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Python is increasingly the most chosen language in the IT ecosystem. It is probably the richest language because of the collection of cool libraries that are written for almost everything. Python training with CodeGnan will provide you with learning usage of NumPy, Pandas, Seaborn, Matplotlib, Plotly, Scikit-Learn, Machine Learning, Tensorflow, and more! If you are looking to enrich your career growth in IT then choosing Python will be the best decision for you. Python certification is the most sought after skill in the whole era of software programming languages. As the demand for Python programming language is increasing so rapidly, it will soon become the Next Must-Have skill for every person in the software industry.
Python is a high-level programming language for general purpose programming. It is the perfect language for someone trying to learn computer programming for the first time. Guido van Rossum created Python programming in 1991. Python is an open source programming language. Many applications like web, games, software development, Object Databases, Network Programming, Mobile applications and many more can build using python programming. Python programming supports both structured and object-oriented programming.
PYTHON TRAINING COURSE OBJECTIVE
Python programming language training main objective for the student is to develop primary programming skills up to the higher end to solve the different programming logic. A student can able to write a different type of logic at the end of the sessions. After learning python programming language course, the student can able to build web applications, database access and data analysis. After completing the python training, a student can able to attend any MNC Company interview and can solve the technical rounds both theoretically and practically. A student can able to build web pages and host in cloud servers which can be accessible by anyone in the world.
WHY PYTHON TRAINING IS REQUIRED?
Python has topped the charts in recent years when compared to programming languages like C, C++ and Java are widely being used by the programmers these days. Nowadays everything is related to data; the future is entirely on data so for manipulating or processing the information we need to upgrade our skills.
Python is the best programming language for processing the data in various stages. Python programming has a unique feature of integrating with any programming language. You can design a project frontend with PHP and integrate backend with python. Advanced technologies like NLP, AI, and Machine Learning are built using python. Education at Codegnan will assure you, the ability to code application by the end of the Python training.
40 Hours Instructor Led Training
Self-Paced Videos
Exercises & Projects
Certification & Job Assistance
Flexible Schedule
Lifetime Access & Upgrade
24/7 Lifetime Support
• Introduction to programming
• R or Python?
• Why Python for Data Science?
• Different job roles with Python
• Different Python IDEs
• Downloading and setting up python environment
Hands-On - Installing Python - IDLE
• Python input and output operations.
• Comments
• Variables, rules for naming variables
• Basic Data Types in Python
• Typecasting in python
Hands-On - Using comments, variables, data types, and typecasting in python program
• Arithmetic operators
• Assignment operators
• Comparison operators
• Logical operators
• Identity operators
• Membership Operators
• Bitwise Operators
Hands-On - Working with different data types in a program
• Creating strings
• String formatting
• Indexing
• Slicing
• String methods
Hands-On - Performing string operations
• Creating lists
• Properties of lists
• List indexing
• List slicing
• List of lists
• List Methods
• Adding, Updating & removing elements from lists
Hands-On - Slicing, Indexing and using methods on lists
• Syntax to create tuples
• Tuple properties
• Indexing on tuples
• Slicing on tuples
• Tuple methods
Hands-On - Working with tuples
• Syntax for creating sets
• Updating sets
• Set operations and methods
• Difference between sets, lists and tuples
Hands-On - Performing set operations in a program
• Syntax for creating Dictionaries
• Storing data in dictionaries
• Dictionaries keys and values
• Accessing the elements of dictionaries
• Dictionary methods
Hands-On - Creating dictionaries and using dictionaries methods
• Setting logic with conditional statements
• If statements
• If -else statements
• If-elif-else statements
Hands-On - Setting logic in programs using conditional statements
• Iterating with python loops
• while loop
• for loop
• range
• break
• continue
• pass
• enumerate
• zip
• assert
Hands-On - Iterating with loops in python
• Why List comprehension
• Syntax for list comprehension
• Syntax for dict comprehension
Hands-On - Using List and Dictionary comprehension
• What are Functions
• Modularity and code reusability
