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!
Python Tutorial Chapters
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Learn about interpreters and Python Script.
Learn how to install Python distribution - Anaconda. Learn basic data types, strings & regular expressions.
Install Anaconda - Python distribution
In this module, you will learn to convert messy text into something useful.
Write Python code to implement string operations.
Learn the various data structures that are used in Python.
Write Python Code to understand and implement Python Data Structures.
Learn all about loops and control statements in Python.
Write Python Code to implement loop and control structures in R.
Write user-defined functions in Python. Learn about Lambda function. Learn the object oriented way of writing classes & objects.
Write Python Code to create your own custom functions without or with arguments. Know how to call them by passing arguments wherever required.
Learn to build modules and install packages.
Write Python Code to create modules and execute them.
Learn about Regular Expression Objects, subexpressions, tips and tricks to implement while you code.
Write Python Code to use Regular Expression and match pattern, parse data and so on.
Gain knowledge on OOPs to code easily and efficiently. Learn to construct classes and define objects.
Write Python code to construct a class and define objects.
Study Use Cases to explore Python
Use cases covering conditional statements, functions, classes, modules, regular expressions.
Guido van Rossum, developer of the Python language was a big fan of the 1970s comedy show named ‘Monty Python’s Flying Circus’. He was looking for a name for his language that was short and mysterious. Python matched this description and that is how the programming language got its name.
Here are the top reasons why you should start learning Python:
Here are the 5 steps to getting started with Python:
Here is a list of topics which can help you learn Python quickly:
import <library> or from <library> import <function> keyword.
No, on the contrary, Python is a very easy programming language to learn. Its syntax is similar to the English language that makes it easy for developers to learn and understand. Also, it has a massive library and built-in functions that make creating programs easier and efficient.
Here are the 6 reasons explaining why Python is easy for beginners to learn:
If you are a newbie and have no experience with any programming language, it will take you about 3 months, if you dedicate 4 hours each day to Python. Make sure that you cover the following topics in these 3 months:
The 5 best ways to learn the Python programming language in 2019 include the following:
Here are the steps you need to follow to learn Python the right way:
1. Figure out what motivates you
Before you start learning Python, you need to figure out what motivates you to learn the language. You need to keep an eye on your goal so that you don’t leave midway. What you can do is figure out in which area do you want to implement your programming skills. Here are a few examples:
2. Learn the basic syntax
To do any programming and creating any application, you need to learn the basic syntax of the Python programming language. Since it has a very easy syntax resembling the English language, it will not take you much time to master it. Once you have understood the syntax, you can start creating basic programs. You need to implement your knowledge as you learn.
3. Develop Structured projects
After you have learned the syntax, you can start working on projects. It is the best way to learn Python. Without it, you won't be able to retain knowledge. You can either explore new solutions to already existing projects or create your own.
There have been certain releases of the language after Python 2. But still, several projects use Python 2. So, if you want to learn Python 2, here are the 3 best ways to do so:
Here are the 5 benefits of learning Python over other programming languages:
The 4 best resources to learn Python include:
Here is how you can learn Python 3 programming from scratch in 5 steps:
1. Find motivation: Before you dive into the language, you need to figure out what motivates you to learn. It can be any specific area in which you wish to implement your programming skills like machine learning, data science, game programming, and web development.
2. Learning basics: The syntax of Python is easy to learn. Even if you have a non-technical background, you will be able to learn it in a short period. Here are a few courses you can try for getting started with learning the basics of Python:
3. Implementation: Once you have understood the basics of Python, you need to start implementing it. It is the best way to learn Python.
4. Social coding: You can try working on online open-source projects to get an understanding of how real-world projects work. Social coding will help you work on your skills and network with other developers that will help you in your career.
5. Competitions: Try participating in online and offline competitions. These are a great way to develop out-of-the-box thinking as you can follow the instructions to provide an optimum solution to the problem.
To learn Python for data science in 7 steps, you need to follow these:
A Python developer working in Brisbane can earn an average of about $104,204 every year as compared to the average annual income of a Python developer working in Sydney, which is $124,441.
Recently, an increasing number of companies have switched to Python owing to several benefits like readability, better design and robustness. Currently, there are 168 Python developer jobs available in Brisbane. Companies like Anonyome Labs, BOEING, CSIRO, Oracle, Canstar, Bank of Queensland, etc. are looking for Python developers to help them with their projects.
As a Python developer in Brisbane, you will be able to enjoy a lot of benefits. Since, the demand for qualified Python developers is quite high, the opportunities for them are also high. They are able to fetch better salaries than developers trained in other languages.
