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Python Programming Level 2
Master Python programming through hands-on projects and interactive learning. This course will help you advance from beginner to intermediate level and equip you with essential skills for real-world applications.
Created By
19 STUDENTS ENROLLED
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Learning Outcome
- Understand the essential setup and core concepts needed to get started with Python programming.
- Learn how to manipulate strings and apply operators in Python to perform essential operations.
- Master Python sequences and understand how to work with lists, tuples, and other data types.
- Learn how to structure Python statements to define the flow of execution in your programs.
- Apply control flow statements to make decisions and iterate over data effectively in Python.
- Develop basic games with Python, applying your knowledge of logic and user input handling.
- Understand how to create and use functions in Python to improve code reusability and efficiency.
- Learn to manage files and directories within Python, enabling interaction with your system’s file structure.
- Gain knowledge in regular expressions to handle and process patterns in strings and data.
- Complete a Python project, applying the skills learned in a practical, real-world coding challenge.
Course Description:
The Python Programming Level 2 course is an intermediate-level course designed to build on foundational knowledge of Python and take your coding skills to the next level. This comprehensive course is perfect for individuals who have basic experience with Python and wish to deepen their understanding of the language to create real-world applications and projects.
The course starts with a Python Introduction and Setup, ensuring that you have the correct environment for coding. Then, you will dive into Python Basics to ensure you fully understand the language’s core syntax and concepts. From there, you will explore Python Strings, Operators, and Sequences, learning how to work with various data types and perform essential operations.
Next, the course moves into more complex topics like Python Statements and Control Flow Statements. These sections are crucial for developing logic in your code, allowing you to make decisions and iterate through data effectively. The Python Games for Beginners module is a fun and interactive way to put your skills to the test, as you build your first games with Python.
The course continues by covering Python Functions, showing you how to create reusable blocks of code to improve efficiency and reduce redundancy. You will also learn about Working with File Structure, which is key for interacting with files on your computer. The Regular Expressions module teaches you how to work with patterns in text, a powerful tool for many real-world programming tasks such as data scraping or validation.
The course culminates in a Python Project, where you will combine all your learning into a comprehensive project, solidifying your skills and showcasing your abilities. Additionally, a Bonus Lecture for What Next will guide you on the next steps in your Python learning journey, providing suggestions for advancing your skills and expanding your programming expertise.
By the end of the Python Programming Level 2 course, you will be equipped with the knowledge and practical experience needed to take on intermediate Python programming tasks, develop your own projects, and prepare for more advanced studies in the language.
Who This Course Is For:
- Aspiring Python developers who want to level up their programming skills.
- Intermediate Python learners who have a basic understanding and want to advance further.
- Developers looking to expand their knowledge of Python programming and application development.
- Students or professionals aiming to work with Python in real-world scenarios.
- Individuals interested in game development and programming logic with Python.
- People looking to build their portfolio with real Python projects.
- Programmers who want to learn more advanced techniques in Python, including regular expressions.
- Anyone seeking to improve their skills in Python for career growth in tech industries.
Requirements:
- Basic understanding of Python programming fundamentals.
- No advanced programming experience is necessary—just familiarity with the basics.
- A computer with Python installed and ready for coding exercises.
Course Instructor
Sudha Sekhar Metla
Mr. Sudha Sekhar is a distinguished IT Specialist and Co-Founder of Harisystems, known for his deep expertise in web development technologies, including Python, C#, Asp.Net, PHP, HTML, CSS, and JavaScript. With a profound understanding of database systems like MS-SQL, MySQL, and MongoDB, Mr. Sekhar brings real-world insights to the classroom, offering valuable guidance and mentorship to learners seeking to advance their programming skills.
Accreditation
This course is accredited by CPDQE. The demand for professionals to engage in Continuing Professional Development is escalating, irrespective of the industry, career stage, or job function. CPD serves as an impactful mechanism for skill enhancement, maintaining the relevance of academic credentials, and strategically advancing one’s career.
