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7 Entry-Level Python Programmer Resume Templates with Example

By Ria · Last Updated On October 19, 2026
Resume example — page 1

This guide shows you how to build an Entry-Level Python Programmer resume that is clear, focused, and easy to review. You will learn how to organize your skills and project evidence so readers can quickly see your programming fundamentals.

Connect Python work to the steps used to build and test software. Use relevant details such as Java, C++, mathematics and statistics, NLP, deep learning, data visualization, Django, or Scala when they are supported by your experience. Show what you did, how you tested it, and what the result demonstrated.

The resume example is presented in 7 layouts. Compare the image previews, then open a format in the editor to review its section order and customize the example.

What Makes a Great Entry-Level Python Programmer Resume in 2026

A strong resume makes programming skills, education, and project evidence easy to find. Clear headings and focused bullets help readers scan your work quickly.

Use role-related terms such as Python, software development life cycle, testing, and debugging where they fit your background. Add specific project details, tools, and results, such as a dataset size or a tested application, to support each claim.

Note: Resume examples are for educational purposes only. Use only information that accurately reflects your experience and qualifications. References to real organizations do not imply affiliation or endorsement.

#1 Simple One Column Format Resume Example

A single-column page keeps the resume’s sections in one direct reading path, making career details easy to follow from top to bottom.

 
Resume example — page 1   Resume example — page 2

Why This Format Works

  • Experience bullets retain their sequence, helping reviewers follow project work over time.
  • Skills and education stay within the same scan path as documented experience.
  • A single text column gives longer project descriptions room without side-by-side competition.

Best For

  • Direct top-to-bottom resume review
  • Detailed project and experience entries
  • Several standard resume sections
  • Text-led document presentation
  • Academic and project-based histories

Resume Keywords

  • Bachelor of Science in Computer Science
  • Python programming
  • software development life cycle
  • Build and test applications through the software development life cycle
  • mathematics
  • Java
  • Written and verbal communication
  • independent learning
  • technical curiosity
  • motivation
  • natural language processing
 

#2 Simple Two Column Format Resume Example

Two columns divide resume content into parallel reading areas, a useful choice when reviewers need to scan varied sections without following one long vertical sequence.

 
Resume example — page 1   Resume example — page 2

Why This Format Works

  • Experience and education can be grouped into separate areas for quicker section-level review.
  • Skills and credentials remain distinct from longer project descriptions during scanning.
  • The two-column reading order helps reviewers move across varied resume sections efficiently.

Best For

  • Separate areas for resume sections
  • Resume content spanning projects and coursework
  • Skills and credentials among varied sections
  • Readers who scan by section category
  • Parallel organization for mixed content

#3 Plain One Column with Shaded Labels Resume Example

All resume content follows one column, a practical choice for reviewers who prefer familiar section-by-section navigation.

 
Resume example — page 1   Resume example — page 2

Why This Format Works

  • Project entries can be read in sequence, keeping development details together within each section.
  • Education and credentials remain part of one continuous resume scan.
  • Skills can be reviewed alongside other sections without switching between columns.

Best For

  • Familiar section-by-section review
  • Sequential reading of project entries
  • Education and credentials in one scan
  • Resume content needing linear navigation
  • Academic work alongside project experience
 

#4 One Column Format with Photo Right Resume Example

A photo sits to the right of the one-column resume, adding a distinct visual element while keeping the text in a single reading path.

 
Resume example — page 1   Resume example — page 2

Why This Format Works

  • Experience entries stay in a single sequence, helping reviewers follow project work clearly.
  • Skills and education share one reading path with the resume’s experience sections.
  • The portrait remains visually separate from the text about experience and qualifications.

Best For

  • A resume with a right-side portrait
  • Single-path reading preference
  • Experience details in sequence
  • Text and portrait kept distinct
  • Standard sections in one column
 

#5 Clean Two Column Sidebar Format Resume Example

The two-column layout presents resume content in paired areas, helping reviewers move between experience and supporting sections.

