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Enroll in the Python course in Trichy to gain coveted Python skills. Hone your expertise in utilizing packages such as Matplotlib, SciPy, pandas, NumPy, and more. This Python training in Trichy will teach you to code in Python for Hadoop and Spark, enabling you to earn a Python certification and hands-on experience through real-world projects.
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Course PreviewThis Python certification course in Trichy will provide you with insights into the decade’s high-level, general-purpose dynamic programming language. The Python course covers both fundamental and advanced concepts of Python.
Anyone with following job profiles can enroll in this Python programming course:
| Criteria | C++ | Java | Python |
| Ease of Use | Verbose | Verbose | Simpler and dynamically typed |
| Scalability | Platform-depended | Cross- platform | Cross-platform |
| Deployment | Android and web application | Big Data | Data Science and Machine Learning |
| Average Salary | US$78,368 | US$87,424 | US$103,492 |
This Python course training includes real-life and industry-based projects that will help you gain hands-on experience, and you will be executing these projects in an online Python lab.
| Project Name | Industry | Objective |
| Python Web Scraping for Data Science | Web development | Introduction to the process of web scraping using Python |
| Create a password generator | Internet | To generate a password using Python code which would be tough to guess |
| Impact of pre-paid plans on the preferences of investors | Finance | To find the most impacting factors in preferences of pre-paid model and to identify which all are the variables highly correlated with impacting factors |
| Machine Learning – Prediction of stock prices | Stock market | This project focuses on machine learning by creating a predictive data model to predict future stock prices |
| Server logs/Firewall logs | Security | The process of loading the server logs into the cluster using Flume. It can then be refined using Pig Script, Ambari, and HCatalog |
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Python Basic Constructs
Exception Handling
Matplotlib
OOPS in Python
Multi-threading
Python for Apache Spark
Pandas NumPy & SciPy
Web Scraping
Packages & Functions
Database Connections
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1.1 Introduction to Python Language
1.2 Features and the advantages of Python over other programming languages
1.3 Python installation – Windows, Mac and Linux distribution for Anaconda Python
1.4 Deploying Python IDE
1.5 Basic Python commands, data types, variables, keywords and more
Hands-on Exercise – Installing Python Anaconda for Windows, Linux, and Mac.
2.1 Built-in data types in Python
2.2 Learn classes, modules, Str(String), Ellipsis Object, Null Object, Ellipsis, Debug
2.3 Basic operators, comparison, arithmetic, slicing and slice operator, logical, bitwise
2.4 Loop and control statements while, for, if, break, else, continue.
Hands-on Exercise –
1. Write your first Python program
2. Write a Python Function (with and without parameters)
3. Use Lambda expression
4. Write a class
5. Create a member function and a variable
6. Create an object
7. Write a for loop
3.1 How to write OOP concepts program in Python
3.2 Connecting to a database
3.3 Classes and objects in Python
3.4 OOPs paradigm, important concepts in OOP like polymorphism, inheritance, encapsulation
3.5 Python functions, return types and parameters
3.6 Lambda expressions
Hands-on Exercise –
1. Creating an application that helps to check balances, deposit money, and withdraw money using the concepts of OOPs
4.1 Understanding the database, need for database
4.2 Installing MySQL on Windows
4.3 Understanding database connections using Python
Hands-on Exercise – Demo on database connection using Python and pulling the data.
5.1 Introduction to arrays and matrices
5.2 Broadcasting of array math, indexing of array
5.3 Standard deviation, conditional probability, correlation and covariance.
Hands-on Exercise –
1. How to import the NumPy module?
2. Creating an array using ND-array
3. Calculating standard deviation on an array of numbers
4. Calculating the correlation between two variables
6.1 Introduction to SciPy
6.2 Functions building on top of NumPy, cluster, linalg, signal, optimize, integrate, subpackages, and SciPy with Bayes’ Theorem
