GET FREE DEMO Apponix Technologies Menu All courses Placements Corporate Training Job Oriented Courses Our Instructors Contact Us About Us Our Team Blog Python Programming Python Programming WHAT IS PYTHON? Python is an object-oriented, high-level, interpreted programming language with dynamic semantics. Its high-level dynamic linking and dynamic typing combined with integrated data structure, make it very attractive for the rapid growth and development of applications, as well as for use as a scripting or paste language to connect existing components. Python's simple and easy-to-learn syntax emphasizes readability and, therefore, reduces the cost of program maintenance. Python supports packages and modules, which encourages the reuse of code and modularity of the program. The wide standard library and the Python interpreter can be freely distributed and are available in binary or source format free of charge for all major platforms. Often, because of the increased productivity it provides, programmers fall in love with Python. As there is no compilation step, the altering test-troubleshooting cycle is fantastically quick. Debugging Python programs is easy: an error or incorrect entry will never cause a segmentation error. On the other hand, when the interpreter discovers an error, it generates an exception. When the program does not catch the exception, the interpreter prints a stack trace. A source-level debugger allows the inspection of local and global variables, the evaluation of arbitrary expressions, the establishment of breakpoints, traversing the code one line at a time, and so on. The debugger is written in Python, which demonstrates the introspective power of Python. On the other hand, often the fastest way to debug a program is to add some print declarations to the source. The fast editing-test-debug cycle makes this simple approach very effective.

1. Introduction to Python
Python is a versatile and beginner-friendly programming language used
for web development, data analysis, artificial intelligence, and more.
by Kevin Chauhan

2. Basic syntax and data types
Python Syntax
The syntax of Python is simple and easy to
learn, making it suitable for beginners.
Data Types
Python supports various data types including
numbers, strings, lists, and dictionaries.
Variables
Understanding the concept of variables is
essential for working with data in Python.
Control Structures
Python provides control structures like if
statements and loops to manage program
flow.

3. Control flow and loops
• If statements: Decision-making structures, execute code based
on conditions
• For loops: Iterate over a sequence or range
• While loops: Repeatedly execute a block of code while a
condition is true

4. Functions and Modules
1 Definition of Functions
Functions are blocks of code that carry out a specific task when called.
2 Importing Modules
Modules are files containing Python code that can be used in other
programs.
3 Creating Modules
Modules can be created to organize functions and variables for reusability.

5. File handling and input/output
File handling in Python involves tasks such as
opening, reading, writing, and closing files.
Python provides easy and efficient ways to
manage files, making input/output operations
seamless.
Working with input/output involves handling data
streams, reading from and writing to files, and
managing file pointers with precision.

6. Object-oriented programming in Python
Class and Objects
Classes are blueprints for
objects. Objects are instances
of classes.
Inheritance and
Polymorphism
Inheritance allows a new
class to take on the attributes
and methods of an existing
class. Polymorphism allows
methods to be redefined in
the subclass.
Encapsulation and
Abstraction
Encapsulation bundles the
data and methods that
operate on the data into a
single unit. Abstraction hides
the complex implementation
details and only reveals the
necessary features.

7. Error handling and exceptions
Understanding Errors
Recognize and categorize different
types of errors in Python programs.
Try-Except Blocks
Utilize try-except blocks to handle
anticipated errors gracefully.
Raising Exceptions
Create custom exceptions and raise them based on specific conditions.

8. Working with Databases in Python
Database
Connection
Establish connection
to databases for data
retrieval and
manipulation.
SQL Queries
Write and execute
SQL queries to
interact with the
database.
Data Modeling
Design and create
database tables and
define relationships.
Data Storage
Store and retrieve
data from databases
using Python.

9. Web scraping and data manipulation
Web Scraping Data Manipulation
Extracting data from websites using Python
libraries.
Transforming, cleaning, and analyzing the
extracted data.
Utilizes Beautiful Soup and requests libraries. Includes filtering, sorting, and generating
insights.
Technique for collecting valuable information
from the web.
Enhancing data for meaningful interpretation
and decision-making.
A modern, sleek workspace with a computer displaying web data on one screen while manipulating and
analyzing data sets on another. The scene is illuminated by a soft, warm light, creating a focused and
analytical atmosphere.

10. Final Project and Assessment
Project Deadline
Deadline
Submit your project by the specified deadline for
assessment.
Assessment
Evaluation
Your final project will be assessed based on
predefined criteria.
The final section focuses on the completion and evaluation of a Python project. You'll need to submit the
project by the specified deadline for evaluation, where it will be assessed based on predefined criteria.
This is a culmination of all the knowledge and skills acquired throughout the training.