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Review of 100 Days of Code – Complete Python Bootcamp for 2024

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As a passionate learner eager to delve into the realm of programming, I embarked on a transformative journey through the “100 Days of Code – The Complete Python Bootcamp” on Udemy. Over the course of several weeks, I dedicated myself to this comprehensive program designed to elevate my Python skills and empower me with the expertise needed. This Python course is without a doubt the most comprehensive Python course available anywhere online. Even if you have zero programming experience, this course will take you from beginner to professional.

  • Duration: 100 days (approximately 15-20 weeks / 54 hours)
  • Instructor: Dr. Angela Yu
  • Downloadable Resources: 151
  • Total Articles: 222
  • Level: Beginner to Intermediate
  • Rating: 4.7
  • More info: Visit this course and get offer on this course

What you will learn from this course 100 days of code: The Complete Python Pro Bootcamp for 2024:

  • You will master the Python programming language by building 100 unique projects over 100 days.
  • You will be able to program in Python professionally
  • Create a portfolio of 100 Python projects to apply for developer jobs
  • Be able to use Python for data science and machine learning
  • Build GUIs and Desktop applications with Python
  • You will learn automation, game, app and web development, data science and machine learning all using Python.
  • You will learn Selenium, Beautiful Soup, Request, Flask, Pandas, NumPy, Scikit Learn, Plotly, and Matplotlib.
  • Be able to build fully fledged websites and web apps with Python
  • Build games like Blackjack, Pong and Snake using Python

Spanning a duration of 100 days, this bootcamp was meticulously structured to cover an extensive array of Python concepts. It commenced with the foundational basics, gradually progressing toward more complex topics. Here’s a glimpse of the key areas covered:

  1. Introduction to Python: An in-depth overview of Python’s syntax, data types, and fundamental concepts, catering to beginners and setting a strong foundation for subsequent modules.
  2. Control Flow and Loops: Understanding control structures, conditional statements, loops, and their practical implementation to solve problems and streamline code execution.
  3. Functions and Modules: Exploring the creation of functions, modular programming, and how to efficiently organize code for reusability and maintainability.
  4. Object-Oriented Programming (OOP): Delving into the paradigm of OOP, encapsulation, inheritance, and polymorphism, enabling a more sophisticated approach to programming.
  5. File Handling: Learning how to read from and write to files, manipulating data stored externally, and handling various file formats.
  6. Error Handling and Debugging: Acquiring essential skills in identifying, handling, and debugging errors, ensuring code reliability and robustness.
  7. Intermediate Python: Diving deeper into more advanced concepts like decorators, generators, comprehensions, and advanced data structures.
  8. Web Scraping and Automation: Exploring the world of web scraping and automation, leveraging Python libraries to extract information from websites and automate tasks.
  9. Data Analysis with Python: Introduction to data manipulation, visualization, and analysis using libraries such as Pandas, NumPy, and Matplotlib.
  10. Introduction to Django: An introductory module to web development with Django, including setting up a basic web application and understanding its components.

Instructor’s Approach: The instructor’s approach was exemplary, blending theoretical knowledge with hands-on coding exercises and projects. Their lucid explanations and real-world examples made even the most intricate concepts comprehensible. Moreover, the daily commitment of dedicating time to code ensured a consistent learning curve, gradually building proficiency.


  • No programming experience needed – I’ll teach you everything you need to know
  • A Mac or PC computer with access to the internet


  1. Comprehensive Curriculum: The Python course on Udemy covered an extensive range of Python topics, from basics to advanced, providing a holistic understanding of the language.
  2. Hands-on Projects: Regular coding exercises and projects reinforced theoretical knowledge, fostering a practical understanding and boosting confidence in coding abilities.
  3. Daily Commitment: The 100-day structure instilled discipline and consistency, making learning Python a daily habit and significantly enhancing skill acquisition.
  4. Engaging Instructor: The instructor’s engaging teaching style, clarity, and responsiveness to queries contributed immensely to the overall learning experience.
  5. Diverse Applications: The course not only focused on Python fundamentals but also touched upon applications in web development, data analysis, and automation, widening its scope and relevance.


  1. Pace May Be Fast for Absolute Beginners: While the course caters to beginners, the pace might be challenging for those entirely new to programming. Additional self-study might be required for some sections.
  2. Limited Depth in Advanced Topics: Some advanced topics could have been explored in greater depth, although this could be supplemented by further study or specialized courses.

Conclusion: The “100 Days of Code – The Complete Python Bootcamp” on Udemy proved to be an enriching and transformational learning experience. From mastering Python’s syntax to applying it in real-world scenarios, the course not only equipped me with technical expertise but also cultivated a disciplined coding routine. The hands-on approach, comprehensive curriculum, and supportive instructor made this journey both educational and enjoyable.

For anyone seeking to embark on a Python programming odyssey or enhance their existing skills, this course undoubtedly serves as an invaluable resource.

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