Python Programming Training and Course

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Course
Duration

60

hours

Advantages of Python Programming Course

₹ 2,50,000+

Average Salary per Annum in India

$ 50,000

Average Salary per Annum in USA

15,00,000

Job Vacancies across the world

1,00,000

Python Developers in the world and the demand is increasing day by day

Why Choose Python Certification Programming

For all those who aspire to make a career in the IT world, Python has come around to being a widely known term. Python is counted as amongst the most powerful languages in programming and is known to have a powerful presence in each filed of computer science. Whether we talk about programming, GUI application development, data science, scientific research, web designing, game designing, hacking or data analytics, you are sure to find the presence of Python in each. With core and advanced python programming course, the chances of having a successful career in the IT sector gets higher. 

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Hiring Partners

We are globally connected with the top IT companies

We are connected with companies with different industries across the nation. Our dedicated placement cell is constantly striving to get more companies on-board

About Python Programming Course

Python is segregated into two parts:·Core Python – The fundamental course of Python is called Core Python. This is an introduction to the language and leads the learner to understand programming and coding to deepen your roots into Python. In Core python programming course, you will learn how to code in Python and all syntax of Python with real time examples.·Advanced Python – The Advanced Python Programming course will make you industry ready. You will understand advanced concepts of programming including Networking Tools, GUI applications (Tkinter), NumPy, Nimap, and Multithreading, web frameworks (Django), Urllib, SciPy, and OpenCV, among others. With the conclusion of the course, you will have become an expert in Python Programming.At GRRAS, you will not only be taught the theoretical aspects of Python but also the practical aspects with projects based on real life implementation. 

