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Jose Portilla

Welcome to Python for Data Structures, Algorithms and Interviews.

This is the most comprehensive course online to help you ace your coding interviews and learn about Data Structures and Algorithms. This course takes advantage of the easy to read Python programming language to efficiently teach you what you need to know to land the tech job of your dreams.

This course will teach you everything you need to know to get a great job in the software technology field, including:

Read more

Welcome to Python for Data Structures, Algorithms and Interviews.

This is the most comprehensive course online to help you ace your coding interviews and learn about Data Structures and Algorithms. This course takes advantage of the easy to read Python programming language to efficiently teach you what you need to know to land the tech job of your dreams.

This course will teach you everything you need to know to get a great job in the software technology field, including:

  • Creating a great resume
  • Creating LinkedIn and GitHub profiles for recruiters to find
  • Building and leveraging a network for job opportunities
  • The latest job searching tools available online
  • Non-Technical Interview Questions and Answers
  • Post-Interview topics (Salary Negotiation and References Preparation)
  • Jupyter Notebooks Overview
  • Algorithm Analysis and Big-O Notation
  • Array Sequences
  • Stacks Queues and Deques
  • Linked Lists
  • Recursion
  • Trees
  • Searching and Sorting Algorithms
  • Graph Algorithms
  • Riddles and Brainteasers
  • 4 Mock Interviews.

Achieve your career goals and get a fantastic job in technology by enrolling in this course.

Enroll now

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What's inside

Learning objectives

  • Create a great resume
  • Have a linkedin and github profile for recruiters
  • Understand all major data structures and algorithms
  • Ace coding interviews after preparing with the course's mock interviews

Syllabus

Learn about the course and set up!

Learn about the course.

Learn about the course set up and the materials for this course!

Read more

Learn the best ways to get help!

FAQ for the course.

Learn about the various company and job types!

Learn what type of company is right for you!

Learn about various job types in the industry!

Learn how to prepare a great resume!

Learn best practices for Resume prep!

Get an overview of the best tools on the web for creating resumes!

List of resume creation websites

Link for Resume Checklist!

Learn how to establish your web presence for recruiters!

Set up your Linkedin account!

Set up your GitHub account!

Learn the best ways to set-up your own personal website!

Learn how to build a network and leverage it!

Learn how to expand your Network!

Learn how to use Meetups to create job opportunities!

Learn about tools and resources to use on your Job hunt!

Learn how to stay organized during your job search!

Learn about the various websites to find the best programming jobs!

List of Job Board Sites

Learn about various sites that link you directly with an employer!

List of Company Matching Sites

Get ready for your interview with these fundamentals!

Get a study plan for your interviews!

Learn the ins and outs of the Phone screen!

Practice answering tough interview questions!

Practice answering questions for students!

Special case interview questions!

Learn what to do after your interview!

General Salary Negotiation Tips

Practice Salary Questions and Answers

Learn how to prepare your references!

Quick Overview on the Format of the rest of the course!

Get an Overview on how the rest of the course is formatting!

Quick Reminder

A disclosure on what questions are appropriate

Introduction to Jupyter Notebooks

Guide to installation

Set-up everything you need for the course for a Windows Environment!

Set-up everything you need for the course for a Mac Environment!

Learn how to use Jupyter Notebooks for this course!

Find out about the notebooks for the course.

Learn what the interview notebooks are like!

Learn about Big O notation and Algorithm Analysis!

Links for this sections notebooks.

Learn what Big O is!

Learn how to write Big O notation!

Walk through various Big O examples!

Quick recap of the reading assignment!

Big O for Python List Operations!

Quick check of your understanding for Big O operations in Python.

Cheat Sheet for Big-O!

Learn about strings and arrays!

Get an introduction to Array Based Sequences

Learn how low level arrays are constructed.

Get an overview on Dynamic Arrays

Learn how to create our own Dynamic Array object!

Learn about amortization!

Interview Problems Array

Anagram Check

Part of the Array Interview Problems

Learn how to utilize and understand Stacks, Queues, and Deques.

Part of the Stacks Queues and Deques Section of the course.

Overview of Stacks Theory

Live Code Session of Implementing a Stack Class!

Overview of what a Queue is.

Live Code Session of Implementing a Queue class!

Overview of what a Deque is.

Live Code Session of Implementing a Deque class!

Part of the Stacks Queues and Deques Section of the Course

Part of the Stacks Section of the course.

Learn about Linked LIsts!

