Python Programming 2021 Full Coverage: A Practical Approach by Xavier Chelladurai

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Python Programming 2021 Full Coverage: A Practical Approach by Xavier Chelladurai

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What you’ll discover

Python Programming Programming Methodologies
Create a program to solve a given problem.
Python Syntax and Key Libraries
Matplotlib Data Visualization using Python Image Library (PIL)
Use the Python library to play music.
The Pandas Library
Functions from the Math Library
NumPy library for Python
Python solutions derived from university exam questions
Discussion about Python job interview questions and related issues

In this course, we teach Python Language in a hands-on manner. Extensive explanations are provided for each topic and terminology, along with a practical example. We present the appropriate level of theory, explain the syntax, and show with multiple sample programs for each topic. The Tutorial Videos provide guidance on Job Interview questions as well as solutions to challenges seen in university test papers. The following subjects will be covered initially, with plenty of practical examples:
1. Python Introduction and Fundamentals 2. Assignment Statements
3. Statements of Input and Output
4. Functions of the Math Library
5. Datetime Library – date, time, datetime, timedelta, and timedeltadelta
6. IF statements and other control structures
For Loop and While Loop are examples of loop structures.
Lists, tuples, and sets
String Manipulation 9
User-Defined Functions 10
11. Data Files – File Management
Drawing using the Python Image Library (PIL)
13. Matplotlib Data Visualization
14. Database Administration using Python Pandas Data Frames
15. Making Music using Python Scripts

Python libraries such as Math, Pandas, Matplotlib, NumPy, and PIL are introduced.
Examples are picked for each idea so that the student may readily comprehend the subject. Math constants, number functions, trigonometric functions, logarithmic functions, distance, permutation combination, and LCM / GCD are all introduced in Math Library. We used a basic database to demonstrate Pandas Dataframe and described all of the data frame methods and commands. We demonstrated the library’s features by presenting PIL, such as loading and displaying a picture, image editing operations such as Sharp, Blur, and embodying. We’ve created programs that can draw rectangles and other forms on a photo. To create text on the image, we utilized the PIL.ImageFont package.
We’ve provided Python scripts in Matplotlib for creating line graphs, bar charts, scatter diagrams, horizontal bars, and pie charts.
We’ve included tutorial videos for explaining answers to difficulties asked in university exams throughout the world.

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