Description
Open the doors of your career in Data Science with the help of Python Certification. KnowledgeHut’s course gives you knowledge about its architecture and design philosophy, and the basics of scripts, applications, and packages through hands-on practical sessions. Over the duration of the course, you will interact with the instructors in real-time, that is, listen, learn, interact, question, and apply.
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!
Our Python Certification with Hands-on experience projects will assist you to learn:
- About interpreters and Python Script
- How to install Anaconda and Python distribution
- To write Python code to implement string operations
- To write Python code to understand and implement Python Data Structures
- To write Python code to implement loop and control structures in R
- To write Python code to create your own custom functions without or with arguments. Also, learn how to call them by passing arguments as per requirements
- To write Python code to create modules as well as execute them
- To write Python code to use Regular Expression and match pattern, parse data and so on
- To write Python code to construct a class and define objects
Do you know 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.
History of Python
Python was created by Guido Van Rossum.
He started designing Python programming language during the 1980s and released it for the first time in February 1991. Various versions have been released since then, with 3.7.3 being the latest version.
In February 1991, Van Rossum published the labeled code version 0.9.0, where classes with inheritance, functions, exception handling and all the core datatypes of the list, dict, str, etc. were already in the stage of development.
When to Learn Python 2?
With Python 2 on the verge of becoming obsolete and being replaced by Python 3, the question of which is the better version of Python to learn has become a topic of debate within the coding community. This might lead you to wonder whether you need to learn Python 2 at all. TThere are still some situations in which you might need to know Python 2:
- If the project that you are working on depends on certain libraries or third-party software which cannot be ported to Python 3, you will not have any other choice but to use Python 2 for the same.
- If the legacy code of your company is written in Python 2, you’ll have to work with Python 2.
- If you wish to become a DevOps engineer and work with configuration management tools like Ansible or Fabric, then you will have to work with both Python 2 as well as Python 3 as parts of these libraries don’t have the full support of Python 3.
When to Learn Python 3?
If you are a beginner and are wondering where to start, then Python 3 is the right choice for you. WIth next to no compatibility issues, Python 3 has changes that have made it easier to understand for beginners, making it the best choice to learn Python for the first time. With Python 3 being the future and Python 2 dying out, you should invest your time in learning the version of Python which will help you into the future.
But, whichever version of Python you decide to start with, it will be an easy process for you to transfer your knowledge to the other when needed.
Why was Python named as Python?
Besides implementing Python, Guido Van Rossum was also reading published scripts from a BBC comedy series, “Monty Python’s Flying Circus” from the 1970s. With the need for a short, unique and slightly mysterious name, he decided to name the language as Python.
Python version 1.0:
- Was released in January 1994,
- Included the release of functional programming tools like lambda, map, filter and reduce.
Python version 2.0:
- Was released in October 2000
- Introduced list comprehensions, garbage collection system which is capable of collecting reference cycles.
Python Versions & Release Date
Sr. No. | Python Versions | Date of Documentation |
1. | 25 March 2019 | |
2. | 24 December 2018 | |
3. | 20 October 2018. | |
4. | 27 June 2018 | |
5. | 24 December 2018 | |
6. | 3 December 2008 | |
7. | 02 March 2019 | |
8. | 30 April 2018 | |
9. | 16 September 2017 | |
10. | 17 December 2016 | |
11. | 26 June 2016. | |
12. | 16 October 2000 | |
13. | 5 September 2000 | |
14. | 22 March 2000 | |
15. | 6 July 1999 | |
16. | 30 April 1999 |
Major Differences b/w Python 2.X Series & Python 3.X Series
The announcement in 2014 that Python 2.7 would be supported until 2020, encouraged users to move to Python 3 from Python 2, making Python 2 nearly obsolete and Python 3 the future. This table shows why companies are moving from Python 2 to Python 3.
Sr. No. | Python 2.X | Python 3.X |
| 1. | A string is stored as ASCII by default. | A string is stored as Unicode by default. |
| 2. | Treats “print” as a statement. | Treats “print” as a function. |
| 3. | Division of integers always returns integers. [5/2=2] | Division of integers may result in a float. [5/2=2.5] |
| 4. | raw_input() reads strings. | raw_input() is not available. |
| 5. | input() evaluates data read. | input() always reads string. |
Applications of Python
Being a user-friendly language, Python is used in various domains. Below mentioned are a few applications of Python language:
1. Web and Internet Development:
Python has libraries for internet protocols like HTML and XML, JSON, etc. as well as an easy-to-use socket interface, making the process of web development hassle free.
2. GUI Based Desktop Application:
With numerous GUI toolkits available, like wxPython, PyQt or PyGtk, developers can create highly functional Graphical User Interfaces (GUI).
3. Operating Systems:
Python has developed to become an integral part of Linux distributions. For example, Ubiquity Installer of Ubuntu has been developed in Python.