• Creating functions
• Calling functions
• Passing Arguments
• Positional Arguments
• Keyword Arguments
• Variable length arguments (*args)
• Variable Keyword length arguments (**kargs)
• Return keyword in python
• Passing function as argument
• Passing function in return
• Global and local variables
• Recursion
Hands-On - Creating our own functions,passing arguments and performing operations
• Lambda
• Lambda with filter
• Lambda with map
• Lambda with reduce
Hands-On - Working with lambda, filter,map and reduce in python
• Creating and using generators
Hands-On - Creating and using generators
• Creating modules
• Importing functions from different module
• Importing Variables from different modules
• Python builtin modules
Hands-On - Creating and importing Modules
• Creating packages
• Importing modules from package
• Different ways of importing modules and packages
• Working on Numpy,Pandas and Matplotlib
Hands-On - Creating and importing packages
• Syntax errors
• Logical errors
• Handling errors using try,except and finally
Hands-On - Handling Errors with try and except
• Creating classes & Objects
• Attributes and methods
• Understanding __init__ constructor method
• Class and instance attributes
• Different types of of methods
• Instance methods
• Class methods
• Static methods
• Inheritance
• Creating child and parent class
• Overriding parent methods
• The super() function
• Understanding Types of inheritance
• Single inheritance
• Multiple inheritance
• Multilevel inheritance
• Polymorphism
• Operator overloading
Hands-On - Creating classes, objects. Creating methods and attributes. Working with different methods. Using inheritance and polymorphism.
• date module
• time module
• datetime module
• time delta
• formatting date and time
• strftime()
• striptime()
Hands-On - working with date and time
• Understanding the use of regex
• re.search()
• re.compile()
• re.find()
• re.split()
• re.sub()
• Meta characters and their use
Hands-On - using a regular expression to search patterns
• Opening file
• Opening different file types
• Read,write,close files
• Opening files in different modes
Hands-On - Reading, Writing, Appending, opening and closing files.
• Installing BeautifulSoup
• Understanding web structures
• Chrome devtools
• request
• Scraping data from web using beautifulsoup
• scraping static websites
• Selenium
• Scraping dynamic websites using selenium
Hands-On - Scraping static and dynamic websites using beautifulsoup and selenium
• Getting started with Tkinter
• Understanding widgets in Tkinter
• Working with Tkinter widgets
Hands-on: Creating Checkbuttons, Radiobutton, Text Fields, and Entryboxes
• Accessing Database using sqlite3 and MySql
• Creating tables
• Insert Values
• Commit changes
• Query
• Update and Delete
Hands-on: Connecting and Querying the database
• Understanding API
• Working with Flask
Project 1
Building a Virtual Assistant - We will create a Virtual Assistant using Python, which will greet us, Open a Web browser, even do web scraping, and many more. Easy to learn and fun to do, more customizable.
web scraping Real Estate Website - We will build a web scraper that will scrape the data of the real estate listing (seller info, number of book, price, locality, the price per square fit, etc.) on makaan.com. We will see how easy it becomes to scrape tons of data using python rather than manually copy and paste.
Sending Automated Emails - We will build an application that will send automated emails on our behalf using python.
Project 2
1. Predict Stock future prices - Using machine learning techniques, we will try to predict the stock prices and movements. We will do feature engineering and try to predict the future stock prices accurately. Then we will evaluate our model’s performance on the given test dataset.
2. Sentiment Analysis on stock data - This project is related to our Predict Stock future prices projects. We will improve our model by using Natural Language Processing and doing sentiment analysis on stock prices.
Building a Virtual Assistant - We will create a Virtual Assistant using Python, which will greet us, Open a Web browser, even do web scraping, and many more. Easy to learn and fun to do, more customizable.
web scraping Real Estate Website - We will build a web scraper that will scrape the data of the real estate listing (seller info, number of book, price, locality, the price per square fit, etc.) on makaan.com. We will see how easy it becomes to scrape tons of data using python rather than manually copy and paste.
Sending Automated Emails - We will build an application that will send automated emails on our behalf using python.
1. Predict Stock future prices - Using machine learning techniques, we will try to predict the stock prices and movements. We will do feature engineering and try to predict the future stock prices accurately. Then we will evaluate our model’s performance on the given test dataset.
