and learning journey.

Commencing your career as a freelance Python Developer serves as another avenue to enter the field without experience. This approach enables portfolio building and facilitates networking within the industry, potentially leading to job opportunities.

An alternative approach involves contributing to open-source projects. Exploring repositories on GitHub and actively participating in associated projects showcases your collaborative skills and your ability to enhance existing work.

Additionally, launching a blog can significantly bolster your credibility and visibility. Documenting your Python Developer journey, ongoing projects, and the resources you utilize for knowledge acquisition provides recruiters with insights into your coding style.

Now, delving deeper, let’s examine fundamental skills necessary to develop as a Python Developer:

Mastering the Python programming language is a foundational requirement for aspiring Python Developers.

Initial learning entails grasping essential Python concepts, including:

– Object-oriented programming

– Basic Python syntax

– Semantics

– Primitive data types

– Arithmetic operators

Python, designed for readability and influenced by both English language constructs and mathematical principles, offers a user-friendly interface.

Python’s extensive collection of libraries, owing to its open-source community, serves as invaluable resources, streamlining tasks for Python Developers. Familiarity with various libraries, such as Pandas and NumPy, proves beneficial, although specific project needs may vary.

The Python Package Index (PyPI) stands as a comprehensive repository housing software tailored for the Python programming language.

Proficiency in Python Frameworks is a requisite skillset for Python Developers, although framework preferences align with project requirements. Notable frameworks like Django, Flask, and CherryPy serve as common choices in the domain.

While many Python Frameworks primarily function as server-side technologies, an emerging trend integrates AJAX code into certain Web frameworks, aiding Developers in client-side browser programming complexities.

Moreover, understanding Object Relational Mapper (ORM) libraries like SQLAlchemy or Django ORM significantly aids Python Developers. ORM libraries abstract relational database operations, enabling developers to use Python code instead of SQL, facilitating the creation, updating, retrieval, and deletion of data and schemas in their database systems.

What Tools Do Python Developers Use?

Given Python’s versatility and extensive applications, the optimal tools for Python Developers can be categorized into several segments:

Data science Python tools

Scikit-Learn stands as an open-source tool highly endorsed by Python Developers, Machine Learning Engineers, and Data Scientists for data mining and analysis. Keras, a high-level neural network library written in Python, earns praise for its user-friendly nature and compatibility with machine learning and deep learning tasks. Theano, a Python library, efficiently evaluates mathematical computations and seamlessly integrates with NumPy. Meanwhile, SciPy finds its niche in technical and scientific computing applications.

Automation testing Python tools

Selenium earns its acclaim for enabling Python Developers to script in various languages like C#, PHP, Perl, Ruby, and Java. It facilitates testing across all major operating systems and browsers—a notable advantage. Robot Framework, an open-source automation framework, is tailored for acceptance testing, extending its functionality beyond web applications to include iOS and Android test automation. Similarly, TestComplete operates as an automation testing software, although it necessitates a commercial license for use.

Web scraping Python tools

LXML serves as a comprehensive Python-based tool interacting with C libraries, offering an array of features. Beautiful Soup, a Python library, proves invaluable for tasks such as screen-scraping, saving time in project development. Meanwhile, Scrapy, an open-source Python framework, specializes in web page crawling and data extraction from diverse sources.

What Skills Does a Python Developer Need?

While the exact duties might differ, here are some fundamental skills required to embark on a Python Developer’s path:

Python skills

A Python Developer’s expertise in Python surpasses that of peers in data science, web development, or related fields, where some familiarity with the language is expected. Mastery in object-oriented programming, essential Python syntax, semantics, primitive data types, and arithmetic operators is imperative for a Python Developer.

Python libraries

Python’s immense library ecosystem stands as a major draw. A proficient Python Developer leverages this wealth of libraries to its fullest potential. Start by delving into the Python Package Index (PyPi) and acquaint yourself with popular libraries like Pandas and NumPy to harness their capabilities to the fullest extent.

Python framework

A Python Developer should possess familiarity with various frameworks, which prove immensely beneficial based on specific tasks. These frameworks include Django, Flask, CherryPy, web2py, TurboGears, and Grok.

