Python Complete Course For Python Beginners.Learn Python From Beginner To Advanced Level
β±οΈ Length: 7.3 total hours
β 4.28/5 rating
π₯ 339,610 students
π October 2020 update
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- Course Overview
- This comprehensive Python course is meticulously crafted to transform absolute beginners into proficient Python programmers, guiding them through a structured learning journey from foundational syntax to advanced object-oriented paradigms.
- Designed with the learner’s progression in mind, it demystifies core programming concepts, ensuring a solid understanding of Python’s versatility and power, making it an ideal starting point for anyone aspiring to enter the world of coding.
- With a remarkable track record of attracting over 339,000 students and maintaining an impressive 4.28/5 rating, this course stands as a testament to its effectiveness and the quality of its instructional approach, widely recognized for delivering tangible learning outcomes.
- Spanning 7.3 total hours, the curriculum is efficiently organized to deliver a substantial amount of knowledge without overwhelming the learner, focusing on practical application and conceptual clarity that builds confidence progressively.
- Updated in October 2020, the course content ensures relevance and accuracy for Python’s stable features, providing learners with a robust and current understanding of the language’s core elements crucial for modern development practices.
- It’s not just about learning syntax; this course is about cultivating a programmer’s mindset, enabling students to approach problems computationally and leverage Python as a powerful tool for solution development across various domains.
- Requirements / Prerequisites
- Absolutely no prior programming experience is necessary; this course assumes you are a complete beginner, making it perfectly accessible for individuals taking their very first step into coding.
- A functional computer (Windows, macOS, or Linux) with a stable internet connection is required to access course materials and install the necessary Python development environment.
- Basic computer literacy, such as navigating your operating system, managing files, and using a web browser, will be beneficial, though detailed setup instructions are provided to guide you through the initial steps.
- A willingness to learn, experiment, and engage with coding challenges is the most crucial prerequisite, as consistent practice is key to mastering programming concepts.
- While not strictly required, having a curious mind and a problem-solving attitude will significantly enhance your learning experience and retention throughout the course.
- Skills Covered / Tools Used
- Mastering fundamental data types and complex data structures, learners will gain proficiency in handling numerical, string, boolean, list, tuple, dictionary, and set operations, essential for effective data manipulation.
- Develop robust control flow mechanisms using conditional statements (if/elif/else) and various looping constructs (for and while loops) to dictate program execution logic and automate repetitive tasks efficiently.
- Learn to organize code effectively into reusable blocks through the creation and application of custom functions, including understanding parameters, return values, and variable scope for modular programming.
- Delve into the powerful paradigm of Object-Oriented Programming (OOP), covering concepts like classes, objects, attributes, methods, inheritance, and polymorphism, enabling the design of scalable and maintainable applications.
- Acquire essential debugging skills to identify and resolve common programming errors, alongside best practices for writing clean, readable, and well-commented Python code for improved collaboration and future maintenance.
- Gain familiarity with setting up a Python development environment, including installing the Python interpreter and utilizing integrated development environments (IDEs) or text editors that facilitate coding efficiency and project management.
- Explore basic input/output operations, allowing programs to interact with users and external files, laying the groundwork for more advanced data persistence and application interactivity.
- Develop an understanding of Python’s standard library, introducing learners to commonly used modules that extend Python’s capabilities for various tasks, from mathematical operations to system interactions.
- Benefits / Outcomes
- Emerge with the confidence and practical skills to independently write, test, and debug Python programs, capable of tackling a wide array of computational problems from simple scripts to more complex applications.
- Lay a strong foundational understanding in programming that is highly transferable, not just to other programming languages but also to analytical and problem-solving roles across diverse industries.
- Unlock opportunities in various tech fields, serving as a springboard for further specialization in areas like web development (Django/Flask), data science (Pandas/NumPy), machine learning, or automation engineering.
- Cultivate advanced logical thinking and algorithmic design abilities, empowering you to break down complex problems into manageable steps and devise elegant, efficient Python-based solutions.
- Achieve the capability to read and understand existing Python codebases, enabling you to collaborate on projects, contribute to open-source initiatives, or adapt scripts to suit specific needs.
- Gain a solid grasp of core computer science principles as applied through Python, deepening your comprehension of how software works and how to design effective software solutions.
- Empower yourself to automate mundane tasks, develop personal utility tools, and embark on personal coding projects, transforming ideas into functional software with your newfound Python expertise.
- PROS
- Beginner-Friendly Approach: Specifically designed for individuals with no prior coding experience, ensuring a gentle yet thorough introduction to programming concepts.
- Proven Student Satisfaction: Boasts a high rating (4.28/5) from a massive student base (339,610+), indicating effective teaching and valuable content.
- Comprehensive Coverage: Takes learners from the absolute basics through to advanced topics like Object-Oriented Programming, providing a complete introductory journey.
- Efficient Learning Curve: At 7.3 hours, the course is concise enough to be completed without extensive time commitment while still delivering substantial knowledge.
- Practical Skill Development: Focuses on building transferable skills applicable to real-world tasks and various career paths, encouraging immediate application of learned concepts.
- Strong Foundation for Future Learning: Equips students with the necessary understanding and confidence to pursue more specialized areas within Python or other programming languages.
- Flexible Self-Paced Learning: Allows students to learn at their own pace, revisit challenging topics, and integrate learning into their personal schedules effectively.
- CONS
- Potential for Outdated Content: The last update in October 2020 means newer Python features or significant changes in the Python ecosystem (e.g., modern libraries, best practices, or Python 3.9+ specifics) might not be explicitly covered, potentially requiring supplemental learning for the absolute latest advancements.
Learning Tracks: English,IT & Software,IT Certifications
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