4. Science and Numeric Applications:
Python has become an integral part of the application of computation and processing of scientific data due to its productivity, availability of tools and higher speed. To name a few tools: SciPy, Pandas, IPython, etc.
5. Software Development Applications:
Python is used as a support language by Software developers for build-control and management, testing, etc.
6. Application of Python in Education:
Python has paved its way to becoming an amazing language for teaching programmes, both at introductory as well as advanced level. Example: Scons, Buildbot, Apache Gump, etc.
7. Application of Python in Business:
Python is widely used to build ERPs and e-commerce systems. Example: Tryton, Odoo.
8. Database Access:
Customize different databases like MySQL, Microsoft SQL Server, Oracle, etc. with the help of Python.
9. Games and 3D Graphics:
With the help of various modules, libraries, and platforms that support the development of games, one can develop games with Python.
10. Other Applications of Python:
Python is further used in the following applications
- Applications for Images
- Video or Audio based applications
- 3D CAD Applications
- Machine learning
- Robotics
- Artificial Intelligence
- Web Scraping
- Scripting
- Enterprise Applications
It has a simple as well as an easy-to-use syntax, making it a perfect language to learn for a fresher who is trying to learn a programming language for the first time.
Features of Python:
One of the best features of Python programming is that the Python programs can be moved from one platform to another and can be run without making any additional changes on almost all platforms including Windows, Linux, and Mac OS X. It has a simple syntax, which is quite similar to the English language. Moreover, its syntax allows developers to write programs with shorter or fewer lines as compared to other programming languages. Another major advantage with Python programming is that prototyping can be done very quickly, that is, a code can be executed as soon as it has been written.
Python has emerged as the most favored language for Data Analytics. It easily integrates with other technologies and offers greater stability, leading to higher programming productivity especially in complex Agile projects. Python reduces development time by nearly half due to it's easy to read syntax and simple compilation function. Python has a built-in debugger, making the process of debugging programs a straightforward task. Since a long time, the use of Python was restricted to scientific computing and highly quantitative domains such as finance, physics, oil and gas, and signal processing, but it is now finding increasing acceptance across all domains, especially in the field of Data Science.
Future of Python
Python has widespread use in the domains of web development, application development, developing games, etc. It has been described as one of the most organized languages and standard languages by its users. With the increase in popularity of Python language, it is expected to grow tremendously in the fields of Artificial Intelligence, Networking and Big Data in the near future.
Artificial Intelligence: Various frameworks, tools, and libraries are being developed to direct artificial intelligence to reduce human efforts and increase the accuracy and efficiency for development purposes.
Networking: Python performs various networking automation tasks such as reading, writing, and configuring routers and switches in a cost-effective and secure way with the help of various tools and libraries such as Ansible, Netmiko, etc.
Big Data: Python programming language has helped the big data technology to grow. Thanks to its high-performance libraries and toolkits, Python continues to successfully contribute to the analysis of a large number of data sets. To name a few python libraries and toolkits for Data Analysis: Pandas, Scikit-Learn, NumPy, Dask, etc.
Companies using Python & Why do they use it?
As stated above, the Python programming language is extensively used for web development. It is used by big organizations as well as small start-ups to improve their productivity and meet the requirements of their customers. The following lists a few popular companies which use Python as the preferred language in Web Development, as well as mass companies that deploy Python.
Instagram:
After recently moving to Python 3, Instagram is a gigantic tech company which is using Python language in combination with Django, which is one of Python’s frameworks.
According to Instagram’s engineering team:
"Instagram currently features the world’s largest deployment of the Django web framework, which is written entirely in Python.”
Google:
Python is used extensively by Google. It is now one of the official server-side-languages, C++, Golang and Java being the other ones. Moreover, Peter Norvig said:
“Python has been an important part of Google since the beginning and remains so as the system grows and evolves. Today dozens of Google engineers use Python, and we’re looking for more people with skills in this language.”
Spotify:
Spotify uses Python primarily for back end services as well as data analysis. Spotify is a huge advocate of Python, due to the speed of processes of development while using Python.
Netflix:
Just like Spotify, Netflix relies on Python for back end services and data analysis. Netflix allows its software engineers to choose their own language for coding, and have noticed the maximum usage being that of Python applications.
According to the technology blog of Netflix,
“Developers at Netflix have the freedom to choose the technologies best suited for the job. More and more, developers turn to Python due to its rich batteries-included standard library, succinct and clean yet expressive syntax, large developer community, and the wealth of third-party libraries one can tap into to solve a given problem.”
Reddit:
Reddit is the fourth most visited site in the United States and the seventh most visited site in the world. The software backbone behind Reddit is Python. Originally, Reddit started coding with Lisp and was recorded in Python within 6 months of its launch. This happened because Python has a wider range of code libraries and is more flexible.