Python Programming

Tracks Regular Track Full Day(Fast Track)
Training Duration 60 hours 60 hours
Training Days 45 days 10 days
    • All About Python
      • Origin
      • History
      • scope of python
      • popularity of python
      • future of python
      • use of python in different emerging technologies of modern era
      • achievements of python
      • mega projects hosted in python
    • Python Installation and Environment Setup
      • Different Flavours of python like Ipython, Jpython, Cpython, PYPY etc
      • Development Environment and it’s Requirements
      • Installation on windows
      • Installation on linux
      • Installation on mac
      • Choosing best IDE for your coding purpose from IDLE, Jupyter, Spyder, PyCharm, vscode, vim
    • Writing first program in python
      • Using vim and command line creating first hello program in python
      • Using vscode or PyCharm for Integrated Development Environments
      • Using Jupyter Notebook and it’s features for fast, simple learning process
    • Syntax of python
      • Python coding Style
      • Indentation
      • Comments in python
      • Snake style coding
      • Keywords in python
      • Built-in functions in python
    • Data type and Data Structures
      • Numbers
      • Strings
      • List
      • Dictionary
      • Tuples
      • Sets
      • Frozen Sets
      • Type Casting
    • Advance Containers from collection module
      • Queues
      • Ordered Dictionary
      • Named Tuple
      • Default Dictionary
      • Counter
      • ChainMap
      • UserDict
    • Control Statements
      • Flow diagrams
      • If – else
      • Nested if else
    • Looping in Python
      • For Loop
      • While Loop
      • Break
      • Continue
      • Else with loop
    • Functions in Python
      • Built-in Functions zip, enumerate, eval, exec, min, max, ord, chr, sorted, reversed, len, sum, power, divmod etc.
      • Defining Custom Functions
      • Function Calling
      • Scope Resolution global, local, nonlocal scope
      • Code Reusability
      • Recursion
    • Advance Functions in Python
      • Lambda anonymous function
      • Map function
      • Reduce function
      • Filter function
      • Lazy Evaluation
    • Closures and Decorators in Python
      • Memorization using closures
      • Writing extensible functions using Decorators
      • Decorators to implement oops like functionality to functions
    • OOPS
      • Encapsulation
      • Abstraction
      • Data hiding
      • Data Security
      • Access Control
      • Inheritance
      • Polymorphism
      • Overriding
      • Operator Overloading
      • Classes
      • Objects
      • Implementing Data Structures using OOPs
      • Message Passing and Share Space in OOPs
    • Advance OOPS
      • Name Mangling in OOPs
      • MRO (Method Resolution Order)
      • Meta Classes
      • Slots
      • Properties
      • Class methods
      • Static methods
    • Implementation of Data Structures in Python
      • Implementing Stack
      • Implementing Queue
      • Implementing Link-List
    • Generators & Iterators in Python
      • Memory Optimization Techniques
      • Lazy Evaluation
      • Custom Generators & Decorators
      • Zip like generator objects and their working
    • Exception Handling
      • Exceptions and Errors
      • Built in Exceptions
      • Handling Exceptions
      • else keyword with exception
      • finally, keyword to define Clean Up Actions
      • Custom Exception using raise keyword
      • assert keyword for assertions
      • Creating Custom Exception Class
    • File Handling
      • Type of file formats and their significance
      • File Creation and writing data to files
      • Reading data from a file
      • Overwriting files
      • Dealing with excel sheets, csv files
      • Making data persistent to create real life projects
    • Data Serialization
      • Serialization and De-Serialization
      • Serializing python objects using pickle, json and shelve modules
      • Deserializing Object State to read data from byte file or from network
      • Storing Custom Objects to make state machines
    • Installing Third Party Modules in Python
      • Pip (Python Package Installer)
      • Installing packages and modules using pip
      • pypi (python package index) repository for package lookup
      • Offline installation of a package using pip
    • Database Connectivity
      • Concept of Data Base Management Systems
      • Using sqlite3 to store lite data in database like format
      • CURD (Create, Update, Read, Delete) Operation on sql table
      • Connecting python to a MariaDB or MySQL server using pymysql or mysql-client modules
      • Un-Structure Data Base Management systems like MongoDB
    • Python Installation and Environment Setup
      • Different Flavours of python like Ipython, Jpython, Cpython, PYPY etc
      • Development Environment and it’s Requirements
      • Installation on windows
      • Installation on linux
      • Installation on mac
      • Choosing best IDE for your coding purpose from IDLE, Jupyter, Spyder, PyCharm, vscode, vim
    • Modules and Packages in Python
      • Module name space
      • If __name__ == “__main__” in Python
      • Defining Custom Modules
      • Creating Packages in Python
      • Testing Packages
      • Importing and using custom packages
      • Adding custom modules to library
    • Standard Library in Python
      • Os and Sys Module to interact with Operating System
      • Shutil Module to copy, paste and delete files
      • Subprocess Module to execute commands&their output
      • Zlib for data compression
      • Time& Datetime Module fortime management
    • Graphical User Interface using Tk
      • GUI basics
      • Widgets like button, label, frame, canvas, radio buttons
      • Check Buttons, dropdown menus, scroll bars
      • Progress Bars, message box, text box, entry widget etc
      • Geometry Managers like place, grid, and pack
      • Dialog box, top level window implementation
    • Virtual Environment
      • What is Virtual Environment
      • Difference between Production and Development Environment
      • Package versions and their importance in projects
      • Creating a separate environment for Python Projects
      • Activating Virtual Environment
      • Installing Different Version of packages in different environments
      • txt file
      • README file
    • APIs
      • Application Programming Interfaces
      • Accessing Google place APIs
      • AccessingFacebook Graph API
      • Weather API& Others
    • GitHub
      • Self-Paced through video
    • Flask Web Framework of Python
      • Installation and Configuration of Flask
      • Hello World to web using Flask
      • Templates
      • Jinja2 Template Rendering (Include and Extending)
      • Handling GET and POST requests in Flask
      • Integrating HTML, CSS, Flask together
      • Web Forms
      • Cookies and Sessions in Flask
      • Database in Flask
    • Data Science& Machine Learning Overview
      • Data Science & Machine Learning Pipeline
      • Stats& Probability
      • Numpy, Pandas, Matplotlib
      • Machine Learning Implementation
    • Computer Vision
      • Image Processing
      • OpenCv Module
      • Face detection
    • Core Python Projects

      • Guesses Game – In these simple projects you will learn how to play with random numbers and basic idea of making a game. This projects also includes many small projects similar to this as Rock Paper scissor Game, Dice Rolling Simulator.
      • Tic Tac Toe – implementing Tic-Tac-Toe game in python using functions, loops, arrays, standard library to practice all those by implementing in this project.
      • Bank Application – This is a very interesting project which you will be creating by yourself in background while training. With each topic you will modify your project. This is a Bank Application in which you can perform certain tasks such as opening an account, Crediting and Debuting to account, adding account and managing database to handle persistent data.
      • Text Editor &nda

Core Python Project Highlights

 

GRRAS provides you Project Based Learning in which students gain knowledge and skills by working for an extended period of time to investigate and respond to an authentic, engaging and complex question, problem, or challenge. You will learn how to create projects, expert faculty help you in improving your coding and trained you to present your knowledge and projects.

       · Guesses Game – In these simple projects you will learn how to play with random numbers and basic idea of making a game. This projects also includes many small projects similar to this as Rock Paper scissor   Game, Dice Rolling Simulator.