 
Resume example — page 1   Resume example — page 2

Why This Format Works

  • Experience and education can be grouped into separate areas for quicker section-level review.
  • Skills and credentials remain distinct from longer project descriptions during scanning.
  • Two-column reading order helps reviewers move across varied resume sections efficiently.

Best For

  • Resume sections in paired areas
  • Project work alongside academic details
  • Skills and credentials among varied content
  • Section-based scanning needs
  • Mixed content with clear reading order
 
 

#6 Two Column Format Resume Example

A two-column body creates two clear reading areas, a practical option for resumes with varied content to scan.

 
Resume example — page 1   Resume example — page 2

Why This Format Works

  • Project experience and academic details can occupy separate areas without breaking either section.
  • Distinct columns let reviewers locate skills without searching through every experience bullet.
  • Education and certifications remain visible within the wider resume structure.

Best For

  • Varied resume content in two areas
  • Project experience with academic details
  • Skills needing quick reference
  • Multiple distinct resume sections
  • Readers who scan for specific sections
 

#7 Photo Header Two Column Format Resume Example

A photo in the header pairs with a two-column resume body, giving the page a visible portrait while keeping sections in separate reading areas.

 
Resume example — page 1   Resume example — page 2

Why This Format Works

  • The two-column body gives experience and education distinct areas for section-level review.
  • Separate reading areas help reviewers find skills among project and academic details.
  • A header portrait stays apart from the resume’s written qualifications.

Best For

  • A resume with a photo header
  • Two-column section organization
  • Project and academic details together
  • Skills among several resume sections
  • Portrait and text in distinct areas
 
 
 

Why Build Your Entry-Level Python Programmer Resume with ResumeInMinutes

ResumeInMinutes lets you compare resume image previews and open an example in the editor. Use the layout as a starting point, then arrange your skills, education, and project details so the most relevant evidence is easy to scan.

  • ATS-friendly section structure
  • Clear resume section hierarchy
  • Role-relevant keyword guidance
  • Space for projects and skills
  • Image previews for comparison
  • Resume customization in the editor

Keep each bullet specific and easy to verify. Describe the task, the tools or methods used, and the result, then check that your skills and project details match the resume evidence.

 

See Also

 

Frequently Asked Questions

Are these Entry-Level Python Programmer resume layouts ATS-friendly?

The layouts use clear sections and readable headings. For better ATS matching, include relevant terms such as Python, software development life cycle, testing, Java, C++, mathematics, and statistics where your experience supports them.

What does this resume guide show?

It shows one Entry-Level Python Programmer resume example in different layouts. You can compare the image previews and open an example in the editor.

What should an Entry-Level Python Programmer resume include?

Include a focused summary, education, relevant experience or projects, technical skills, and certifications when applicable. Use concise bullets to explain your Python work, testing, tools, and results.

Which resume format works well for an Entry-Level Python Programmer?

A simple layout with standard headings and a clear section order is easy to scan. Choose a format that gives enough space to show your skills, education, and project evidence without crowding the page.

How can I show programming ability without extensive work history?

Use relevant coursework, academic or research projects, and practical exercises. Explain what you built, how you tested or debugged it, which tools you used, and what the work showed.

Should I include a photo on my resume?

Include a photo only if it is customary or expected in your country, region, or industry. For U.S. applications, a no-photo resume is generally the safer choice.

ATS Score 100%

How we calculate this score

  • Keywords: 60% of the total. AI extracts keywords from your job description. If you do not provide one, a standard job description for the title matching your resume is used. This is not a match to a specific vacancy.
  • Text-based resume: 20%. The text resume assessed here receives 100 for this part.
  • Resume quality: 20%. We start at 100 and subtract points for issues found by our resume checks, down to a minimum of zero.
  • Keyword coverage = round(100 × confirmed matches ÷ total keywords). Exact matches and supported equivalents verified by AI receive full credit; unsupported keywords receive none. Live text checks use the saved equivalents and do not request a new AI review. Without keywords, no overall ATS score is available.
  • Final score = 60% of keyword coverage + 20% of the text score + 20% of the quality score, rounded to a whole number. Without keywords, no overall ATS score is available.