Part of the Linked Lists Section of the Course.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Teaches skills, knowledge, and tools that are highly relevant to industry
Provides hands-on labs and interactive materials
Covers a comprehensive range of data structures and algorithms
Prepares learners for coding interviews with mock interviews
Utilizes Python for practical and efficient learning
Requires learners to come in with some programming background

Save this course

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Reviews summary

Clear video instruction

Learners say this course provides clear video instruction for learning Python data structures, algorithms, and interview techniques. However, some students wish that the videos were longer and that the code samples included more comments. Additionally, learners mention that this course uses Python2 and should be updated to Python3.
Course offers clear video instruction.
"The majority of the videos are good..."
"I learned a good amount..."
Course should be updated to Python3.
"This course also needs to be updated to Python3. It's not hard to update the code yourself as you go along, but it's an annoyance."
Code samples are not very helpful.
"I feel that [the videos] are too brief."
"some of the code samples were commented a little better so that you can follow along and understand."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Python for Data Structures, Algorithms, and Interviews! with these activities:
Create a LinkedIn profile
Help you connect with potential employers and industry professionals.
Show steps
  • Create a LinkedIn account.
  • Fill out your profile completely.
  • Join relevant groups and follow companies of interest.
Create a resume
Help you showcase your skills and qualifications for potential employers.
Show steps
  • Review the course materials on resume writing.
  • Gather information about your skills, experience, and education.
  • Use a resume builder or template to create a resume.
  • Proofread your resume carefully.
Find a mentor in the field
Provide you with guidance, support, and advice as you navigate your career.
Show steps
  • Identify potential mentors who have experience in your field of interest.
  • Reach out to them and introduce yourself.
  • Ask them if they would be willing to mentor you.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Introduction to Algorithms
Provide you with a comprehensive understanding of fundamental algorithms and data structures.
Show steps
  • Read chapters 1-4 of the book.
  • Work through the practice problems at the end of each chapter.
  • Review the solutions and try to understand the approach.
Practice LinkedList Problems
Help you strengthen your understanding of LinkedList and improve your problem-solving skills.
Browse courses on LinkedList
Show steps
  • Go through the LinkedList section of the course.
  • Solve 5-10 easy LinkedList problems on Leetcode or a similar platform.
  • Review the solutions and try to understand the approach.
Create a Python script that implements a custom data structure
Help you solidify your understanding of data structures by implementing one from scratch.
Browse courses on Data Structure
Show steps
  • Choose a data structure to implement, such as a stack, queue, or linked list.
  • Design the interface and implementation of your data structure.
  • Write the Python code for your data structure.
  • Test your data structure to ensure it works as expected.
Practice Tree Problems
Help you deepen your understanding of Trees and improve your problem-solving skills.
Browse courses on Tree
Show steps
  • Go through the Tree section of the course.
  • Solve 5-10 medium Tree problems on Leetcode or a similar platform.
  • Review the solutions and try to understand the approach.
Participate in a coding competition
Challenge yourself and test your skills against other programmers.
Browse courses on Coding
Show steps
  • Choose a coding competition that is relevant to your interests.
  • Practice solving coding problems.
  • Register for the competition.
  • Compete in the competition.