       ·  Bank Application – This is a very interesting project which you will be creating by yourself in background while training. With each topic you will modify your project. This is a Bank Application in which you can perform certain tasks such as opening an account, Crediting and Debuting to account, Adding account and managing database to handle persistent data.

        ·   Text Editor – In this module with the help of OS, sys, shutil, time modules you will be able to create notepad like editor in which you can open, save, save as, create, update, rename, search, copy,  move files in your system.

        ·    Logo App – with the help of turtle module you will learn to make a logo project where you can create logo and graphical drawing.

        ·   Search Engine – with the help of re-module, os-module and string functions & formatting you will create a Google like search engine to search something into your system or files.

        ·   Quiz Maker

        ·  Data Entry and Processing projects

        ·  Pattern Finder using regx

        ·  File Sharing Application

 

Advance Python Project Highlights

GRRAS provides you Project Based Learning in which students gain knowledge and skills by working for an extended period of time to investigate and respond to an authentic, engaging and complex question, problem, or challenge. You will learn how to create projects, expert faculty help you in improving your coding and trained you to present your knowledge and projects.

        · Database Implementation - This is a huge and logical project where we have to make our own database using python files, OS modules, String Functions and Re-Modules plus using Multi-threading and all most all concepts of python.

        ·  A Daily Shop Product Enquiry Application – In this application we will make a application which will keep track of all day sale and left stock in a daily shop. Almost every retailer using this type of application so it will be fun to making such a application.

        ·  Graphical Chat Application – This is interesting isn’t it? In this project we will make whatsapp. Like GUI Chat application where in chatroom box 2 or more people can chat with each other as well as can share files.

        · Mailing Application (Mail Bombing, Automated Mail service) – In this project we will make email applications to automate mail sending and also we can make a mail bombing application to attack someone’s mail account.

        ·  Download Manager – In this project we will make a download manager which will be able to download almost any type of data directly and speedily using urllib module.

        ·  Map Application – This application will give description about the place which will be given as input.

        · Calculator - GUI calculator is an application to perform calculation. This will be done by tkinter module.

        · A Django Based Dynamic Web-site – This is totally your project where you will be making a real time web-site based on your idea using Django module.

        ·Polling and Blog Website - These websites are powered by Django module and have very advanced web-designing.

       · Port Scanner – Enter a IP address and a port range where the program will then attempt to find open ports on the given computer by connecting to each of them. On any successful connections mark the port as open.

Python Web Developers:

python Web Developers usually develop back-end components, connect the application with the other (often third party) web services, and support the front-end developers by integrating their work with the Python application. He is also responsible for writing server-side application logic

Research Analyst:

The research analyst perform research and gather data to help a company market its products or services, They collect data and information using a variety of methods, such as interviews, questionaries’, focus groups, market analysis surveys, and literature reviews.  

Data Analyst:

Data analyst is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. 

Software Developer:

A software developer is a person concerned with facets of the software development process, including the research, design, programming, and testing of computer software. Other job titles which are often used with similar meanings are programmer, software analyst, and software engineer.  

  • Placement Assistance
  • Live Project Assessment
  • Lifetime Career Support
  • Lifetime Training Membership (Candidate can join same course again for purpose of revision and update at free of cost at our any center in India or you can solve your query by online help)
  • Python Based Exam Scenario Preparation Included IN Training
  • Python Certification Preparation

Enrollment For Python

Job Oriented Program

Our Job Oriented Program is one of a kind and a unique program that\r\noffers you 100% job guarantee right after completing the certification\r\nprogram and training with us. It is one of our renowned programs for\r\nproducing job ready and experienced candidates with apt technical and\r\nsoft skill knowledge demanded in the prompt evolving IT and digital\r\nindustries.

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1 Review(s)

Anurag Dadhich (Mar 2023)

I am Anurag Dadhich currently working as Assistant System Officer at Rajasthan High Court.I am thrilled to write this testimonial for Grrass Solutions data analytics course! I recently completed the course and I have to say, it was a game-changer for me. From the very beginning, I was impressed by the course structure and the way our mentor Mr. Ravi Ramavat presented the material. The course was well-organized and the content was easy to follow, even for someone like me who had no prior experience in data analytics. His teaching style was engaging and informative, and he made sure to provide plenty of real-world examples and case studies to help us understand how data analytics can be applied in various industries and scenarios. What I appreciated most about the course was how hands-on it was. We had ample opportunities to practice our skills and work on real datasets, which helped us build our confidence and apply what we learned in a practical setting. Overall, I would highly recommend your data analytics course to anyone looking to gain a solid foundation in this field. Thank you for providing such a comprehensive and valuable learning experience!

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