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This Python course in Coimbatore is designed by industry experts and covers important Python concepts with hands-on practice to help you master this high in-demand technology. From the best Python classes in Coimbatore, you will learn various Python libraries and learn to code for big data applications. Enroll now in this Python training in Coimbatore and start your journey in the field of programming with an Industry-recognized Python certification.
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Course PreviewThis Python course in Coimbatore has everything you need to get certified in the Python domain. Besides, you will study concepts such as the Lambda function, Python data types, MySQL, NumPy, exception handling, Matplotlib, SciPy, and others in great detail.
Below topics are covered in this Python course from the best Python training institute in Coimbatore:
No, there are no mandatory prerequisites for participating in the Python course in Coimbatore. While the certification training covers all the essential aspects of Python programming, having prior experience in this field can certainly be an advantage during the course.
| Project Name | Industry | Objective |
| Server Logs/Firewall Logs | Security | Apply Flume to load server logs into a cluster, and refine them with the help of Ambari, HCatalog, and Pig Script |
| Building a Password Generator | Internet | Generate a strong and secure password using Python |
| Machine Learning: Prediction of Stock Prices | Stock Market | Build a predictive data model for future stock prices by implementing Machine Learning and Python |
| Impact of Prepaid Plans on the Preferences of Investors | Finance | In the prepaid model preferences, identify the most impactful factors, and study the variables that correlate highly with them |
| Python Web Scraping for Data Science | Web Development | Use Python for the process of web scraping |
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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 Coimbatore Projects
You can earn this Python certification in Coimbatore once you:
Yes. It is definitely worth it to get a Python certification in Noida as it is one of the most commonly used and sought-after programming languages today. Most IT jobs of the day demand the basic knowledge of Python programming language for coding and developing purposes.
Following are some of the significant steps that you should take to get certified in Python from a reputed institute:
Once you complete the python training with us, you will be awarded the course completion certificate from us. This certification will be valid throughout your lifetime, and major companies around the globe recognize it.
Upon the completion of this python course with us and after passing the exam, you will get the Python course completion certificate through our Learning Management System (LMS). You will be able to download and share this certificate from the LMS using LinkedIn or email.
Land Your Dream Job Like Our Alumni
Intellipaat offers an exclusive Python course in Coimbatore for professionals who want to expand their knowledge base and start a career in this field. There are many reasons for choosing Intellipaat:
Intellipaat has been serving Python enthusiasts with its well-structured Python training in Coimbatore from every corner of the city. You can be living in any locality of the city, be it Gandhipuram, Kovaipudur, Pollachi Road, Saravanampatti, R.S Puram, Saibaba colony, Racecourse, Avinashi Road, Thondamuthur, Singanallur, or anywhere. You can have full-access to our Python training in Coimbatore sitting at home or office 24/7.
Yes, apart from Python, Intellipaat offers other courses like Big Data Hadoop, Data Science, Machine Learning, Artificial intelligence, Python Certification Course, 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.
There are numerous developer 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:
No. It is not necessary for you to have any prior knowledge of coding before opting for the Python training program in Coimbatore with Intellipaat. However, it may be beneficial if you know the basics of any programming language.
You can enroll in this best Python course in Coimbatore offered by Intellipaat by choosing the batch that is convenient to you and making the payment for it.
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.