This course introduces beginners to Python programming, covering fundamentals like data types, lists, dictionaries, conditions, loops, and functions. Students will learn error handling and input/output operations, gaining hands-on experience with data manipulation and visualization. By the end, participants will have a strong foundation in Python, preparing them to tackle various coding projects and challenges.
The Introduction to Python module serves as the foundation for programming and data analysis, covering essential concepts such as data types, collections, string operations, control flow, and functions. Students will learn to manipulate various data types, including integers, floats, lists, dictionaries, and arrays. The module also emphasizes control flow through conditional statements and loops, alongside defining both inbuilt and user-defined functions. Practical applications are a key focus, with sessions dedicated to input/output operations for reading and writing files, as well as working with Excel and databases. Error handling techniques will be introduced to manage exceptions effectively. Finally, students will explore data analysis using the Pandas library, enabling them to manipulate datasets and create basic visualizations, thus equipping them with the skills necessary for further exploration in data science.
Python programming fundamentals, working with various data types and structures, controlling program flow using conditions and loops, defining and using functions, file handling (reading and writing files), error management using try-except blocks, using Pandas for data manipulation, creating basic visualizations with Pandas, performing data analysis, working with Excel and databases, understanding basic concepts of data science, debugging and troubleshooting Python code, handling exceptions effectively, implementing best practices in Python coding.
Implement a Python decorator that should take whatever the decorated function returns, and writes it to a file in a new line.
Develop a new version of a password manager that can keep track of all the passwords that have been set for the respective accounts.
Write an application in Django for a hospital receptionist that has features, including checking if the patient is already registered. If not register the patient.
Engage with industry experts, benefit from their years of accumulated knowledge & experience. Enhance your capabilities in a way that textbooks and conventional learning methods might not fully capture.
Enhance your resume, validate your competence & commitment making you a more attractive candidate to potential employers and increasing your chances of career advancement.
Curriculum that aligns with industry needs and standards, preparing students with the skills they need to succeed in the professional world.
Offers every individual the freedom and flexibility to pursue learning on their terms. It enables access to quality content, upskill, and accommodate diverse learning styles and preferences without the limitations of time and place.
Enables learners to apply theoretical knowledge, develop practical skills, and navigate real-world complexities.
Hemanth Chakka