#Python Developer

A Python Programmer writes clean, efficient, and scalable code using the Python programming language. They develop applications, automate tasks, and build software solutions across various domains. They also use Python for scripting, data processing, and integrating with databases or APIs. This versatile role is widely sought after in fields like software development, automation, AI, and data science.

Training Highlights

✅ LIVE & Interactive Training
✅ 100% Practical, Step-by-Step Learning
✅ Hands-On Coding Practice
✅ Python Analytics & Advanced Programming
✅ SQL Database Integration
✅ Real-Time Banking / Finance Project
✅ Interview-Oriented Preparation

Modules We Learn

✅ Module 1: Python Concepts
✅ Module 2: Python Analytics, Programming
✅ Module 3: Real-Time project

Course Duration: 6 Weeks

Course Content
FAQs

Python Programmer
Course Contents:

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Module 1: Python Concepts

Ch 1: Python Introduction

Python Introduction
Python Versions
Python Job Roles
Python for Data Analysts
Python for Data Engineers
Python for Data Scientists

Ch 2: Python Architecture

Python Architecture
PVM: Python Virtual Machine
Compiler
Byte Code
Execution Process
Resource Allocations
Python Implementations

Ch 3: Python Installations

Python Introduction
Python Installations
Anaconda Installation
Python IDE & Usage
Jupyter Notebooks

Ch 4: Python Print Statement

Python Print Statement
print(), print()
Testing Case Sensitivity
Single Line print()
Multi Line print()
print() with single quotations
Debug with AI (AI Assistants)

Ch 5: Python Variables

Python Variables
Assigning values
Purpose & Rules
Variable Value Reads
Multiple Variables & Print()

Ch 6: Python Operators

Athematic Operators
Python String Literals
Single, Double Quotes
Format Strings (f string)
Comparison, Indexing Operators

Ch 7: Python Data Types

Python Data Types
Integer, Float, String Data Types
Type Casting
Type Identification
Multi Value Assignments

Ch 7: Python Lists

Creating Python Lists
Printing List Items
Print List Slices
Length & Type
Empty Lists, Append
Loops, List Updates

Ch 8: Python Dictionaries

Python Dictionary
Indexing Dictionaries
Edit Key Values
Lists inside Dictionaries
Delete & Clear

Ch 9: Python Tuples

Python Tuples
Defining, Indexing
Length(), Type()
Mixed Values in Tuples
Overwriting Tuples

Ch 10: Python IF..ELSE Condition

If..Else conditions
if..elif..else & Shorthand if
composite conditions
Indent, pass statement
in & negation operators
range conditions

Ch 11: Python Loops

Python For Loop
For Loop @ Range
For Loop @ Sequence Values
While Loop, Exit Conditions
Nested Loops
Control Statements
Break, Continue, Paas

Ch 12: Python File Handling

File Handling, Activities
Loop, Write, Close Files
Appending, Overwriting
import os, path.exists
f.open, f.write
f.read, f.close

Module 2: Python Analytics, Programming

Ch 13: Python Dataframes

Dataframes: Creation
Pandas Dataframes
Dataframes From Single List
Dataframes from Dictionary
Display Dataframes, List Items
Identify, Replace Nulls, NumPy

Ch 14: Python SQL DB Access

SQL DB Access with Python
import pandas.DataFrame
pyodbc module, sql functions
SQL DB Cursor Connections
SQL Query Executions: DDL, DML
Filters, Aggregations with SQL
Dataframe Usage with SQL

Ch 15: Dataframe Transformations – 1

Dataframe Transformations
Concat & Append
Merge Function
Join with Multiple Dataframes
Data Type Checks, Conversions
Loops with Dataframes

Ch 16: Dataframe Transformations – 2

Pandas – Cleaning Data
Replace, Transform Columns
Data Discovery & Column Fill
Identify & Remove Duplicates
dropna(), fillna() Functions

Ch 17: Dataframe Transformations – 3

Python Functions for date, time
Now() Function in Python
date, time Functions
Calendar Data Generation

Ch 18: Python Functions & Lambda

Python Functions & Usage
Function Parameters
Default & List Parameters
Python Lambda Functions
Recursive Functions, Usage
Return & Print @ Lamdba

Ch 19: Python Modules

Import Python Modules
Built In Modules & dir
datetime module in Python
Date Objections Creation
strftime Method & Usage
imports & datetime.now()

