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Hands-on with Python
Python Certification will assist you in mastering the concepts of Python and its libraries like SciPy, Matplotlib, Scikit-Learn, Pandas, NumPy, Lambda functions, and Web Scraping. Learn how to write Python Programming for Big Data systems such as Spark and Hadoop.
Python certification is suitable for beginners, intermediate learners as well as Python experts. Learn Python from scratch and work on real-world projects and case studies to get extensive hands-on experience.
Over the course duration, interact with the instructors in real-time, that is, listen, learn, interact, question, and apply.
So what exactly is Python? It’s not as complicated as you think!
Python is a high-level performing, object-oriented, multi-purpose programming language. It has an integrated dynamic semantics which is mostly used for web development as well as app development. Python offers dynamic typing and dynamic binding, which makes it appealing in the field of Rapid Application Development. Also, Python supports packages and modules, encouraging code reuse and program modularity.
The course curriculum has been designed in such a manner that you’ll receive the most advanced knowledge and skills. You can become an expert in Python by grabbing the opportunity to learn hands-on coding with guidance and reviews from our mentors. You will be learning from the best in the field as all our trainers and mentors are experienced professionals.
If you have a basic knowledge of programming concepts and object-oriented concepts and wish to make a career out of Python as a Software Engineer, Python Developer, Data Scientist, Data Analyst, Research Analyst or Software Developer, then choose the best Python certification course and make your dream career come true!
Chapter No | Python Tutorial Chapters |
| 1 | Get a brief idea of what this Python tutorial has to offer. Know about the main features of Python along with the history of its development. Learn some important applications of Python, including data science, machine learning, image processing etc, along with who uses Python. |
| 2 | Gain a brief idea about Python Online. Learn how to install Python on your Windows and Linux machine with the help of the installation instructions provided in this module. Also, get acquainted with alternative Python distributions such as Anaconda and Canopy. |
| 3 | Gain an understanding of Keywords, Identifiers and Statements to learn about the basic syntax of Python. Learn the rules of naming identifiers, Intends and Comments with suitable examples. |
| 4 | Acquire knowledge on the data type systems in Python, viz. Standard or Built-In data types, which include Numbers, Sequences and Mappings. Learn about Variables, Dynamic Typing and Mutability of Objects in this module. Moreover, gain an understanding of the input/output functions input() and print() along with appropriate examples. |
| 5 | This module deals with the representation of numeric data types, viz. int, bool, float, complex. Learn about the Built-in Conversion Functions such as int(), float(), complex(); as well as the Built-in Mathematical Functions such as abs(), hex(), oct(), pow(), round() with simple examples. |
| 6 | Get a detailed look at the characteristics of Python’s string data type and the different escape sequences. Learn various useful methods of built-in String class – such as changing cases, finding and replacing within the string, etc. String formatting and format() function is explained with suitable examples. |
| 7 | Learn about Python’s built-in container types, List and Tuple. Know the similarities and the differences between the two. Gain an understanding of the built-in functions that can be used along with List as well as Tuple. The Conversion functions list(), tuple() and str() are illustrated in this chapter. |
| 8 | Definition of Dictionary along with its representation and examples of dictionary objects. Learn how to access and update values in the dictionary. Gain an understanding of the built-in functions and dictionary class methods. Learn about the Keys(), values() and items() methods with suitable examples. |
| 9 | Know everything about Sets and set() function that you need to know with the help of suitable examples. Learn about the different methods by which the set object can be modified. This module also explains how various set operations like union, intersection are performed using respective methods in Set class. |
| 10 | This module deals with operators in Python, that perform various operations on Python objects. Learn about the arithmetic and logical operations defined in Python. Moreover, get to know the use of set operators corresponding to methods in Set class. Get to know about the identity, membership and bitwise operators. |
| 11 | Python - Conditional Statements Get to know the proper definition of program and programming. Acquire the knowledge of logical programming and learn how the statements are executed. Learn how to use the different conditional statements, viz. if, else and elif with appropriate examples. |
| 12 | Gain a basic understanding of loops through this module. This module describes the importance and usage of while loop, for loop as well as nested loop in Python with the help of examples. Python’s loop control keywords break and continue have been dealt with in detail in this module. |
| 13 | Python library is bundled with a large number of modules, each containing a number of utility functions. In this module, frequently used functions from various modules are explained with examples. The sys module and statistics module has also been covered. |
| 14 | Python - User Defined Functions Learn how to define a new function as per requirements and how to call it. Different features of defining and passing arguments to a function are explained with suitable examples in this module. Learn how to make a function return value. Moreover, calling the function by reference is also explained. |
