• Built-in Data Types in Python
• Learn Classes, Modules, Str(String), Ellipsis Object, Null Object, Ellipsis, Debug
• Basic Operators, Comparison, Arithmetic, Slicing and Slice Operator, Logical, Bitwise
• Loop and Control Statements: while, for, if, break, else, continue

Hands-on Exercise –
1. Write your first Python program
2. Write a Python Function (with and without parameters)
3. Use Lambda expression
4. Write a class
5. Create a member function and a variable
6. Create an object
7. Write a for loop

• How to write OOP concepts program in Python
• Connecting to a database
• Classes and objects in Python
• OOPs paradigm, important concepts in OOP like polymorphism, inheritance, encapsulation
• Python functions, return types and parameters
• Lambda expressions

Hands-on Exercise –
1. Creating an application that helps to check balances, deposit money, and withdraw money using the concepts of OOPs

• Understanding the database, need for database
• Installing MySQL on Windows
• Understanding database connections using Python

Hands-on Exercise – Demo on database connection using Python and pulling the data.

• Introduction to arrays and matrices
• Broadcasting of array math, indexing of array
• Standard deviation, conditional probability, correlation and covariance

Hands-on Exercise –
1. How to import the NumPy module?
2. Creating an array using ND-array
3. Calculating standard deviation on an array of numbers
4. Calculating the correlation between two variables

• Introduction to SciPy
• Functions building on top of NumPy, cluster, linalg, signal, optimize, integrate, subpackages, and SciPy with Bayes’ Theorem

Hands-on Exercise –
1. Importing of SciPy
2. Applying Bayes’ theorem to the given dataset

• How to plot graphs and charts with Python?
• Various aspects of line, scatter, bar, histogram, 3D, the API of Matplotlib, and subplots

Hands-on Exercise –
1. Deploying Matplotlib for creating Pie, Scatter, Line, and Histogram

• Introduction to Python dataframes
• Importing data from JSON, CSV, Excel, SQL database, NumPy array to dataframe
• Various data operations like selecting, filtering, sorting, viewing, joining, combining

Hands-on Exercise –
1. Working on importing data from JSON files
2. Selecting record by a group
3. Applying filter on top, viewing records

• Introduction to Python dataframes
• Importing data from JSON, CSV, Excel, SQL database, NumPy array to dataframe
• Various data operations like selecting, filtering, sorting, viewing, joining, combining

Hands-on Exercise –
1. Demo on Exception Handling with an Industry-Based Use Case

• Introduction to Thread, the need of threads
• What are thread functions?
• Performing various operations on thread like joining a thread, starting a thread, and enumeration in a thread
• Creating a Multithread, finishing the multithreads
• Understanding race condition, lock, and synchronization

Hands-on Exercise –
1. Demo on Starting a Thread and a Multithread and then performing multiple operations on them

• Introduction to modules in Python, the need for modules
• How to import modules in Python
• Locating a module, namespace, and scoping
• Arithmetic operations on Modules using a function
• Introduction to the search path, global and local functions, filter functions
• Python packages, import in packages, various ways of accessing the packages
• Decorators, pointer assignments, and Xldr

Hands-on Exercise –
1. Demo on Importing the modules and performing various operations on them using arithmetic functions
2. Importing various packages, accessing them, and then performing different operations on them

• Introduction to web scraping in Python
• Installing beautiful soup
• Installing Python parser lxml
• Various web scraping libraries, beautiful soup, scrapy Python packages
• Creating soup object with input HTML
• Searching of tree, full or partial parsing, output print

Hands-on Exercise –
1. Installation of beautiful soup and lxml Python parser
2. Making a soup object with input HTML file
3. Navigating using Py objects in the soup tree