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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.

Requirements:

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

Pros:

  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.

Cons:

  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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