Python + SQL Training

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Become Perfect in Logical Programming

Ameerpet Technologies Provides the Best Full Stack Python Training in Hyderabad & Online With complete JOB Assistance. Learn Full Stack Python Course From Basics to advanced and get real- time experience.

Python Course Training

Python(Core and Advance+ SQL)

Variables and Data Types:
  • Integer, Float, String, Boolean
  • Lists, Tuples, Sets, Dictionaries
  • Conversion functions
Input and Output:
  • Reading input from the user
  • Printing formatted output
  • Arithmetic, Comparison, Logical
  • Assignment, Identity, Membership
Control Structures:
  • if, elif, else statements
  • loops and branching statements
  • Defining functions
  • Parameters and arguments
  • Recursion and Lambda expressions
Object-Oriented Programming (OOP):
  • Classes and objects
  • Inheritance, encapsulation, and polymorphism
  • Constructors and destructors
  • Class attributes and instance attributes
Data Structures:
  • Lists: Indexing, slicing, appending, modifying
  • Tuples: Immutable sequences
  • Sets: Unordered, unique elements
  • Dictionaries: Key-value pairs
String Manipulation:
  • String methods
  • String formatting
File Handling:
  • Opening, reading, writing, and closing files
  • Working with file paths
Exception Handling:
  • try, except, else, finally blocks
  • Custom exceptions
Modules and Packages:
  • Creating and importing modules
  • Using third-party packages (e.g., using pip)
Standard Library:
  • Built-in modules (e.g., os, sys, math, datetime)
  • Standard library modules (e.g., random, json, csv)
  • Decorators and Generators:
  • Creating and using decorators
  • Generator functions and the yield keyword
Concurrency and Multithreading:
  • Threading and the Global Interpreter Lock (GIL)
  • Multiprocessing for parallel execution
Regular Expressions (Regex):
  • Pattern matching and searching using regex
List Comprehensions and Generators:
  • Concise ways to create lists and generators
Functional Programming:
  • Map, filter, and reduce functions
  • First-class functions and closures
File I/O and Serialization:
  • Reading and writing binary data
  • JSON and Pickle for serialization
Databases and SQL:
  • Connecting to databases (e.g., SQLite, PostgreSQL, MySQL)
  • Performing CRUD operations with SQL and Python libraries
 Data Analysis and Visualization:
  • Pandas for data manipulation
  • Matplotlib, Seaborn, or Plotly for data visualization
Machine Learning and Data Science:
  • Libraries like NumPy, SciPy, scikit-learn
  • Jupyter notebooks for interactive data analysis


₹ 4000/-