Hands-on Training from Experts

Foundation Training in
Programming in Python

This comprehensive course is designed for beginners and aspiring developers. Learn the fundamentals of Python, including variables, data types, control structures, and functions. Gain hands-on experience with coding exercises and projects. Whether you aim to pursue web development, data analysis, or automation, this course provides a strong foundation.

Program Features

Course Description

This course is aimed at complete beginners who have never programmed before, as well as existing programmers who want to increase their career options by learning Python. The fact is, Python is one of the most popular programming languages in the world – Huge companies like Google use it in mission critical applications like Google Search. And Python is the number one language choice for machine learning, data science and artificial intelligence. To get those high paying jobs you need an expert knowledge of Python and that’s what you will get from this course. By the end of the course you’ll be able to apply in confidence for Python programming jobs.

Course Intention and Outcome

  • Have a fundamental understanding of the Python programming language.
  • Have the skills and understanding of Python to confidently apply for Python programming jobs.
  • Acquire the pre-requisite Python skills to move into specific branches – Machine Learning, Data Science, etc.
  • Add the Python Object-Oriented Programming (OOP) skills to your resume.
  • Understand how to create your own Python programs.
  • Learn Python from experienced professional software developer

1. Introduction to Python

  • What is Python and history of Python
  • Unique features of Python
  • Python-2 and Python-3 differences
  • Install Python and Environment Setup
  • First Python Program
  • Python Identifiers, Keywords and Indentation
  • Comments and document interlude in Python
  • Command line arguments
  • Getting User Input
  • Python Data Types
  • What are variables
  • Python Core objects and Functions
  • Number and Maths

2. Control Statements

  • if-else
  • if-elif-else
  • while loop
  • for loop
  • break
  • continue
  • assert
  • pass
  • return

3. List, Ranges & Tuples in Python

  • Introduction
  • Lists in Python
  • More about Lists
  • Understanding Iterators
  • Generators, Comprehension and Lambda Expressions
  • Understanding and using Ranges
  • More About Ranges
  • Ordered set with tuples

4. Python Dictionaries and Sets

  • Introduction to the section
  • Python Dictionaries
  • More on Dictionaries
  • Set
  • Python Sets Examples
  • Class and Location Tracking
  • Turning on Class Tracking and/or Location Tracking
  • Create a Purchase Order
  • Ordered Sets with tuples

5. Input and Output in Python

  • Reading and writing text files
  • writing Text Files
  • Appending to Files and Challenge
  • Writing Binary Files Manually
  • Using Pickle to Write Binary Files

6. Python built in function

  • Python user defined functions
  • Python packages functions
  • Defining and calling Function
  • The anonymous Functions
  • Loops and statement in Python
  • Python Modules & Packages

7. Python Object Oriented

  • Overview of OOP
  • The self variable
  • Constructor
  • Types Of Variables
  • Namespaces
  • Creating Classes and Objects
  • Inheritance
  • Types of Methods
  • Accessing attributes
  • Built-In Class Attributes
  • Destroying Objects
  • Abstract classes and Interfaces
  • Abstract Methods and Abstract class
  • Interface in Python
  • Abstract classes and Interfaces

8. Exceptions

  • Errors in Python
  • Compile-Time Errors
  • Runtime Errors
  • Logical Errors
  • What is Exception
  • Handling an exception
  • try….except…else
  • try-finally clause
  • Argument of an Exception
  • Python Standard Exceptions
  • Raising an exceptions
  • User-Defined Exceptions

9. Python Regular Expressions

  • What are regular expressions?
  • The match Function
  • The search Function
  • Matching vs searching
  • Search and Replace
  • Extended Regular Expressions
  • Wildcard

10. Python Multithreaded Programming

  • What is multithreading?
  • Difference between a Process and Thread
  • Concurrent Programming and GIL
  • Uses of Thread
  • Starting a New Thread
  • The Threading Module
  • Thread Synchronization
  • Locks
  • Semaphore
  • Deadlock of Threads
  • Avoiding Deadlocks
  • Daemon Threads

11. Using Databases in Python

  • Python MySQL
  • Database Access
  • Install the MySQLdb and other Packages
  • Create Database Connection
  • CREATE, INSERT, READ Operation
  • DML and DDL Oepration with Databases

Tuition & Investment

Enrollment AmountRegistration AmountNo. of Installments
Rs. 500.00Rs. 9500.0--
Total AmountRs. 10,000.00
Fee w.e.f. June 2023 | This fee structure is for limited time and subject to revised up