2. Sentiment Analysis on stock data - This project is related to our Predict Stock future prices projects. We will improve our model by using Natural Language Processing and doing sentiment analysis on stock prices.
Training on different technologies provided by Codegnan is a set of blended learning models that brings classroom learning experience with its world-class LMS. We understand the effort of students; thus, as a token of motivation, our training is honored by top leading industries like Microsoft and HP. After the successful completion of your Python certification course, you will be awarded Microsoft MTA certification.
Python has emerged as the standard language and has been called the "Next Big Thing" and a "Must" for Professionals. It is quite impressive that 41 top organizations in the world have adopted Python as their primary programming language in a very small span of time. Some of the big players like Quora, Facebook, YouTube, SlideShare, Dropbox, Pinterest, Reddit, and Netflix have most of their new code written in Python.
It is an open secret in the developer world that Google has now adopted Python as its secondary coding language, and has committed to using it more in its new product offerings. With Python, you will have an open door for various career prospects like Software Engineer Python Developer Research Analyst Data Analyst Data Scientist Software Developer.
7 YEARS+ EXPERIENCE IN DATA SCIENCE, DATA ANALYSIS - CEO AND FOUNDER OF CODEGNAN IT SOLUTIONS
He is a tech-expert with 7 years of industrial experience in Python, Data Analysis, Big Data, Machine Learning and NLP. He has 360 degrees of expertise in all these subjects. He is known for his practical approach to different real-time industrial problems. He is known for his great interest in helping students reach their true potential and scale greater heights. Believing in Problem-based teaching pedagogies, he left his job in Malaysia as a data engineer and came back to the newly born state to fill the void between students and the industry.
OPERATIONS HEAD AND DATA SCIENCE TRAINER CODEGNAN IT SOLUTIONS (OPC) PVT LTD
A Master in Computational Intelligence and also Data Science Consultant for Andhra Pradesh State Skill Development Corporation(APSSDC) blended with a passion for nurturing the meaning of education with technology. With expertise in Machine Learning, Data Analytics, Natural Language Processing, and Cloud Computing, he believes in teaching all functionalities to the core making his life's motto to train students to be a Data Scientist rather than a Data Engineer. With a vision of building a better society using technological innovation, he joined Codegnan to bring out and enrich the essence of Technical Education with industrial excellence. His ambition is to make Codegnan the Centre of Excellence towards LeadIndia 2020.
Following aspirants can opt for Python Certification Course: Data Scientists, Programming Enthusiasts, Project Managers Software developers, Software engineers, Technical leads Architects
There are no specific prerequisites to learn Python programming. A person with less or no programming knowledge can start learning Python.
As per the quick growth of data stored previously or currently utilized by industries, Python is also growing like a rapid-fire. Because of its small codes, Python has been successfully contributing to analyzing a large number of data sets across computer clusters through its high-performance toolkits and libraries. The growth of Python can be successfully seen in industries like Machine Learning, Artificial Intelligence, Natural Language Processing & Text processing, Data Science, Big Data. Networking, and so on.
After the successful completion of your Python Certification Course, you will be a Pythonist in a real manner, MTA certification is simply a cherry on the cake, and a quick job is what you need the most.
Python programming language training's main objective for the student is to develop a foundation of programming skills up to the higher end to solve the different programming logic. A student will be able to write a different type of logic at the end of the sessions. After learning a python programming language course, the student is able to build web applications, database access, and data analysis. After completing the Python training, a student will be able to attend any MNC Company interview and can solve the technical rounds both theoretically and practically. A student is able to build web pages and host in cloud servers which can be accessed by anyone in the world.
1.Python’s syntax is simple to learn, so both non-programmers and programmers can right away start programming in it.
2.Python is developed under an OSI-approved open source license, which makes it easier to use and distribute, including commercial purposes.
3.It provides large libraries that include fields like string operations, web service tools, operating system interfaces etc.
4.Python has built-in list and dictionary data structures which can be used to construct fast runtime data structures.
5.Syntax for python is easy to learn, hence programmers and even non-programmers can start programming right away.
You will get 24*7 support and lifetime access to the LMS where course material like presentations, installation guides & class recordings are available.
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