| 15 | Python – Functional Programming This module will give you an overview of some important tools supporting functional programming paradigm. Learn about iterator and generator functions in this module. It also deals with list comprehension and related tools in details. Learn how to use the map(), filter() and reduce() functions. |
| 16 | This chapter will help you learn how to build a module and import functions from it. Learn how to use the various attributes of these modules under diverse programming situations. Additionally, study how to build a module and import functions from it. |
| 17 | This module deals with packages, as well as how to construct a package and import functions from it. Furthermore, build a package and install it for system-wide use with the help of setup tools module. The process of publishing module on Python package index repository has also been discussed. |
| 18 | This module discusses Exceptions and the numerous predefined Exception classes present in a Python library. Get to know the various exception types. Learn how to use try, except and finally keywords to understand Python’s exception handling mechanism. Define customized exception classes and raise their instances. |
| 19 | Get acquainted with the built-in File object of Python in this chapter. Various file opening modes like append and simultaneous read/write are explained with relevant examples. A section in this chapter deals with file related exception handling. Moreover, learn how to perform read/write operations on a binary file. |
| 20 | Learn what are Comma Separated Values (CSV) format. Learn about its Reader and Writer classes as well as convenience functions along with suitable examples. The various functions discussed are writer(), writerow(), writerows(), reader(), DictWriter(), writeheader(), DictReader(). This module also discusses, in brief, the Dialect class. |
| 21 | Python – Database Connectivity This chapter introduces the concepts of a relational database, explaining the basic SQL queries for CRUD operations with the help of SQLite and MySQL database. Learn how Python programming can be used to perform SQL operations on the SQLite database. Here, MySQL connectivity is explained by installing PyMySql module. |
| 22 | Get a deeper insight into Tkinter. Learn how to form a basic window and put various widgets like button, label, entry etc. Get to know its layout management with place(), pack() and grid() methods. Learn about Event handling mechanism and how to draw different shapes using the Canvas widget. |
| 23 | Understand the difference between a procedure-oriented approach towards programming from an object-oriented approach. Learn how to build a user-defined class and set up its objects. Additionally, the concept of constructor, instance attributes and methods are explained along with Python’s built-in property() function using examples. |
| 24 | Understand what a Decorator is and learn how to define a decorator. Understand the built-in property() function and how to use it as a @property decorator. Moreover, learn about the @classmethod and @staticmethod built-in decorators as well. |
| 25 | In this chapter, take a look at Python’s implementation of the principle of inheritance. Understand the Syntax of Inheritance. Other topics discussed in this chapter are Overriding, multiple inheritance and Protected attributes. |
| 26 | This chapter will help you understand what Magic Methods are. In this chapter, magic methods used for object customization are discussed. They are __new__(), __repr__() and __str__(). Get to know about operator overloading and object customization. MyTime class has been used to demonstrate operator overloading. |
| 27 | This chapter explains all the functions that are defined in the regex module of Python’s standard library. This chapter demonstrates searching for, matching, finding and compiling regex patterns. Towards the end of the chapter, typical use cases of regex such as matching domain names are explained. |
| 28 | Important features of Python’s implementation of the CGI protocol has been discussed. It describes how Apache server is configured for running *.py files as a CGI script. Various attributes, methods of FieldStorage class have been used to demonstrate how data is sent from a web client and result is redirected from the server. |
| 29 | This chapter deals with the SMTP protocol with the help of the smtplib module. A suitable example is used to show how we can use Gmail by configuring its SMTP server to send an email from a Python script. |
| 30 | Gain an understanding of serialization and deserialization. In this chapter, understand and learn pickle protocols, which is Python’s own serialization format. Serialization functionality of marshal and shelve module is also explained. Finally, learn how Python objects are represented in JSON format with the help of the JSON module. |
| 31 | In this chapter, understand the principles of concurrent threads in a program. The threading module defines functions to initialize, start run and terminate a thread. We shall also see how a thread can be paused and resumed. This chapter takes a look at the concept of thread synchronization. |
| 32 | This chapter covers the implementation of the ElementTree API model. With the help of a suitable example, understand and learn how Python objects can be serialized in XML format and reconstructed back. Moreover, learn how to parse, modify an XML file and the comparison between DOM and SAX APIs. |
| 33 | This chapter takes a look at the functionality of the 'socket' module that provides access to the BSD socket interface, and focuses mainly on connection-oriented TCP sockets. Understand the various Server Socket methods and learn how to set up a socket server as well as a client application. |
| 34 | Data classes module is the latest addition to Python’s standard library. The @dataclass decorator helps in auto-generation of constructor and operator overloading methods in a class. The functions asdict(), astuple() and make_dataclass() have been discussed with respective examples in this chapter. |
Python has been voted as the most wanted technology of the year 2018, according to the 2018 Developer Survey by StackOverflow. Also, it has been ranked as the seventh most popular programming language in the world amongst software developers.
