Dream Apps Technologies solutions

Python Course Syllabus
Our Python course syllabus is framed by our Industry experts. This Python course content covers all the latest topics from basics to advanced level like Python for Machine Learning, AI, Web development and Data Science.
Module 1: An Introduction to Python
• What can Python do?
• Why Python?
• Good to know
• Python Syntax compared to other programming languages
• Python Install
Module 2: Beginning Python Basics
• The print statement
• Comments
• Python Data Structures & Data Types
• String Operations in Python
• Simple Input & Output
• Simple Output Formatting
• Operators in python
Module 3: Python Program Flow
• Indentation
• The If statement and its’ related statement
• An example with if and it’s related statement
• The while loop
• The for loop
• The range statement
• Break &Continue
• Assert
• Examples for looping
Module 4: Functions& Modules
• Create your own functions
• Functions Parameters
• Variable Arguments
• Scope of a Function
• Function Documentations
• Lambda Functions& map
• n Exercise with functions
• Create a Module
• Standard Modules
Module 5: Exceptions Handling
• Errors
• Exception handling with try
• handling Multiple Exceptions
• Writing your own Exception
Module 6: File Handling
• File handling Modes
• Reading Files
• Writing& Appending to Files
• Handling File Exceptions
• The with statement
Module 7: Classes In Python
• New Style Classes
• Creating Classes
• Instance Methods
• Inheritance
• Polymorphism
• Exception Classes & Custom Exceptions
Module 8: Writing GUIs in Python (Tkinter)
• Introduction
• Components and Events
• An Example GUI
• The root Component
• Adding a Button
• Entry Widgets
• Text Widgets
• Check buttons
Module 9: Python SQL Database Access
• Introduction
• Installation
• DB Connection
• Creating DB Table
• INSERT, READ, UPDATE, DELETE operations
• COMMIT & ROLLBACK operation
• handling Errors

Best Data Science Program Topics

The Best Data Science Program outline is essentially the same, no matter if you choose to take an online course, a course in a traditional classroom, or a full-time university degree. Each course's projects could be different. Any data science course syllabus must, however, include the fundamental ideas of data science.

The Data Science Program Topics include:

Introduction to Data Science
Mathematical and Statistical Skills
Machine Learning
Artificial Intelligence
Coding
Applied Mathematics and Informatics
Machine Learning Algorithms
Data Warehousing
Data Mining
Data Visualization
Cloud Computing
Data Structures
Scientific Computing
Scholastic Models
Project Deployment Tools
Predictive Analytics and Segmentation
Exploratory Data Analysis

list of the most popular and best programming languages that will be in demand in 2023.

1. Javascript
2. Python
3. Go
4. Java
5. Kotlin
6. PHP
7. C #
8. Swift
9. R
10. Ruby
11. C and C++
12. Matlab
13. TypeScript
14. Scala
15. SQL
16. HTML
17. CSS
18. NoSQL
19. Rust
20. Perl

According to our 2022 CodinGame & CoderPad annual survey of HR professionals and developers, the top 10 in-demand programming languages are currently:

JavaScript (48% of respondents have a high demand for candidates with this skill)
Java (43%)
Python (39%)
C # (26%)
Typescript (25%)
C++ (24%)
PHP (18%)
C (13%)
Go (8.5%)
Kotlin (8%)