ORM libraries

Object Relational Mapper (ORM) libraries, such as SQLAlchemy or Django ORM, empower Python Developers to use Python code rather than SQL for managing and modifying data and schemas within their databases.

What Jobs Can You Get With Python?

Professionals specializing in Python may assume various job titles, such as Python Developer, Data Scientist, or Machine Learning Engineer. The specific tasks hinge on the industry, company, and scope of the role, typically involving code creation for websites, applications, data manipulation, and AI endeavors.

Python finds prominent usage in large-scale data centers and serves as a bridge language between different programming languages. Notable entities like Google, NASA, Industrial Light & Magic, and id Software favor Python due to its versatility and scalability. Game Developers often employ Python as a connector between C/C++ modules or in conjunction with PyGame for game development. Furthermore, scientists and statisticians heavily rely on Python, employing tools like SciPy and Pandas for their work.

Across diverse industries, jobs requiring Python programming skills are associated with competitive remuneration, reflecting the scarcity of Python talent sought by employers.

StackOverflow’s Developer Survey consistently highlighted Python’s high demand in 2018, 2019, and 2020. As of 2020, it holds the position as the world’s fourth most popular programming language among professional Software Developers and ranks as the most sought-after programming language.

Web Developer

Web Developers often specialize in either “front-end” (working on the client-side) or “back-end” (managing the server-side) development. The highly coveted professionals known as “Full-Stack Developers” adeptly handle both aspects.

Beyond managing layouts and server-related tasks, Web Developers maintain websites by incorporating fresh updates and new content. Their role typically involves collaboration, necessitating communication with management and fellow programmers to guarantee the website’s intended appearance and functionality.

Python Developer

Python Developers commonly operate on the server side, where they craft logic and build platforms. Their responsibilities often encompass deploying applications and collaborating with development and design teams to create websites or applications aligned with user requirements.

Moreover, Python Developers assist Front-End Developers by seamlessly integrating their work with the Python application.

Software Engineer

Software Engineers, much like Developers, handle the writing, testing, and deployment of code. In this role, you’ll be tasked with integrating applications, debugging programs, and enhancing and upholding software functionality.

Day-to-day activities for Software Engineers typically revolve around ensuring the smooth operation of active programs, updating and troubleshooting existing programs, and crafting new ones. They write code for diverse technologies and platforms, spanning from smart home devices to virtual assistants.

Data Analyst

Data analysts gather, arrange, and interpret data to generate actionable insights. This involves sifting through substantial data volumes and compiling crucial data sets aligned with the organization’s specified metrics or objectives.

Utilizing Python libraries, a Data Analyst conducts data analysis, parses information, scrutinizes datasets, and generates visual representations to effectively convey findings beneficial to the organization’s goals.

Data Scientist

Data Scientists possess an intricate skill set that surpasses that of Data Analysts, blending computer science, mathematics, statistics, and modeling expertise with a profound comprehension of their business and industry. This amalgamation enables them to uncover fresh opportunities and devise innovative strategies.

Their role extends beyond data analysis; Data Scientists frequently engage in machine learning, crafting statistical models, and architecting data structures tailored for organizational needs.

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Machine Learning Engineer

For those seeking to expand beyond data analysis, delving into machine learning—a facet of both data science and artificial intelligence—might be the next step. Machine Learning Engineers conduct statistical analysis and put into action machine learning algorithms applicable within AI frameworks.

Their duties extend to translating theoretical data science models into scalable production-level models capable of handling vast volumes of real-time data, spanning terabytes in size.

Conclusion on Entry-Level Python Jobs

In the world of tech, entry-level Python positions offer a gateway to a dynamic career landscape. These roles pave the way for aspiring professionals to dive into the realm of programming, leveraging Python’s versatility and demand across various industries. Whether in software development, data analysis, or web development, entry-level Python jobs serve as stepping stones toward a promising future in the ever-evolving tech sphere. Join us at the forefront of innovation—explore our entry-level Python opportunities and kickstart your journey toward a rewarding and impactful career in technology.