Online course detail
Curriculum
- Python Overview
- About Interpreted Languages, Advantages/Disadvantages of Python, pydoc.
- Starting Python, Interpreter PATH, Using the Interpreter
- Using Variables, Keywords, Built-in Functions, Strings, Different Literals, Math Operators and Expressions, Writing to the Screen, String Formatting, Command Line Parameters and Flow Control.
A high-level, all-purpose programming language is Python. Its design philosophy strongly emphasizes code readability through the use of off-side rule-based considerable indentation. In addition, python uses garbage collection and has dynamic typing.
Read:- Python Tutorial For Beginners
Every computer language, including Python, contains built-in data types. Data types specify the programming flow and provide details about the various types of variables.
Numbers : Python supports four numerical types > int (signed integers), long (long integers), float (floating point real values), complex ( complex numbers).
- In Python everything is object & String are an object too.
- Accessing values in String.
- Various String operators
- Update String values
Characters can be enclosed in single or double quotations to construct strings. In Python, even triple quotes are permissible, but they are often only used to denote multiline strings and docstrings.
- List is a most versatile data type in python which can be written as a list of comma separated values between square brackets.
- Accessing Values in Lists
- Updating Lists.
- Delete list elements.
- List Operations.
In Python, lists are a versatile data structure for holding a collection of elements. They can hold elements of different data types, are mutable (modifiable), and support various operations, such as indexing, slicing, and concatenation.
- Python tuple is a sequence of immutable objects.
- Accessing Tuple
- Elements in a Tuple
- Tuple Operations.
Tuples are collections of data that are sorted and indexed. The first item in the tuple will include the index, followed by the second value, and so on, much like string indices do. Duplicate values may be stored in tuples. The values of a tuple cannot be modified once data has been assigned to it.
- Each key is separated from its value by a colon (:)
- Accessing values in Dictionary
- Updating Dictionary
- Deleting elements in Dictionary
- Properties of Dictionary elements
- Built in Dictionary functions & methods.
An unordered collection of data values known as a dictionary is used in Python to store data values similar to a map. The Dictionary stores key-value pairs as opposed to other data types, which only contain a single item.
- Date, Time & Date Time classes provides a number of functions to deal with dates, times & time interval.
- Date Time classes in Python are categorized into five main classes:
- Time : Time independent of the day( Hour,minute, second,microsecond)
- Datetime : Combination of time & date ( Month, day , hour, second, microsecond)
- Timedelta : a duration of time used for manipulating dates.
- Tzinfo : An abstract class for dealing with time zones.
The fact that Python enables you to obtain the current date and time should not come as a surprise at first. Access is also available to these items' parts. Use the today () function of the date class to obtain the current date.
- Arithmetic Operators
- Comparison Operators
- Logical Operators
- Assignment Operators
- Binary Operators
- Identity Operators
- Membership Operators
Tuples are collections of data that are sorted and indexed. The first item in the tuple will include the index, followed by the second value, and so on, much like string indices do. Duplicate values may be stored in tuples. The values of a tuple cannot be modified once data has been assigned to it.
- Pass by Value
- Pass by Reference
- Function Parameters
- Global Variables
- Variable Scope
- Returning Values
- Sorting
- Alternate Keys
- Lambda Functions
- Map Function
- Python List Comprehensions
- Sorting Collections of Collections
- Sorting Dictionaries
- Sorting Lists in Place
- Errors and Exception Handling
- Handling Multiple Exceptions
- The Standard Exception Hierarchy Using Modules
- The Import Statement
- Module Search Path
- Package Installation Ways
An unordered collection of data values known as a dictionary is used in Python to store data values similar to a map. The Dictionary stores key-value pairs as opposed to other data types, which only contain a single item.
Deep Dive – Functions, Sorting, Errors and Exception Handling
Learning Objectives – Understand how to use and create functions, sorting different elements, Lambda function, error handling techniques and using modules in Python.
Topics –
- Reading Data from Keyboard.
- For Files Read & write
- Opening & Closing of Files.
- File Object Attributes.
- File & Directory Related methods.
The fact that Python enables you to obtain the current date and time should not come as a surprise at first. Access is also available to these items' parts. Use the today () function of the date class to obtain the current date.
- Overview of OOPS terminology.
- Creating classes & Objects.
- Creating Instance Objects.
- Built-In Class Attributes.
- Destroying Objects (Garbage Collection)
- Class Inheritance
- Polymorphism
- Method Overriding
- Overriding Methods
- Overloading Operators
- Data Hiding
- Python Constructors
- Destructors
- Exceptional Handling
Python Introduction to OOPs - A multi-paradigm programming language is Python. It, therefore, supports many programming methodologies. For example, making objects is one of the common ways to tackle a programming challenge. The term "object-oriented programming" refers to this (OOP).