This CPDQE Certified Course will ensure that you have obtained the required CPD trainings for your professional development.
What Students say about us
The courses on the website are well designed, very clear and you can learn a lot of useful skills from them. A very
Enjoying the course at my pace, repeating what I did not understand and learning
Frequently Asked Questions
Everything you need to now about he product billing.
Python is used for web development, data analysis, machine learning, AI, automation, scripting, and software development.
Python is generally easier for beginners because of its simple syntax, while C++ is more complex and requires manual memory management.
Python’s standard implementation, CPython, is written in C.
Python has 33 keywords (reserved words) that have special meanings, like if, else, while, for, def, and class.
Yes, Python is beginner-friendly due to its readable syntax and wide range of learning resources.
Python code is written using an editor or IDE (like PyCharm, VS Code) and saved with a .py extension; it’s executed using the Python interpreter.
Python is mainly used for automation, web development, scientific computing, data analysis, AI, and software applications.
Python is considered easy to learn for beginners, especially compared to languages like C++ or Java.
Python is better for rapid development and simplicity; C++ is better for performance-intensive applications.
Python is used in web apps (Instagram), data science (analytics), AI models, automation scripts, and scientific research.
Jobs include software developer, data analyst, data scientist, AI/ML engineer, web developer, and automation engineer.
Yes, Python can be used in Excel through tools like PyXLL, xlwings, or Microsoft’s Python integration.
Basics can be learned in 1–2 months; mastery and advanced applications take longer with consistent practice.
Java is generally harder due to strict syntax and object-oriented rules; Python is easier for beginners.
Course Curriculum
| Introduction | |||
| Course Introduction | 00:03:00 | ||
| Course Curriculum | 00:04:00 | ||
| How to get Pre-requisites | 00:02:00 | ||
| Getting Started on Windows, Linux or Mac | 00:01:00 | ||
| How to ask Great Questions | 00:02:00 | ||
| FAQs | 00:01:00 | ||
| source code file | 00:09:00 | ||
| Introduction to Python and Setting Up | |||
| Introduction to Python | 00:03:00 | ||
| Python vs Other Languages | 00:04:00 | ||
| Why Its Popular | 00:04:00 | ||
| Command Line Basics | 00:07:00 | ||
| Python Installation (Step By Step) | 00:06:00 | ||
| PyCharm IDE Installation | 00:08:00 | ||
| Getting Start PyCharm IDE | 00:05:00 | ||
| First Python Hello World Program | 00:08:00 | ||
| Assessment Test | 00:02:00 | ||
| Solution for Assessment Test | 00:02:00 | ||
| Summary | 00:02:00 | ||
| Python Basic | |||
| Introduction | 00:02:00 | ||
| Variables | 00:17:00 | ||
| Data Types | 00:14:00 | ||
| Type Casting | 00:07:00 | ||
| User Inputs | 00:08:00 | ||
| Comments | 00:04:00 | ||
| Assessment Test | 00:01:00 | ||
| Solution for Assessment Test | 00:02:00 | ||
| Summary | 00:02:00 | ||
| Care for a Feedback | 00:01:00 | ||
| Python Strings | |||
| Introduction | 00:02:00 | ||
| Strings | 00:05:00 | ||
| String Indexing | 00:06:00 | ||
| String Slicing | 00:04:00 | ||
| String Built-in Functions | 00:09:00 | ||