What this score means

Our scores are estimates, not employer ratings. They may contain errors and do not guarantee accurate parsing, a ranking, an interview, or a job. Check your document against the employer’s requirements. You are responsible for relying on this score.

Terms and Conditions

Score weights: Keywords 60% · Text based resume 20% · Resume quality 20%

Keyword coverage: 11 of 11 (100%) · Resume quality: 100%

Resume quality 100% · Weight 20% · Issues (0)

Details
  • ✓Name present: Matias Cruz
  • ✓Email format: matias.cruz@example.com
  • ✓Phone format: (512) 555-XXXX
  • ✓Experience 1: Job title: Python Programmer, Student Research Project
  • ✓Experience 1: Company name: University Research Lab
  • ✓Experience 1: Work location: Austin, TX
  • ✓Experience 1: Employment dates: Jan 2026 - Present
  • ✓Experience 1: Description or achievements: Present
  • ✓Experience 2: Job title: Python Programmer, Course Project
  • ✓Experience 2: Company name: University Project
  • ✓Experience 2: Work location: San Marcos, TX
  • ✓Experience 2: Employment dates: Aug 2025 - Dec 2025
  • ✓Experience 2: Description or achievements: Present
  • ✓Experience 3: Job title: Programmer, Academic Project
  • ✓Experience 3: Company name: Student Software Lab
  • ✓Experience 3: Work location: San Marcos, TX
  • ✓Experience 3: Employment dates: Sep 2024 - May 2025
  • ✓Experience 3: Description or achievements: Present
  • ✓No placeholder fields
  • ✓No repeated achievement bullets
  • ✓No empty bullets

No issues found by the current checks.

Text Based Resume 100% · Weight 20%

Parsed text
Matias Cruz
(512) 555-XXXX
matias.cruz@example.com
matiascruz
Austin, TX 78704
SUMMARY
Early-career Python Programmer and 2025 computer science graduate with nearly two years of academic and project-based programming practice. Build and test applications through the software development life cycle, drawing on mathematics and statistics to assess data and model behavior. Apply Python, Java, C++, and Core Java fundamentals in research and course projects, including natural language processing, deep learning, data visualization, Django, and Scala. Share findings through clear reports and presentations, investigate model errors through independent learning, and bring motivation and technical curiosity to entry-level software development.
EDUCATION
Bachelor of Science in Computer Science, Minor in Applied Mathematics
2025
Texas State University
GPA: 3.8
San Marcos, TX
Coursework: Statistics, Probability, Linear Algebra, Object-Oriented Programming, Software Development, Data Structures
TECHNICAL SKILLS
Programming Languages: Python, Java, C++, Scala
Web Frameworks: Django, Flask, FastAPI
Python Data Libraries: NumPy, pandas, scikit-learn
Deep Learning Libraries: TensorFlow, PyTorch, Keras
Natural Language Processing: NLTK, spaCy, Transformers
Visualization Tools: Matplotlib, Seaborn, Plotly
Testing Tools: pytest, unittest, JUnit
Development Environments: Visual Studio Code, PyCharm, Jupyter Notebook
Version Control: Git, GitHub, GitLab
Relational Databases: SQLite, PostgreSQL, MySQL
SKILLS
Python programming
Software development life cycle
Software testing
Java programming
Core Java
C++ programming
Statistics
Applied mathematics
Natural language processing
Deep learning
Data visualization
Django development
Scala programming
Technical documentation
Written and verbal communication
EXPERIENCE
Python Programmer, Student Research Project
Jan 2026 - Present
University Research Lab
Austin, TX
Built a Python NLP prototype to categorize a research set of 6,400 public product reviews, using text cleaning and a deep learning model to compare classification results against a simple baseline.
Organized model experiments into repeatable development and testing steps, documented data limitations, and presented evaluation findings with visualizations for a faculty review.
Used independent study and technical reading to investigate model errors, then revised preprocessing and recorded the effect of each change in project notes.
Python Programmer, Course Project
Aug 2025 - Dec 2025
University Project
San Marcos, TX
Created a Django web application that let classmates submit sample text and view categorized results, connecting Python application logic with a straightforward user interface.
Applied software development life cycle practices across requirements, implementation, test cases, debugging, and written documentation, delivering a working demonstration to the course group.
Used data visualization to explain test outcomes and communicated design decisions in a concise report and oral presentation.
Programmer, Academic Project
Sep 2024 - May 2025
Student Software Lab
San Marcos, TX
Developed small programming assignments in Java, Core Java, and C++ over two semesters, practicing object-oriented design, debugging, and clear code documentation.
Applied statistics, probability, and linear algebra concepts in Python exercises that summarized sample data and checked calculations against expected results.
Built a Scala data-processing exercise as an independent extension, then compared its output with a Python implementation and presented the findings to classmates.
LEADERSHIP, AWARDS & RECOGNITION
Facilitated a peer study group for computer science coursework during 2024-2025, helping classmates review programming concepts and work through challenging assignments.
Assisted with campus programming fundamentals workshops in 2025, contributing to introductory learning sessions for student participants.
Named to the Dean's List at Texas State University for Fall 2024 and Spring 2025.
Received faculty recognition at the 2025 Student Project Showcase for clear technical presentation.
CERTIFICATIONS
Python for Everybody Specialization, Coursera
2024
Natural Language Processing Specialization, Coursera
2026
PROFESSIONAL AFFILIATIONS
Student member, Association for Computing Machinery (ACM), participating in a professional community for computing students.
Student member, IEEE Computer Society, connecting with an organized community focused on computing and software development.