- Database Connection
- CRUD Operations
- Procedures & Functions calling
- Debugging Python Code Using PyCharm
- Unit Test Cases
- MySQL Python Connectivity
- Python Packages
The Python debugger, or pdb module, is a built-in feature of the Python standard library that makes debugging in Python easier. It is specified as the class Pdb, which internally utilizes the bdb (support for line-oriented command interpreters) and cmd (basic debugger functions) modules.
- Threading Module
- Thread Creation using Threading module
- Synchronizing Threads
- Thread Priority Queue
Python's threading module offers a fairly straightforward and user-friendly API for generating numerous threads in a program. Let's look at a straightforward threading module example: Python software to demonstrate the idea
The name CSV refers to Comma Separated Values, in which any data is saved as plain text divided into different parts by a predetermined set of separators. Working with CSV files in Excel is a routine task for everyday users. Any type of file that has the.csv extension in its name is recognized as a CSV file.
- Deque in Python
- Python orderedDict
- Python namedTuples
- Python Frozenset
- Difference between List, Tuple, Dict, Set, FrozenSet
An introduction to C++'s advanced data types. A variable can work with the sorts of data defined by C++ data types. For example, it could be user-defined data types like char, float, double, or integer.
- List Comprehensions
- Set Comprehensions
- Dictionary Comprehensions
- Set Comprehensions
Python comprehensions are concise ways to create data structures like lists, sets, and dictionaries. They make code more readable and reduce the number of lines needed. Comprehensions are simple yet powerful tools that every Python programmer should know.
NumPy is a Python library for numerical computing. A library for the Python programming language called NumPy (pronounced () or ()) adds support for big, multi-dimensional arrays and matrices as well as a tonne of high-level mathematical functions to work on these arrays.
NumPy is widely used in data science, machine learning, and scientific computing.
Because it is flexible and excellent at handling data, Pandas is a crucial Python data science library. My favorite aspect of Pandas is how well IPython and Numpy are integrated.
Exploratory Data Analysis (EDA) is an approach to analyzing and summarizing datasets to gain insights and identify patterns. In Python, libraries like Pandas, Matplotlib, and Seaborn provide powerful tools for performing EDA.
Data analysis and artificial intelligence Python has established itself as a standard in data science, allowing data analysts and other experts to utilize it to perform intricate statistical computations, design machine learning algorithms, and handle and analyze data, among other activities.
The technique of gathering and processing raw data from the Web is known as web scraping, and the Python community has developed some rather potent web scraping tools. As a result, the world's largest source of information—and false information—may be found on the Internet.
A free and open-source toolkit with many built-in features, spaCy is the only option if you wish to perform natural language processing (NLP) in Python. In addition, it is becoming more widely used for field data processing and analysis.
Course Description
Python is a great first programming language to learn for beginners. Python Training in Gurgaon will help you understand both basic concepts like Python Datatypes, Loops, Conditional Statements, Operators, Functions - Lambda, map, filter, etc., file handling & advanced level concepts oops concepts, Integration with SQL database, working with excel-csv files, advanced data types, python optimizations, web scrapping, NumPy, Pandas, Data Analysis & Visualization in Python, NLP.
Python is the most user-friendly and easy to learn language, is used as a powerful tool in handling advanced analytics applications.
- You will be able to automate work using python scripts
- You will be able to do web scraping using APIs
- You will be able to perform data visualization
- You will be able to do data analysis
- You will be able to perform data extraction on Twitter and perform analysis
- You will be able to do CRUD operations
- You will be able to do automate excel and CSV files
- You will be able to perform array operations using NumPy
This Python Training in Gurgaon will build your fundamentals of programming language.
- Detailed Knowledge of Oops programming
- Classes, Objects
- Constructors
- Polymorphism
- Inheritance
- Encapsulation
- Method Overloading & Overriding
- Declaring Enumerations
- Multi-threading
- Destructors
- Exceptional Handling
- Advanced automation of Excel & CSV files
- CRUD operations using SQL database
- Advanced data types like - Deque, orderedDict, namedTuples, FrozenSet
- Python Optimizations (Comprehensions)
- Web Scrapping
- NumPy
- Pandas
- Exploratory Data Analysis
- Data Visualization
- Natural Language Processing (NLP)
- Twitter data extraction
We at Gyansetu understand that teaching any course is not difficult but to make someone job-ready is the essential task. That's why we have prepared projects which will drive your learning through real-time industry scenarios and help you clearing interviews. Python Course content is very extensive, it covers a lot of advanced topics which may not be covered at other institutes like-
All the advanced level topics will be covered at Gyansetu in a classroom/online Instructor led mode with recordings.
No prerequisites. This course is for beginners.
- Our placement team will add Python Programming skills & projects in your CV and update your profile on Job search engines like Naukri, Indeed, Monster, etc. This will increase your profile visibility in top recruiter search and ultimately increase interview calls by 5x.