Quora:
This question and answer platform took their time to decide on the language which they wanted to use to implement their design. Taking their lead from Google, they finally decided on Python because of its ease of writing and readability. Another reason for them to opt for Python was because of the existence of several good frameworks, including Django and Pylons.
Uber:
Uber chose Python due to its ability to quickly provide the essential mathematical calculations they require for efficient working.
According to Uber engineers,
“At the lower levels, Uber’s engineers primarily write in Python, Node.js, Go, and Java. We started with two main languages: Node.js for the Marketplace team, and Python for everyone else. These first languages still power most services running at Uber today.”
NASA:
NASA uses Python extensively and open sources a lot of their software.
Why Python Certification from KnowledgeHut?
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.
What you will learn
1. Install Python
Get started on your Python journey by learning to Install Anaconda - Python distribution.
2. Master Python fundamentals
Create your first Python program by learning basic syntax, variables, types and so on...
3. Data Structures
Learn about data structures that Python can handle. Create, manipulate Python lists, tuples, etc.,
4. Conditional Statements
Learn to write complex decision making code by mastering control structures like if, for, while, break and more
5. Modules
Learn to write and import your own Python modules and use them in other directories
6. Regular Expressions
Learn all about Regular Expressions; their uses in matching patterns and parsing files and text for information
7. Object Oriented Programming
Learn to write user-defined functions and object-oriented way of writing classes and objects.
8. Master Python best practices
Take your Python skills to the next level with functions, import packages and improved code readability
Prerequisites
We recommend:
- Knowledge of basic programming concepts
- Knowledge of object-oriented concepts will be beneficial
3 Months FREE Access to all our E-learning courses when you buy any course with us
Who should Attend?
- Web developers, programmers, engineers, big data scientists, etc
- Professionals who want to strengthen their knowledge of Python
- Suited for beginners and experienced professionals
KnowledgeHut Experience
Instructor-led Live Classroom
Interact with instructors in real-time— listen, learn, question and apply. Our instructors are industry experts and deliver hands-on learning.
Curriculum Designed by Experts
Our courseware is designed by industry experts who have real-world experience. Get the most advanced knowledge and skills.
Hands-on coding
Learn theory backed by practical case studies, exercises, and coding practices. Apply skills and knowledge effectively in the real world.
Expert Mentorship
Learn from the best in the field. Our mentors are all experienced professionals in the fields they teach.
Advance from the Basics
Learn concepts from scratch, and advance your learning through step-by-step guidance on tools and techniques.
Code Reviews by Professionals
Get reviews and feedback on your final projects from professional developers.
Projects
Projects
Covers conditional statements, functions, classes, modules, regular expressions.
Curriculum
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:
- History of Python
- Why to use Python?
- Starting Python
- Interpreter PATH
- Using the Interpreter
- Python Scripts on UNIX/Windows
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:
- Python Editors and IDEs
- Install Anaconda
Hands-on:
Install Anaconda - Python distribution
Learning Objective:
In this module, you will learn to convert messy text into something useful.
Topic Covered:
- String Operations
- Data Types & Variables
- Commonly used Operators
Hands-on:
Write Python code to implement string operations.
Learning Objective:
Learn the various data structures that are used in Python.
Topic Covered:
- Arrays
- Lists
- Tuples
- Dictionaries
- Sets
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:
- For Loop
- While Loop
- Break Statement
- Next Statements
- Repeat Statement
- if, if…else Statements
- Switch Statement
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:
- Writing your own functions (UDF)
- Calling Python Functions
- Functions with Arguments
- Calling Python Functions by passing Arguments
- Lambda Functions
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:
- The Import Statement
- Module Search Path
- Package Installation Ways
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:
- RE Objects
- Pattern matching
- Parsing data
- Subexpressions
- Complex substitutions
- RE tips and tricks
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:
- Introduction to Python Classes
- Defining Classes
- Initializers
- Instance Methods
- Properties
- Class Methods and Data
- Static Methods
- Private Methods and Inheritance
- Module Aliases
Hands-on:
Write Python code to construct a class and define objects.
Learning Objective:
Study Use Cases to explore Python
Topic Covered:
- Use Case
Hands-on:
Use cases covering conditional statements, functions, classes, modules, regular expressions.
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Web Developer.Faq
The Course
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:
- How to use the Python and its environment
- How to use Python functions to manipulate data
- How to use Python modules, regular expressions and object oriented concepts
By the end of this course, you would have gained knowledge on the use of Python language to build applications.
The Tools and Technology used for Python Course is Python
There are no restrictions but we recommend having basic programming knowledge.
Yes, KnowledgeHut offers this 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.
Finance Related
Any registration cancelled within 48 hours of the initial registration will be refunded in FULL (please note that all cancellations will incur a 5% deduction in the refunded amount due to transactional costs applicable while refunding) Refunds will be processed within 30 days of receipt of written request for refund. Kindly go through our Refund Policy for more details: http://www.knowledgehut.com/refund
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.
The Remote Experience
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
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