Hands-on Exercise –
1. Importing of SciPy
2. Applying Bayes’ theorem to the given dataset
7.1 How to plot graphs and charts with Python?
7.2 Various aspects of line, scatter, bar, histogram, 3D, the API of Matplotlib, and subplots
Hands-on Exercise –
1. Deploying Matplotlib for creating Pie, Scatter, Line, and Histogram
8.1 Introduction to Python dataframes
8.2 Importing data from JSON, CSV, Excel, SQL database, NumPy array to dataframe
8.3 Various data operations like selecting, filtering, sorting, viewing, joining, combining
Hands-on Exercise –
1. Working on importing data from JSON files
2. Selecting record by a group
3. Applying filter on top, viewing records
9.1 Introduction to Exception Handling
9.2 Scenarios in Exception Handling with its execution
9.3 Arithmetic exception
9.4 RAISE of Exception
9.5 What is Random List, running a Random list on Jupyter Notebook
9.6 Value Error in Exception Handling.
Hands-on Exercise –
1. Demo on Exception Handling with an Industry-Based Use Case
10.1 Introduction to Thread, the need of threads
10.2 What are thread functions?
10.3 Performing various operations on thread like joining a thread, starting a thread, and enumeration in a thread
10.4 Creating a Multithread, finishing the multithreads.
10.5 Understanding race condition, lock, and synchronization
Hands-on Exercise –
1. Demo on Starting a Thread and a Multithread and then performing multiple operations on them
11.1 Introduction to modules in Python, the need for modules
11.2 How to import modules in Python
11.3 Locating a module, namespace, and scoping
11.4 Arithmetic operations on Modules using a function
11.5 Introduction to the search path, global and local functions, filter functions
11.6 Python packages, import in packages, various ways of accessing the packages
11.7 Decorators, pointer assignments, and Xldr
Hands-on Exercise –
1. Demo on Importing the modules and performing various operations on them using arithmetic functions
2. Importing various packages, accessing them, and then performing different operations on them
12.1 Introduction to web scraping in Python
12.2 Installing beautiful soup
12.3 Installing Python parser lxml
12.4 Various web scraping libraries, beautiful soup, scrapy Python packages
12.5 Creating soup object with input HTML
12.6 Searching of tree, full or partial parsing, output print
Hands-on Exercise –
1. Installation of beautiful soup and lxml Python parser
2. Making a soup object with input HTML file
3. Navigating using Py objects in the soup tree
Python Training in Trichy Projects
To obtain the Python certification in Trichy, you are required to successfully finish the entire Python training program. This includes completing all assigned assignments and projects and achieving a minimum score of 60 percent in the certification exam. Upon fulfilling these requirements and successfully completing the projects with the assistance of trainers, you will be awarded an industry-recognized Python course completion certification from us.
This is one of the top certification courses in Python, and it is designed by experts who aim to make you an expert in this programming language. Enroll in this Python online course today and take the first step toward getting an industry-recognized certification in it.
Yes. It is definitely worth it to get a Python certification, as it is one of the most commonly used and sought-after programming languages today. Most IT jobs of the day demand basic knowledge of the Python programming language for coding and development purposes.
Following are some of the significant steps that you should take to get certified in Python:
After successfully completing the Python training, you will be awarded a Python course completion certificate from us. This certification remains valid for a lifetime and is acknowledged by major companies globally.
Upon finishing this course with us and successfully passing the exam, you will receive the Python course completion certificate via our Learning Management System (LMS). You can download and share this certificate directly from the LMS using platforms like LinkedIn or email.
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Intellipaat offers courses on big data hadoop, data science, machine learning, artificial intelligence, Python for data science, data analytics, business analytics certification
If you are looking for free resources on Python then read our blogs on Python tutorial, and Python interview questions.
Python is a versatile language with a clear and simple syntax, making it easily understandable. Programmers use Python for tasks such as data analysis and machine learning in scalable production environments, making it an excellent choice for beginners without a programming background.
On the other hand, R is a statistical programming language that heavily relies on statistical models and specialized analytics. Data scientists prefer R for advanced statistical analysis, as it allows for concise code and impressive data visualizations with just a few lines. However, R is comparatively more complex for beginners to grasp compared to Python programming.
Yes. At Intellipaat, we offer one practice test that is designed keeping in mind the current market demands and the syllabus of the actual examination. This practice test aims to prepare you for the same by giving you an idea of the type of questions and the format.
There are numerous job opportunities available for both entry-level and experienced professionals who have gained skills in the Python programming language after completing the course with us. Some of the job roles that you will become eligible to apply for are as follows:
We provide both live online training and pre-recorded video lectures for Python. Enrolling in our online Python training gives you access to live sessions conducted by industry experts, and you also receive lifelong access to pre-recorded video lectures. On the other hand, choosing our self-paced course offers exclusive, lifelong access to pre-recorded video sessions but does not include access to live sessions conducted by our trainers.
Major organizations that are hiring Python developers and other professionals skilled in Python programming language are mentioned below:
Enrolling in the top Python course in Trichy is as simple as selecting a convenient batch and completing the payment.
You need not worry about missing a class. In the LMS, we provide recorded videos of each session so that learners can refer to them at any time. Our support team will also be available to assist you with any such concerns. So, if you miss any sessions, simply contact the support team. They will schedule an extra class and one-on-one meetings with your trainers to let you catch up.
Three technical 1:1 sessions per month will be allowed.
Intellipaat offers query resolution, and you can raise a ticket with the dedicated support team at any time. You can avail yourself of email support for all your queries. We can also arrange one-on-one sessions with our support team If your query does not get resolved through email. However, 1:1 session support is given for 6 months from the start date of your course.
Intellipaat provides placement assistance to all learners who have completed the training and moved to the placement pool after clearing the PRT (Placement Readiness Test). More than 500+ top MNCs and startups hire Intellipaat learners. Our alumni work with Google, Microsoft, Amazon, Sony, Ericsson, TCS, Mu Sigma, etc.
No, our job assistance is aimed at helping you land your dream job. It offers a potential opportunity for you to explore various competitive openings in the corporate world and find a well-paid job, matching your profile. The final hiring decision will always be based on your performance in the interview and the requirements of the recruiter.