Python for Beginners: Complete Python Programming

Python: Learn to code with Python programming language. Start coding in Python. Python Programming for Beginners. Python

3.80 (772 reviews)
Udemy
platform
English
language
Programming Languages
category
Python for Beginners: Complete Python Programming
21,459
students
3 hours
content
Mar 2019
last update
$39.99
regular price

What you will learn

How to get up and running with Python

Learn how to use Spyder and Jupyter Notebook

Understand the basics of programming in Python

Learn about variables, identifiers and operators

Explore Python’s object types such as numbers, lists, and dictionaries

Learn how to use conditional statements

Learn how to use loops and create functions

Understand the Numpy Module

Why take this course?

🌟 **Course Title:** Python for Beginners: Complete Python Programming Course 🎓 **Headline:** 🚀 **Python: Learn to Code with the Versatile Python Programming Language** **Unlock Your Coding Potential with Python!** Are you ready to dive into the world of programming and emerge as a proficient Python coder? Whether you're a complete beginner or looking to expand your skill set, our **Python for Beginners: Complete Python Programming Course** is tailored to guide you through every step of your coding journey. **Why Learn Python?** 🐍 - **Ease of Learning:** Python's syntax is intuitive and readable, making it the perfect language for beginners. - **Versatility:** From web development to data analysis, machine learning to automation, Python's applications are as diverse as they are powerful. - **High Demand:** With a growing need for tech talent in various industries, proficiency in Python is highly sought after by employers worldwide. **What You'll Learn:** - 🛠 **Python Basics:** Understand the fundamentals of Python syntax and structure to write your first lines of code. - 📊 **Data Structures & Algorithms:** Learn how to handle and manipulate data efficiently with lists, dictionaries, sets, and more. - 🤔 **Logic & Problem Solving:** Develop problem-solving skills through practical exercises and real-world examples. - 🧠 **Functions & Modules:** Master the art of code reusability and modularity by writing clean, readable functions and modules. - 📱 **Object-Oriented Programming (OOP):** Dive into OOP concepts and learn how to design classes and objects that encapsulate data and behavior. - 🔍 **File Handling:** Gain the skills needed to create, read, write, and manipulate files in Python. - 🤖 **Automation:** Automate repetitive tasks and streamline your workflow with Python scripts. - 📈 **Data Analysis & Visualization:** Explore data analysis libraries like pandas and matplotlib to extract insights from data sets. - 🚀 **Advanced Topics:** As you advance, explore more complex topics such as exception handling, decorators, and regular expressions. **Why Enroll in This Course?** - **Step-by-Step Learning:** No prior programming experience required – we start from the very basics. - **Expert Instruction:** Taught by Phaninder, an experienced Python instructor who makes learning Python engaging and accessible. - **Hands-On Experience:** Reinforce your knowledge with practical coding exercises, projects, and real-world applications. - **Community Support:** Join a community of like-minded learners and collaborate on projects. - **Career Opportunities:** Position yourself in the job market as a Python programmer with in-demand skills. **Your Path to Mastering Python Starts Here!** 💻 Enroll now to embark on an exciting journey into the realm of programming. With our comprehensive course, you'll be equipped to tackle complex coding challenges and create impactful Python programs that can shape the future. Join us, and let's turn your curiosity into a career with unlimited potential! 🌟 **Enroll Today and Code Tomorrow!**

Our review

🔹 **Course Rating:** 3.8/5 ## Course Overview The course has received mixed reviews from learners with varying expectations and experiences. The majority of the feedback points to it as a solid introduction to Python, suitable for beginners who are new to programming. However, there are some recurring issues that need to be addressed. ### Pros: - **Comprehensive Introduction:** Several learners found the course to be a great starting point, covering all the basics needed to get going with Python. - **Real-world Examples:** Learners appreciated the practical examples provided in each lecture, which made the learning process engaging and relevant. - **Clear Instructions:** Many users commended the clear and detailed instructions that were easy to follow, making complex topics understandable for newcomers. - **Recommendation for Beginners:** The course was highly recommended by some learners who believed it provided an excellent foundation for those with no prior programming experience. - **Engaging Content:** Some reviews highlighted the engaging content and the pace of the course, which was moderate enough to keep learners interested without feeling overwhelmed. ### Cons: - **Accent Difficulty:** A significant number of learners had difficulties understanding the instructor's accent, which sometimes made it challenging to follow along with the lessons. - **Installation and Setup Issues:** Learners pointed out that setting up the required software, such as MS Visual Studio code and Anaconda, was not covered within the course, necessitating external resources like YouTube for guidance. - **Language and Terminology Barriers:** There were instances where the terminology used was confusing or unclear, with some learners even providing a 'dictionary' of terms they found difficult to understand due to the accent or mispronunciation. - **Practical Application Lacking:** Some users felt that more hands-on practice projects or homework assignments would have enhanced the learning experience by allowing learners to apply what they learned directly. - **Incomplete Explanations:** A few reviews mentioned that some concepts, like using `d.items()` before it was properly explained, were not fully fleshed out, and important aspects such as exception handling with `try... catch` were not adequately covered. - **Outdated Content:** A couple of learners noted that the course felt somewhat outdated, particularly in its references to specific tools from continuum.io, and would benefit from updates to reflect current best practices. ### Additional Considerations: - **Pronunciation and Articulation:** The instructor's strong accent led to some difficulty in understanding key terms, which could be a barrier for learners who are not native English speakers or who are new to the pronunciation of technical terms. - **Resource Availability:** Despite some shortcomings within the course material, several learners made use of external resources and complementary learning to fill in the gaps, indicating that with additional resources, the course could still be beneficial. ### Final Thoughts: Overall, the course is a valuable resource for beginners looking to start their journey with Python. With the issues highlighted, it seems that the course could greatly improve learner experience with clearer explanations, updated content, and perhaps more focus on practical application. Despite some challenges, the positive feedback suggests that with the right approach and supplementary learning materials, this course can still be a solid foundation for anyone new to Python programming.

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2269454
udemy ID
3/13/2019
course created date
5/30/2019
course indexed date
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