-
Theory, Lab programs, and Tutorials on Job Interview Questions and Solutions of problems from University Exam papers
What you'll learn:- Python Programming
- Programming Paradigms
- Develop a program for a given problem
- Python Syntax and important Libraries
- Python Image Library(PIL)
- Data Visualization with Matplotlib
- Play Music using Python library
- Pandas Library
- Math Library functions
- Python NumPy library
- Solutions for Python problems from University exam questions
- Discussion on Job Interview questions on Python and related topics
In this course, we teach Python Language using a practical approach. For every concept and syntax, elaborate details are given with a practical example. For every topic, we introduce the required. level of theory, explain the syntax, and illustrate using several example programs. The Tutorial Videos give coaching on Job Interview questions and solutions for problems from university examination papers. The following topics first with a sufficient number of practical examples:
1. Introduction and basics of to Python
2. Assignment Statements
3. Input Statement and Output Statements
4. Math Library functions
5. Datetime Library - date, time, datetime, timedelta
6. Control structures such as IF statement
7. Loop Structures such as For Loop and While Loop
8. List, Tuple, and Set
9. String Manipulation
10. User-Defined Functions
11. Data Files - File Manipulation
12. Drawing with Python Image Library (PIL)
13. Data Visualization using Matplotlib
14. Database Management using Python Pandas Data Frames
15. Playing Music with Python programs
We introduce some important Python Libraries such as Math, Pandas, Matplotlib, NumPy, and PIL.
Examples are chosen for each of the concepts so that the student understands the concept easily. In Math Library, we introduce all the important Functions such as Math constants, number functions, trigonometric functions, logarithmic functions, distance, permutation combination, and LCM / GCD. In introducing Pandas Dataframe, we have used a simple database and explained all the data frame methods and commands. By introducing PIL, we have illustrated the library capabilities such as load and display a picture, Image processing operations such as Sharp, Blur, and embodying. We have written programs for drawing rectangles and other shapes on a picture. We have used PIL.ImageFont library to write text on the image.
In Matplotlib, we have introduced Python programs for drawing line graphs, bar charts, scatter diagrams, horizontal bars, and pie chart.
We have added Tutorial videos for discussing the solutions for problems asked in university examinations globally.
Overview