- Our faculty offers extended support to students by clearing doubts faced during the interview and preparing them for the upcoming interviews.
- Gyansetu’s Students are currently working in Companies like Sapient, Capgemini, TCS, Sopra, HCL, Birlasoft, Wipro, Accenture, Zomato, Ola Cabs, Oyo rooms, etc.
Gyansetu is providing complimentary placement service to all students. Gyansetu Placement Team consistently work on industry collaboration and associations which help our students to find their dream job right after the completion of training.
- Gyansetu trainer’s are well known in Industry; who are highly qualified and currently working in top MNCs.
- We provide interaction with faculty before the course starts.
- Our experts help students in learning Technology from basics, even if you are not good in basic programming skills, don’t worry! We will help you.
- Faculties will help you in preparing project reports & presentations.
- Students will be provided Mentoring sessions by Experts.
Certification
Python CertificationReviews
Placement
Pooja
Placed In:
Wipro
Placed On – June 30 , 2020Review:
Gyansetu provides the best training experience. There are very good training programs available in python.
Nisha
Placed In:
OYO
Placed On – June 20 , 2019Review:
Gyansetu faculty are the primary reason people join this Institute. Their knowledge and industry exposure is of very high quality.
Aishwarya
Placed In:
Accenture
Placed On – August 10 , 2018Review:
Tutors are very cooperative and flexible during the classes. Even if someone is taking time to learn concepts, faculty don't rush to complete course.
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Structure your learning and get a certificate to prove it.
Python Training in Gurgaon Features
Frequently Asked Questions
- What type of technical questions are asked in interviews?
- What are their expectations?
- How should you prepare?
We have seen getting a relevant interview call is not a big challenge in your case. Our placement team consistently works on industry collaboration and associations which help our students to find their dream job right after the completion of training. We help you prepare your CV by adding relevant projects and skills once 80% of the course is completed. Our placement team will update your profile on Job Portals, this increases relevant interview calls by 5x.
Interview selection depends on your knowledge and learning. As per the past trend, the initial 5 interviews is a learning experience of
Our faculty team will constantly support you during interviews. Usually, students get a job after appearing in 6-7 interviews.
- What type of technical questions are asked in interviews?
- What are their expectations?
- How should you prepare?
We have seen getting a technical interview call is a challenge at times. Most of the time you receive sales job calls/ backend job calls/ BPO job calls. No Worries!! Our Placement team will prepare your CV in such a way that you will have a good number of technical interview calls. We will provide you interview preparation sessions and make you job ready. Our placement team consistently works on industry collaboration and associations which help our students to find their dream job right after the completion of training. Our placement team will update your profile on Job Portals, this increases relevant interview call by 3x
Interview selection depends on your knowledge and learning. As per the past trend, initial 8 interviews is a learning experience of
Our faculty team will constantly support you during interviews. Usually, students get job after appearing in 6-7 interviews.
- What type of technical questions are asked in interviews?
- What are their expectations?
- How should you prepare?
We have seen getting a technical interview call is hardly possible. Gyansetu provides internship opportunities to the non-working students so they have some industry exposure before they appear in interviews. Internship experience adds a lot of value to your CV and our placement team will prepare your CV in such a way that you will have a good number of interview calls. We will provide you interview preparation sessions and make you job ready. Our placement team consistently works on industry collaboration and associations which help our students to find their dream job right after the completion of training and we will update your profile on Job Portals, this increases relevant interview call by 3x
Interview selection depends on your knowledge and learning. As per the past trend, initial 8 interviews is a learning experience of
Our faculty team will constantly support you during interviews. Usually, students get job after appearing in 6-7 interviews.
Yes, a one-to-one faculty discussion and demo session will be provided before admission. We understand the importance of trust between you and the trainer. We will be happy if you clear all your queries before you start classes with us.
We understand the importance of every session. Sessions recording will be shared with you and in case of any query, faculty will give you extra time to answer your queries.
Yes, we understand that self-learning is most crucial and for the same we provide students with PPTs, PDFs, class recordings, lab sessions, etc, so that a student can get a good handle of these topics.
We provide an option to retake the Python course within 3 months from the completion of your course, so that you get more time to learn the concepts and do the best in your interviews.
We believe in the concept that having less students is the best way to pay attention to each student individually and for the same our batch size varies between 5-10 people.
Yes, we have batches available on weekends. We understand many students are in jobs and it's difficult to take time for training on weekdays. Batch timings need to be checked with our counsellors.
Yes, we have batches available on weekdays but in limited time slots. Since most of our trainers are working, so either the batches are available in morning hours or in the evening hours. You need to contact our counsellors to know more on this.
Total duration of the course is 100 hours (50 Hours of live instructor-led-training and 50 hours of self-paced learning).
You don’t need to pay anyone for software installation, our faculties will provide you all the required softwares and will assist you in the complete installation process.
Our faculties will help you in resolving your queries during and after the course.