With various resources available in the market that can teach you to code in Python version 3 without any experience of coding in Python version 2, it is necessary that you make the right choice of course for you. Python 3 being the latest version of Python, is also the future. And starting with the latest version of a programming language is a decision that you will never regret.
The Python Certification course provided by KnowledgeHut is an instructor-led, 24 hours live session with 7- hours of MCQs and assignments. It also includes 22 hours of hands-on practical sessions with Python along with three use cases.
The Python certification training will introduce you to the world of Python and enable you to learn Python from scratch. It will expose you to its architecture, design philosophy, basics of scripts, applications, and packages through hands-on practical sessions.
Get started on your Python journey by learning to Install Anaconda - Python distribution.
Create your first Python program by learning basic syntax, variables, types and so on...
Learn about data structures that Python can handle. Create, manipulate Python lists, tuples, etc.,
Learn to write complex decision making code by mastering control structures like if, for, while, break and more
Learn to write and import your own Python modules and use them in other directories
Learn all about Regular Expressions; their uses in matching patterns and parsing files and text for information
Learn to write user-defined functions and object-oriented way of writing classes and objects.
Take your Python programming skills to the next level with functions, import packages and improved code readability
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Interact with instructors in real-time— listen, learn, question and apply. Our instructors are industry experts and deliver hands-on learning.
Our courseware is designed by industry experts who have real-world experience. Get the most advanced knowledge and skills.
Learn theory backed by practical case studies, exercises, and coding practices. Apply skills and knowledge effectively in the real world.
Learn from the best in the field. Our mentors are all experienced professionals in the fields they teach.
Learn concepts from scratch, and advance your learning through step-by-step guidance on tools and techniques.
Get reviews and feedback on your final projects from professional developers.
Build a small game to rearrange jumbled letters and create a word. A player is given a jumbled word, player will have to arrange the characters of the word and make a correct meaningful word.
Build a dice rolling simulator using Python, which will randomly select a number between 1 and 6. After selecting the number, it should print it and ask you if you would like to roll the dice again.
Create the classic Tic-Tac-Toe game (also called Noughts and Crosses) in Python using user defined functions, while loops etc. Player takes turns marking the spaces in a 3×3 grid.
Calculators are handy and can be used to perform simple tasks using simple operations like addition, subtraction, multiplication and division. Create a calculator using operators in Python to add, subtract, multiply and divide.
Learning Objective:
Learn about the history of Python and its various uses. Learn to use interpreters and also learn about how Python scripts work on UNIX/Windows.
Topic Covered:
Hands-on:
Learn about interpreters and Python Script.
Learning Objective:
Learn how to install Python distribution - Anaconda. Learn basic data types, strings & regular expressions.
Topic Covered:
Hands-on:
Install Anaconda - Python distribution
Learning Objective:
In this module, you will learn to convert messy text into something useful.
Topic Covered:
Hands-on:
Write Python code to implement string operations.
Learning Objective:
Learn the various data structures that are used in Python.