| Formatting String (Dynamic Data) | 00:05:00 | ||
| Assessment Test | 00:02:00 | ||
| Solution for Assessment Test | 00:02:00 | ||
| Summary | 00:01:00 | ||
| Python Operators | |||
| Introduction | 00:03:00 | ||
| Arithmetic Operators | 00:08:00 | ||
| Assignment Operators | 00:05:00 | ||
| Comparison Operators | 00:06:00 | ||
| Logical Operators | 00:02:00 | ||
| AND Operator | 00:05:00 | ||
| OR Operator | 00:03:00 | ||
| NOT Operator | 00:03:00 | ||
| Booleans | 00:02:00 | ||
| Assessment Test | 00:02:00 | ||
| Solution for Assessment Test | 00:02:00 | ||
| Summary | 00:02:00 | ||
| Python Sequences | |||
| Introduction | 00:03:00 | ||
| Arrays in Earler | 00:02:00 | ||
| Lists | 00:06:00 | ||
| Add List Items | 00:03:00 | ||
| Remove List Items | 00:02:00 | ||
| Sort Lists | 00:03:00 | ||
| Join Lists | 00:08:00 | ||
| Tuples | 00:08:00 | ||
| Update tuples | 00:07:00 | ||
| Join tuples | 00:02:00 | ||
| Dictionaries | 00:06:00 | ||
| Add Dictionary Items | 00:05:00 | ||
| Remove Dictionary Items | 00:03:00 | ||
| Nested Disctionaries | 00:04:00 | ||
| Sets | 00:04:00 | ||
| Add Set Items | 00:04:00 | ||
| Remove Set Items | 00:02:00 | ||
| Join Set Items | 00:04:00 | ||
| Assessment Test | 00:02:00 | ||
| Solution for Assessment Test | 00:03:00 | ||
| Summary | 00:02:00 | ||
| Python Statements | |||
| Introduction | 00:03:00 | ||
| If Statement | 00:04:00 | ||
| If-else Statement | 00:05:00 | ||
| If-elif-else Statement | 00:04:00 | ||
| If Statement Coding Excercise | 00:05:00 | ||
| Assessment Test | 00:03:00 | ||
| Solution for Assessment Test | 00:02:00 | ||
| Summary | 00:02:00 | ||
| Python Control Flow Statements | |||
| Introduction | 00:05:00 | ||
| Flow Charts | 00:07:00 | ||
| While Loops Statement | 00:10:00 | ||
| For Loops Statement | 00:07:00 | ||
| Loop through a String | 00:04:00 | ||
| The Break Statement | 00:04:00 | ||
| The Continue Statement | 00:03:00 | ||
| The range() Function | 00:04:00 | ||
| Nested Loops | 00:04:00 | ||
| 2D List using Nested Loop | 00:04:00 | ||
| Assessment Test | 00:02:00 | ||
| Solution for Assessment Test | 00:04:00 | ||
| Summary | 00:02:00 | ||
| Python Games for Beginners | |||
| Introduction | 00:01:00 | ||
| Guessing Game | 00:08:00 | ||
| Car Game | 00:10:00 | ||
| Summary | 00:01:00 | ||
| Python Functions | |||
| Introduction | 00:02:00 | ||
| Creating a Function | 00:03:00 | ||
| Calling a Function | 00:06:00 | ||
| Function with Arguments | 00:05:00 | ||
| args, Arbitary Arguments | 00:04:00 | ||
| kwargs, Arbitary Keyword Arguments | 00:06:00 | ||
| Summary | 00:01:00 | ||
| Working with File Structure | |||
| Introduction | 00:03:00 | ||
| Reading Files | 00:10:00 | ||
| Creating_Writing Files | 00:06:00 | ||
| Delete Files | 00:03:00 | ||
| Summary | 00:02:00 | ||
| Regular Expressions | |||
| Introduction | 00:02:00 | ||
| RegEx Module | 00:07:00 | ||
| RegEx Functions | 00:08:00 | ||
| Summary | 00:02:00 | ||
| Python Project | |||
| Introduction | 00:03:00 | ||
| Project Overview | 00:04:00 | ||
| ATM RealTime Project | 00:14:00 | ||
| Summary | 00:01:00 | ||
| Bonus Lecture for What Next | |||
| Bonus Lecture for What Next | 00:02:00 | ||
| Assessment Test | |||
| Python Programming Level 2 Assessment Test | 00:15:00 | ||
| Order Your Transcript | |||
| Order Your Transcript | 00:01:00 | ||