Schedule and Enrollment

Monday to Friday | 5 Days a Week Classes | Weekdays

Limited Seats | Apply Now

Rs. 10,000.00

Not sure? Talk to our advisors



    Comprehensive Python Programming Vocabulary

    1. Python: A high-level, interpreted programming language known for its simplicity and readability.

    2. Variable: A named container that holds data and can change during the program’s execution.

    3. Data Types: Categories of data, such as integers, floats, strings, and lists.

    4. String: A data type used to represent text, enclosed in single or double quotes.

    5. Integer: A data type for whole numbers.

    6. Float: A data type for numbers with decimal points.

    7. List: A data structure that holds a collection of items, ordered and mutable.

    8. Tuple: Similar to a list but immutable.

    9. Dictionary: A collection of key-value pairs, used for mapping.

    10. Boolean: A data type representing either True or False.

    11. Conditional Statements: if, elif, and else statements for decision-making in code.

    12. Loop: A control structure that repeats a block of code, such as for and while loops.

    13. Function: A reusable block of code with a name, parameters, and a return value.

    14. Module: A file containing Python code, which can be imported and used in other programs.

    15. Library: A collection of modules that provide additional functionality.

    16. Import: The keyword used to bring modules into your Python program.

    17. Exception: An event that disrupts the normal flow of a program.

    18. Try-Except: A block for handling exceptions in code.

    19. File I/O (Input/Output): Reading from and writing to files.

    20. Object-Oriented Programming (OOP): A programming paradigm that uses objects and classes.

    21. Class: A blueprint for creating objects.

    22. Object: An instance of a class with attributes and methods.

    23. Method: A function defined inside a class.

    24. Inheritance: A mechanism in OOP where a new class inherits properties and behaviors from an existing class.

    25. Module/package: A way to organize Python code into separate files or directories.

    26. Virtual Environment: A self-contained environment to isolate Python projects and dependencies.

    27. List Comprehension: A concise way to create lists in Python.

    28. Lambda Function: An anonymous function defined using the lambda keyword.

    29. Map and Filter: Functions for applying operations to elements in a sequence.

    30. Recursion: A technique in which a function calls itself.

    31. Decorator: A design pattern to modify the behavior of functions or methods.

    32. API (Application Programming Interface): A set of rules for building software applications.

    33. HTTP Request: A message sent by a client to a web server, often used in web development.

    34. Database: A structured collection of data stored and accessed electronically.

    35. SQL (Structured Query Language): A domain-specific language for managing relational databases.

    36. Regular Expression (Regex): A pattern-matching language used for searching and manipulating strings.

    37. Debugging: The process of finding and fixing errors or bugs in code.

    38. IDE (Integrated Development Environment): A software application for code development.

    39. Version Control: Managing changes to code with tools like Git.

    40. Package Manager: Software for installing, updating, and managing Python libraries and packages (e.g., pip).

    41. Interpreter: Software that executes Python code.

    42. PEP (Python Enhancement Proposal): A design document providing information to the Python community or describing a new feature for Python.

    43. Global Variable: A variable defined outside of a function or class and accessible from any part of the code.

    44. Local Variable: A variable defined within a function or method and only accessible within that scope.

    45. Code: Instructions written in the Python language.

    46. Interpreter: A program that reads and executes Python code, line by line.

    Essential Editors and Compilers for Python Programming

    Here is a list of some popular editors and compilers commonly used for Python programming:
    Text Editors | Integrated Development Environment (IDE):
    1. Visual Studio Code (VS Code): A popular and highly extensible, free, open-source code editor from Microsoft. It offers excellent support for Python with a vast collection of extensions.

    2. PyCharm: PyCharm is a robust, full-featured Integrated Development Environment (IDE) specifically designed for Python. It offers code completion, debugging, and various tools for Python development. There’s a free community edition and a paid professional edition.

    3. Jupyter Notebook: Jupyter Notebook is great for data analysis and scientific computing. It provides an interactive environment for creating and sharing documents that combine live code, equations, visualizations, and narrative text.

    4. Spyder: Spyder is an open-source IDE designed for scientific computing and data analysis. It includes a code editor, an interactive console, and powerful tools for data exploration.

    5. Thonny: Thonny is an IDE designed for beginners. It comes with an integrated Python console and a simple debugger. It’s an excellent choice for those who are just starting with Python.

    6. Sublime Text: Sublime Text is a lightweight, highly customizable code editor that can be transformed into a Python-friendly environment using packages and themes.

    7. Atom: Atom is another free, open-source code editor that is highly customizable with packages and themes. It’s suitable for Python development once configured.

    8. Geany: Geany is a lightweight, open-source IDE that supports various programming languages, including Python. It’s known for its simplicity and speed.

    9. Emacs and Vim: These are powerful and highly configurable text editors that can be tailored for Python development using extensions and plugins.

    10. Eclipse with PyDev: Eclipse, a widely used IDE, can be equipped with the PyDev plugin to support Python development.

    11. IDLE (Python’s Integrated Development and Learning Environment): IDLE is included with the standard Python distribution. It provides a simple Python shell and basic code editor, making it a suitable choice for beginners.

       

    Compilers:

    1. PyInstaller: PyInstaller allows you to convert Python applications into standalone executables for Windows, macOS, and Linux. It packages the Python interpreter and all necessary dependencies, creating a single executable file.

    2. cx_Freeze: This tool can be used to freeze Python scripts into executables. It supports multiple platforms, including Windows, macOS, and Linux.

    3. Py2exe: Specifically designed for Windows, Py2exe converts Python scripts into Windows executable files. It’s a useful tool for creating standalone Windows applications.

    4. Py2app: For macOS users, Py2app is a utility to package Python scripts into macOS application bundles, making it easier to distribute Python applications on this platform.

    5. Nuitka: Nuitka is a Python compiler that converts Python code into high-performance, machine-level code. While it doesn’t produce standalone executables, it can significantly optimize Python programs.

    Remember that your choice of editor and compiler may depend on your specific needs, platform and personal preferences. Many of these tools are free and open source, allowing you to experiment and find the one that best suits your Python programming requirements.

    FAQ's

    How this Course will benefit in my Career?

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    What skills or education do I require to enroll in the Course?

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    Who Join this Training Program?

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    Do you provide a job guarantee after completion of Course?

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    Employment Opportunity after this Training Program?

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    How do I register for this Course?

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    Do I need a laptop/other things for in-person Training?

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    Does your training institute provide internships during the Training?

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    Training Certificate is valid or not?

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    How do I cover the topics discussed in the sessions I missed?

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    Can I get a refund if I can’t make it to the training due to some reasons?

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    What is the Registration Policy?

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