Topic Covered:
Hands-on:
Write Python Code to understand and implement Python Data Structures.
Learning Objective:
Learn all about loops and control statements in Python.
Topic Covered:
Hands-on:
Write Python Code to implement loop and control structures in R.
Learning Objective:
Write user-defined functions in Python. Learn about Lambda function. Learn the object oriented way of writing classes & objects.
Topic Covered:
Hands-on:
Write Python Code to create your own custom functions without or with arguments. Know how to call them by passing arguments wherever required.
Learning Objective:
Learn to build modules and install packages.
Topic Covered:
Hands-on:
Write Python Code to create modules and execute them.
Learning Objective:
Learn about Regular Expression Objects, subexpressions, tips and tricks to implement while you code.
Topic Covered:
Hands-on:
Write Python Code to use Regular Expression and match pattern, parse data and so on.
Learning Objective:
Gain knowledge on OOPs to code easily and efficiently. Learn to construct classes and define objects."
Topic Covered:
Hands-on:
Write Python code to construct a class and define objects.
Learning Objective:
Study Use Cases to explore Python
Topic Covered:
Hands-on:
Use cases covering conditional statements, functions, classes, modules, regular expressions.
The learning methodology put it all together for me. I ended up attempting projects I’ve never done before and never thought I could.
The learn by doing and work-like approach throughout the bootcamp resonated well. It was indeed a work-like experience.
The customer support was very interactive. The trainer took a very practical oriented session which is supporting me in my daily work. I learned many things in that session. Because of these training sessions, I would be able to sit for the exam with confidence.
The Trainer at KnowledgeHut made sure to address all my doubts clearly. I was really impressed with the training and I was able to learn a lot of new things. I would certainly recommend it to my team.
I really enjoyed the training session and am extremely satisfied. All my doubts on the topics were cleared with live examples. KnowledgeHut has got the best trainers in the education industry. Overall the session was a great experience.
I was impressed by the way the trainer explained advanced concepts so well with examples. Everything was well organized. The customer support was very interactive.
It is always great to talk about Knowledgehut. I liked the way they supported me until I got certified. I would like to extend my appreciation for the support given throughout the training. My trainer was very knowledgeable and I liked the way of teaching. My special thanks to the trainer for his dedication and patience.
KnowldgeHut's training session included everything that had been promised. The trainer was very knowledgeable and the practical sessions covered every topic. World class training from a world class institue.
Python is an object-oriented, interactive programming language which is supple and allows the lucid expression of concepts in fewer lines of code than in other languages. It is widely deployed for processing text, numbers, images or scientific data, and finds popular application in many development environments. Our course will hand hold you through the various fundamentals of Python going from basic to advanced and helping you master the language in a short time. Our experienced instructors will help you understand the fundamentals and give you hands-on training in handling and delivering Python packages. You can get up to speed with the latest best practices in coding with this multi-paradigm programming language that is actively used both in industry and academic circles. Python is among the most in-demand programming languages and Python developers can earn upto $116, 379 annually. This is the best time to learn this language.
You will learn:
By the end of this course, you would have gained knowledge on the use of Python programming language to build applications.
There are no restrictions but we recommend having basic programming knowledge.
Yes, KnowledgeHut offers python programming training online.
On successful completion of the course you will receive a course completion certificate issued by KnowledgeHut.
Your instructors are Python experts who have years of industry experience.
Any registration canceled within 48 hours of the initial registration will be refunded in FULL (please note that all cancellations will incur a 5% reduction in the refunded amount due to transactional costs applicable while refunding) Refunds will be processed within 30 days of receipt of the written request for refund. Kindly go through our Refund Policy for more details.
KnowledgeHut offers a 100% money back guarantee if the candidate withdraws from the course right after the first session. To learn more about the 100% refund policy, visit our Refund Policy..
In an online classroom, students can log in at the scheduled time to a live learning environment which is led by an instructor. You can interact, communicate, view and discuss presentations, and engage with learning resources while working in groups, all in an online setting. Our instructors use an extensive set of collaboration tools and techniques which improves your online training experience.
Minimum Requirements: MAC OS or Windows with 8 GB RAM and i3 processor