Here are the perks and advantages of being a Python developer other than salary in Brisbane:
Companies that are hiring Python developers in Brisbane are M&T Resources, Data#3 People Solutions, Paxus, Opus Recruitment Solutions, Recon Solutions, Boeing Defence Australia, Peoplebank Australia QLD, Michael Page Digital, ERM Power Limited, etc.
|1||USQ Software Carpentry with Python 2019 Workshop||October 2, 2019- October 3, 2019|
B207 A+B University of Southern Queensland Building B, 37 Sinnathamby Boulevard Springfield Central, QLD 4300 Australia
|2||IoT Training in Brisbane||August 8, 2019|
TruVs, Brisbane, Australia
|3||Ozri 2019||November 20, 2019|
Brisbane Convention and Exhibition Centre 133 Grey Street South Brisbane, QLD 4000 Australia
1. USQ Software Carpentry with Python 2019 Workshop
2. IoT Training in Brisbane
3. Ozri 2019
|1.||Introduction to Python||April 9- April 10, 2018|
Training Choice, Mezzanine level, 88 Creek Street, Brisbane CBD
Python developers are quite in demand right now across the globe. Brisbane is no exception. The city is home to several leading software companies and more than 600 tech startups. So, the scope for a Python developer in terms of job prospects is quite high in Brisbane.
The following companies are hiring Python developers in Brisbane:
A Python developer working in Brisbane is responsible for:
Python is one of the most popular programming languages used by developers. Here are the main reasons why you should start learning Python programming immediately:
Here is how you can create your very first Python program in simple steps:
print “Hello world!”
<filename>.py Output: Hello world!
Here is how you can run a Python program in 2 different ways:
There are 2 ways to run a Python script on Windows:
Here are the 5 steps involved in effectively running Python scripts on Mac OS X:
Python is a multi-paradigm programming language that is extensively used in the following applications in the real world:
The top 4 companies that use Python include:
Python is independent of the Operating System. Installation of Python depends on the platform you are using. However, if you have created a script, you won’t need anything extra to run it on any platform supported by Python.
Initialize and update Anaconda
If there are no errors, it means that the installation of Conda was successful.
Python is usually installed in Mac OS X. However, you might require a newer version of Python. Here is how you can download and install Python on Mac OS X:
Ubuntu LTS comes with pre installed Python 2.7 and Python 3.5 However, if your system doesn’t have it or you just wanted another version of Python, here is how you can do it:
$ sudo apt-get update
$ sudo apt-get install Python3.6
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Knowledgehut is known for the best training. I came to know about Knowledgehut through one of my friends. I liked the way they have framed the entire course. During the course, I worked a lot on many projects and learned many things which will help me to enhance my career. The hands-on sessions helped us understand the concepts thoroughly. Thanks to Knowledgehut.
The teaching methods followed by Knowledgehut is really unique. The best thing is that I missed a few of the topics, and even then the trainer took the pain of taking me through those topics next day. I really look forward to join KnowledgeHut soon for another training session.
The hands-on sessions helped us understand the concepts thoroughly. Thanks to Knowledgehut. I really liked the way the trainer explained the concepts. He is very patient.
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.
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
The capital of the Australian state of Queensland, Brisbane is a sprawling metropolis that is a thriving commercial centre and tourist destination. Its famed skyline has few rivals, and the modern infrastructure and high standard of living make it one of the best Australian cities to live in. The city is on a low-lying floodplain in the Moreton Bay Area and is famous for the pristine ‘Gold Coast’ in the Southern edge of the city. Brisbane is also an emerging hub for developers and coding professionals who are looking to take the next step in their career. There are regular Python conference/meetups in Brisbane featuring some of the best developers in the region.
In order to become a successful developer, you must be highly skilled at the best programming languages. This is a critical qualification for reaching the top end of the corporate hierarchy. One of the most popular coding languages today is Python, which is now being used by the best companies in the world to build cutting-edge digital solutions. This course will enable you to learn everything you need to become a Python developer and opens the door to a very lucrative career in the IT sector. The average Python developer salary in Brisbane ranges from $45,000 a year for beginners to as much as $200,000 a year for experienced developers.
This Python programming course in Brisbane by KnowledgeHut is one of the most comprehensive Python certification courses in the world. The curriculum includes thorough sessions on Python fundamentals, data structures, conditional statements, modules, regular expressions and more. You will have 24 hours of instructor-led training sessions coupled with 22 hours of hands-on training on Python. The course also includes over 100 hours of MCQ’s and assignments so that your learnings are truly tested. Python certification will make you a strong candidate in the eyes of companies hiring Python developers in Brisbane, and it is a tried and tested route to success for data scientists, programmers, web developers and engineers, beginners and professionals alike.
KnowledgeHut has built a reputation as one of the world’s leading providers of online certification courses. It has been recognized by global institutes such as the Project Management Institute and the Scrum Alliance. The institution has structured its courses to impart thorough learning by training students on real-life scenarios rather than just textbook learning. This helps our students jump quickly into real-world situations and display the expertise that they’ve honed during the Python training course. In this manner, KnowledgeHut has helped over 120,000 students around the world better their career prospects and learn new and exciting technologies and methodologies. So, what are you waiting for? Enrol at KnowledgeHut today and learn all there is to know about Python.