Career center

Learners who complete Python for Data Structures, Algorithms, and Interviews! will develop knowledge and skills that may be useful to these careers:
Academic Researcher
Engage cutting-edge research and push the boundaries of knowledge in computer science and data structures with a course that empowers you to master algorithm analysis, searching algorithms, sorting algorithms, and graph algorithms. Advance your career in academia with a strong foundation in the fundamentals of computer science.
Computer Scientist
This course provides a solid foundation for your career as a Computer Scientist. The focus on algorithms and data structures provides the necessary skills to contribute effectively to the development and maintenance of software systems.
Data Analyst
Kickstart your journey as a Data Analyst with this comprehensive course that covers data structures, algorithms, and interview preparation. Understand data collection, processing, and analysis to extract valuable insights and drive informed decision-making.
Data Engineer
Excel as a Data Engineer with the knowledge gained from this comprehensive course. Develop your skills in data storage, management, and processing. The focus on data structures, algorithms, and big data concepts will empower you to design and implement efficient data pipelines.
Data Scientist
Unleash your potential as a Data Scientist with this course that covers the fundamentals of data analysis, machine learning, and statistical modeling. Master data structures and algorithms to process and analyze large datasets, enabling you to extract meaningful insights and make data-driven decisions.
Full-Stack Developer
Embark on your journey as a Full Stack Developer with this course that provides a strong foundation in Python programming, data structures, and algorithms. Build a comprehensive understanding of both front-end and back-end development, preparing you to create dynamic and user-friendly web applications.
Machine Learning Engineer
Become a Machine Learning Engineer with this comprehensive course that covers machine learning algorithms, data structures, and statistical modeling. Gain a deep understanding of supervised and unsupervised learning techniques to develop and deploy predictive models, empowering you to solve complex real-world problems.
Mobile Developer
As a Mobile Developer, this course equips you with the skills to create and deploy mobile applications. Its focus on data structures, algorithms, and Python programming will provide the foundation you need to develop efficient and user-centric mobile apps.
Product Manager
Launch your career as a Product Manager with this course. Gain an understanding of how software development processes work and the key role of data structures and algorithms in building scalable and efficient products. Learn to effectively manage and prioritize product features and requirements.
Quantitative Analyst
Become a successful Quantitative Analyst by mastering the foundations of data analysis, probability, and statistics through this course. Develop expertise in financial modeling, risk management, and trading strategies. The focus on data structures and algorithms will empower you to handle and analyze large datasets efficiently.
Research Scientist
Pursue a career as a Research Scientist with this course that provides a solid grounding in data analysis, algorithm design, and statistical modeling. Engage in groundbreaking research and contribute to the advancement of scientific knowledge by developing innovative solutions to complex problems.
Software Developer
Embark on your journey as a Software Developer with this course that covers the fundamentals of Python programming, data structures, and algorithms. Gain a comprehensive understanding of software development principles and best practices, empowering you to build robust and maintainable software applications.
Software Engineer
Step into the role of a Software Engineer with this comprehensive course. It provides a solid foundation in data structures, algorithms, and Python programming, equipping you to design, develop, and maintain complex software systems. The focus on best practices and industry standards will prepare you for a successful career in software engineering.
Systems Analyst
Become a Systems Analyst with this course. Gain a deep understanding of how organizations leverage technology to achieve their goals. The focus on data structures, algorithms, and project management will enable you to analyze, design, and implement effective technology solutions, aligning with business requirements.
Technical Program Manager
Excel as a Technical Program Manager by mastering the fundamentals of project management, software development, and agile methodologies through this course. Gain expertise in planning, executing, and delivering successful technology projects. The focus on data structures and algorithms will provide you with a strong foundation in technical concepts.

Reading list

We've selected 15 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Python for Data Structures, Algorithms, and Interviews!.
Provides a comprehensive overview of coding interview questions and solutions, covering a wide range of topics addressed in the course, including data structures, algorithms, and coding challenges. It valuable supplement to the course, offering additional practice and insights into the interview process.
This textbook provides a thorough foundation in data structures and algorithms, covering topics such as arrays, linked lists, trees, and graphs. It useful reference for understanding the theoretical concepts behind the algorithms discussed in the course.
This classic textbook comprehensive resource for understanding the fundamentals of algorithms and data structures. While it covers a broader scope than the course, it provides valuable background knowledge and in-depth analysis of algorithmic techniques.
Takes a unique approach to explaining algorithms, using visual aids and clear language to make complex concepts more accessible. It complements the course well, providing a different perspective on the material and reinforcing the key ideas.
Provides a comprehensive guide to algorithms in Python, covering a wide range of topics from sorting to graph traversal. It useful reference for understanding the implementation details of algorithms and how to apply them in practice.
While this book uses Java instead of Python, it provides a solid foundation in data structures and algorithms. It covers similar topics to the course, and its clear explanations and examples can be helpful for learners who want to reinforce their understanding.
Explores algorithms and data structures designed for handling large-scale data. While it goes beyond the scope of the course, it provides valuable insights into the challenges and techniques involved in working with big data.
Provides a practical guide to designing and analyzing algorithms. It covers a wide range of topics, from basic techniques to advanced concepts. It valuable reference for learners who want to delve deeper into the design and optimization of algorithms.
Provides a rigorous foundation in mathematical concepts and techniques used in computer science. While it is more theoretical than the course, it offers valuable background knowledge for learners who want to understand the underlying principles of algorithms and data structures.
Focuses on problem-solving using Python. It covers a range of algorithms and data structures, and provides hands-on exercises to help learners develop their problem-solving skills. It useful resource for learners who want to practice applying these concepts to real-world problems.
Provides a concise overview of algorithms and data structures. It covers a wide range of topics in a compact format, making it a useful reference for quick lookups and summaries.
Introduces programming and problem-solving using Python. While it does not cover data structures and algorithms in depth, it provides a good foundation for learners who are new to programming or want to improve their Python skills.
Provides practical tips and best practices for writing effective Python code. While it does not cover data structures and algorithms specifically, it can help learners improve their coding style and efficiency.
Teaches Python programming through a series of practical projects. While it does not cover data structures and algorithms directly, it can help learners develop their programming skills and become more comfortable with Python.
Teaches programming and problem-solving using Python, with a focus on software design principles. While it does not cover data structures and algorithms in depth, it can help learners develop their programming skills and learn about software design.

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