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Enroll in the Python course in Vijayawada and acquire valuable Python skills. Improve your proficiency in using essential packages like Matplotlib, SciPy, pandas, NumPy, and others. This Python training in Vijayawada will instruct you in Python coding for Hadoop and Spark, providing the opportunity to earn certification and hands-on experience through real-world projects.
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Course PreviewThis top Python certification training in Vijayawada is a comprehensive program that covers Python for deep learning, data science, web development, and more. The Python course is designed by industry-experienced trainers.
Individuals with the following job profiles are eligible to enroll in this Python programming course:
You don’t need any specific knowledge to learn Python. Some basic knowledge of programming can help you.
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 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 Vijayawada Projects
To acquire the Python certification, complete the training program, assignments, projects, and pass the exam. Upon achievement, you’ll receive an industry-recognized Python certification.
Absolutely. Attaining a Python certification holds tremendous value, given Python’s status as one of the most extensively used and in-demand programming languages today. A foundational understanding of Python programming is essential for the majority of contemporary IT roles, especially those involving coding and development tasks.
To achieve certification as a Python professional, explore an online course offered by a reputable institute. Develop expertise in Python concepts, libraries, and practical applications through assignments and projects. Upon finishing the course, you’ll receive a certification demonstrating your proficiency to potential employers.
Upon completing the Python training, you will be awarded a Python course completion certificate. This certification is valid for a lifetime and recognized by major companies worldwide.
Upon completion of this Python course in Vijayawada  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.
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Intellipaat offers courses on big data hadoop, data scientist course, machine learning, artificial intelligence, Python for data science, data analyst course, business analytics certification
If you are looking for free resources on Python then read our blogs on Python tutorial, and Python interview questions.
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 offer two options for Python training: live online sessions and pre-recorded video lectures. Enrolling in our live online Python training provides access to interactive sessions led by industry experts, and you also receive lifelong access to pre-recorded video lectures. Conversely, opting for our self-paced course grants 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:
Python is widely employed in backend development and remains a favored choice for beginners due to its ease of understanding and application. While it shares similarities with Ruby, Python requires less effort for coding. Its user-friendly nature enables learning without the need for prior familiarity or skills in any other programming language.
You can enroll in this best course offered by Intellipaat by choosing the batch that is convenient to you and making the payment for it.
You don’t have to be concerned about missing a class. We offer recorded videos for each session through our Learning Management System (LMS), enabling learners to review them at their convenience. Our support team is available to address any concerns you may have. If you happen to miss any sessions, just reach out to the support team. They will arrange an additional class and one-on-one meetings with your trainers to help 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.