Matched keywords (11)

  • Bachelor of Science in Computer ScienceOriginal keyword in JD: Bachelor's OR Master's in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, Information Technology, or Mathematics
  • Python programming
  • software development life cycle
  • Build and test applications through the software development life cycleOriginal keyword in JD: Software development and testing
  • mathematicsOriginal keyword in JD: Mathematics OR Statistics background
  • JavaOriginal keyword in JD: Java OR C++ OR Core Java
  • Written and verbal communication
  • independent learning
  • technical curiosity
  • motivation
  • natural language processingOriginal keyword in JD: Natural language processing (NLP) OR deep learning OR data visualization OR Scala OR Django

Missing keywords (0)

No missing keywords.

Disclaimer: All names, images, contact information, employment histories, achievements, security clearances, military credentials, and other qualifications shown in this content are fictional and used for illustrative purposes only. Any resemblance to actual persons, living or deceased, is purely coincidental.

Resume and cover-letter examples and recommendations in this article reflect general best practices and professional experience and are provided for guidance only. Results may vary based on role, industry, region, and hiring organization.

Content Accuracy and Verification: To the fullest extent permitted by applicable law, we do not represent or warrant that resume or cover-letter guidance, examples, recommendations, or related information are accurate, complete, current, error-free, or suitable for any particular purpose. You are responsible for independently reviewing and verifying the information before relying on it.

ATS and Cover-Letter Scores: ATS scores are estimates calculated using our own formula, informed by publicly available guidance on resume formatting and keyword matching. They are not scores issued or endorsed by an ATS provider or employer. Cover-letter scores are also our own assessments. Parsing, weighting, screening criteria, and results vary between systems, employers, job descriptions, and document formats. No score guarantees successful parsing, a particular ranking, an interview, or employment. Use scores as general guidance and independently check your documents against the employer’s requirements. To the fullest extent permitted by applicable law, we accept no liability for errors in scores or parsing, or losses arising from reliance on these assessments. Nothing in this notice excludes liability or limits consumer rights that cannot lawfully be excluded or limited.

Terms and Conditions
 
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