Intermediate Python Programming
Advance Your Python Skills: Master Intermediate Programming Concepts and Build Complex Applications
Updated on Jun, 2025
Language - English
IT and Software ,Other IT and Software,Python
Lectures -55
Duration -8 hours
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Course Description
When a person knows how to code, it opens up endless possibilities. Add to that knowing how to code in python, well you have become one of the most sought after individuals in today’s competitive job market.
Learning the basics of python itself is quite difficult as it requires hundreds of hours and thousands of repetitions. When it comes to learning the intermediate level, double the amount of hours and repetitions. However, we have got you covered with our Python for Intermediate course!
This Python Intermediate course bridges that gap, diving into essential topics to elevate your programming capabilities. It covers data structures, complex structures, and advanced loop techniques like zip, enumerate, and list comprehension. Learners will explore function mechanics, lambda functions, recursion, and the nuances of object-oriented programming, including creating and importing modules.
The curriculum also introduces built-in modules like Math, OS, and Itertools, along with file handling, exceptions, and Python packages like NumPy. It all culminates in a capstone project where you’ll create a tic-tac-toe app. Take your python programming to the next level and build complex applications and advanced projects!
Goals
- Define and use Python data structures, conditional statements, and loops to develop effective and reusable code.
Apply list comprehensions, nested loops, and iteration techniques to manipulate complex datasets with lower computational overhead.
Take advantage of Python functions' additional features, such as recursion, lambda expressions, and multiple arguments, to develop flexible and optimized solutions.
Develop classes and objects in Python by making use of object-oriented principles towards designing modular, maintainable, and scalable programs. Investigate the built-in modules of Python: math, time, os, and itertools. Use files in Python. Read, write, and handle exceptions by using safe functions so no runtime error occurs. Implement exception handling for typical Python errors: division errors, file access errors, and type errors.
Install and utilize Python packages like Numpy to manipulate multi-dimensional arrays and to do numerical operations.
Investigate space and time complexities in terms of Big O notation to optimize real-world Python programs.
Design and implement a tic-tac-toe application using the projects that combine loops, OOP concepts, and usage of packages.
Who should take this course?
People interested in understanding the capabilities of Python programming further and enhance the solution-crafting ability along with enhancing code quality.
Those looking to understand object-oriented design concepts and how to incorporate the same in scalable as well as reusable Python-based designs.
Those interested in enhanced level Python skills and tricks when it comes to computations on data.
Those making the use of file input or output handling and managing of exceptions for improved robustness as well as reliability in scripts.
Interested in working on even more sophisticated packages in Python that use mathematical data processing and even multi-dimensional information processing. .
Prerequisites
- Internet Connection
- No Formal Entry Requirements
- Passion for Learning
- A Good Understanding of English
Career path
- Python Developer
- Data Analyst
- Software Engineer
- Machine Learning Engineer
- Web Developer
- Automation Tester
- Systems Analyst
Curriculum
Check out the detailed breakdown of what’s inside the course
Intermediate Python Introduction
1 Lectures
-
Intermediate Python Introduction
05:21
05:21
Module 01: Python basic recap
9 Lectures
Module 02: Deep dive into Loops
6 Lectures
Module 03: Deep dive into functions
9 Lectures
Module 04: OOP concepts
7 Lectures
Module 05: Built-in modules
8 Lectures
Module 06: File and Exception Handling
8 Lectures
Module 07: Using python packages(Numpy)
6 Lectures
Capstone Project
1 Lectures
Instructor Details
Matt Renshaw
Professional Learning At Your HomeJanets aims to make education accessible to anyone and every one by providing lessons worth learning and skills worth gaining. With a library boasting over 3000 high-quality eLearning courses, we're dedicated to providing lessons worth learning and skills worth gaining. Our focus? Delivering Creativity, Quality, and Ease of Learning through our interactive courses.
What sets Janets apart? It's the seamless access to learning, anytime, anywhere, on any device. Whether you're a busy professional or a lifelong learner, our platform caters to your needs. Our instructors are not just experts; they're mentors, guiding you every step of the way. And with round-the-clock customer assistance, you're never alone in your learning journey.
Janets paves the way to a better future, one skill at a time. If you want to join this community of learners and influencers, it’s just a few clicks away.
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