Ch 20: Python User Inputs & TRY

Try Except, Exception Handling
Raise an exception method
TypeError, Scripting in Python
Python User Inputs
Python Index Numbers
input() & raw_input()

Ch 21: Python Dictionary

Dictionary Creation, Use
Hashing, Copy, Update
Deletion, Sorting
Len(), Inbuilt Functions
Variable Types – python List
Cmp() List Method
Python Dictionary Str(dict)
Programming Concepts
Loops and Sets
Realtime Usage

Ch 22: Python Packages

Package in Python
Creating a package
Package Imports, Modules
Sub Packages Creation
Sub Package Imports
Popular Packages in Python
NumPy & SciPy
Libraries in Python
Python Seaborn
Python framework

Ch 23: Exception Handling

Shell Script Commands
OS operations in Python
File System Shell Methods
os – math – cmd -csv – random
Numpy (numerical python)
Pandas – sys – Matplotlib
Common RunTime Errors
Python Custom Exception
Exception Handling
Try…Except…else, Try…finally

Ch 24: Python Class & Objects

Class variables, Instances
Built in Class Attributes
Objects – Constructors
Modifiers – Self Variable
Python Garbage Collections
Hierarchical Inheritance
Multilevel, Multiple, Hybrid
Overloading & OverRiding
Polymorphism– Abstraction

Ch 25: Regular Expressions

Regular Expression
Regular Expression Patterns
Literals – Repetition Cases
Groups andGrouping
w+ and ^ , \s Expressions
re.split function
Regular expression methods
re.match() in Regular Expr
re.search(), re.findall for Text

Ch 26: Multi-Threading

Python Multi-Threading
Thread Synchronization
Python Gil & Programming
Thread Control Block (TCB)
Stack Pointers & App Usage
Program Counters in Realtime
Thread State Concept
Python Exception Handling

Ch 27: Python TKinter

Tkinter GUI Program
Components & Events
Adding Controls in Tkinter
Radio & Check Buttons
Tkinter Forms in Realtime
List Boxes, Menu, ComboBox
Mainloop () & Functions

Ch 28: Python Web & IoT Intro

Python Web Frameworks
Django: Advantages
Web Framework
MVC and MVT – Django
Web Pages using python
HTML5, CSS3 usage
PYTHON Bottle & Pyramid
Falcon; smart_open in python

Real-Time Project – Banking / Finance Data Analytics
Project Objective

Build an end-to-end Python-based data-processing and analytics solution using realistic Banking
/ Finance datasets.

Project Activities
Raw Data Sources

Python Data Ingestion
Data Validation
Data Cleaning
Pandas DataFrames
Data Transformations
SQL Database Integration
Business Analysis
Final Processed Dataset

Practical Skills Covered

Reading data from multiple sources
DataFrame creation and manipulation
Handling null and duplicate values
Data type conversions
Filtering and aggregating records
Merge, Join and Concat operations
SQL database connectivity
Exception handling
Reusable functions
Business-rule implementation
Preparing analysis-ready datasets

Module 3: Real-Time Project

Real-Time Project – Banking / Finance Data Analytics
Project Objective

Build an end-to-end Python-based data-processing and analytics solution using realistic Banking
/ Finance datasets.

Project Activities
Raw Data Sources

Python Data Ingestion
Data Validation
Data Cleaning
Pandas DataFrames
Data Transformations
SQL Database Integration
Business Analysis
Final Processed Dataset

Practical Skills Covered

Reading data from multiple sources
DataFrame creation and manipulation
Handling null and duplicate values
Data type conversions
Filtering and aggregating records
Merge, Join and Concat operations
SQL database connectivity
Exception handling
Reusable functions
Business-rule implementation
Preparing analysis-ready datasets

What is Python Programmer Job Role?

A Python Programmer writes, tests, and maintains code using Python to build applications, automate tasks, process data, or develop backend systems.

Key Tasks:

Develop software applications and APIs
Write clean, efficient Python code
Automate processes and data handling
Work with frameworks like Django or Flask
Collaborate with teams for integration and deployment

What are the Job Roles of an Python Programmer?

Web Developer – Build web applications using frameworks like Django or Flask.
Automation Engineer – Automate manual tasks, scripts, and processes.
Data Analyst/Engineer – Handle, clean, and process data using Python.
Backend Developer – Develop APIs and server-side logic.
Software Developer – Build Python-based software solutions and tools.