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Ten Things You can Do With Python
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PYTHON TRAINING IN VIJAYAWADA
Python Training in Vijayawada
Python is a high-level programming language for general purpose programming. It is the perfect language for someone trying to learn computer programming for the first time. Guido van Rossum created Python programming in 1991. Python is an open source programming language. Many applications like web, games, software development, Object Databases, Network Programming, Mobile applications and many more can build using python programming. Python programming supports both structured and object-oriented programming. Python Training Course – Objective Python programming language training main objective for the student is to develop primary programming skills up to the higher end to solve the different programming logic. A student can able to write a different type of logic at the end of the sessions. After learning python programming language course, the student can able to build web applications, database access and data analysis. Few applications which make using python programming are YouTube, Dropbox, Google, Quora, Instagram, BitTorrent, Spotify, Reddit, Yahoo Maps, Hipmunk, Pinterest, NASA, Bitbucket. After completing the python training, a student can able to attend any MNC Company interview and can solve the technical rounds both theoretically and practically. A student can able to build web pages and host in cloud servers which can be accessible by anyone in the world. Why Python Training is required? Python has topped the charts in recent years when compared to programming languages like C, C++ and Java are widely being used by the programmers these days. Nowadays everything is related to data; the future is entirely on data so for manipulating or processing the information we need to upgrade our skills. Python is the best programming language for processing the data in various stages. Python programming has a unique feature of integrating with any programming language. You can design a project frontend with PHP and integrate backend with python. Advanced technologies like NLP, AI, and Machine Learning are built using python. Education at CodeGnan will assure you, the ability to code application by the end of the Python training. Advantages of Python Programming Python’s syntax is simple to learn, so both non-programmers and programmers can right away start programming in it Python is developed under an OSI-approved open source license, which makes it easier to use and distribute, including commercial purposes. It provides large libraries that include fields like string operations, web service tools, operating system interfaces etc. Python has built-in list and dictionary data structures which can be used to construct fast runtime data structures. Syntax for python is easy to learn, hence programmers and even non-programmers can start programming right away. Why CodeGnan to be chosen to learn Python in Vijayawada? We as a team of real-time industrial experience with a lot of knowledge in developing applications in python programming (7+ years) will ensure that we will deliver our best in Python Training in Vijayawada, and we believe that no one matches us in this context. CURRICULUM Course Syllabus Z Part 1 Introduction to Python. Who is using Python today? Installation and setting up environment. Basic syntax. Built in data types. Z Part 2 Basic operators. Decision making. Loops. Numbers. Strings. Lists. Z Part 3 Tuples. Sets. Dictionary. Date and Time. Functions. Modules. Z Part 4 Packages. Sending Email. WhatsApp Message. Facebook Message. Files. Exceptions. Z Part 5 Classes. Regular Expressions. Database Access. Networking. Building Microservices. Working with git.
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Python is a high-level programming language for general purpose programming. It is the perfect language for someone trying to learn computer programming for the first time. Guido van Rossum created Python programming in 1991. Python is an open source programming language. Many applications like web, games, software development, Object Databases, Network Programming, Mobile applications and many more can build using python programming. Python programming supports both structured and object-oriented programming.
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With over two decades, we are bringing international teaching standards to the tech aspirants globally. Nurture your inner coder with us and take a charge of your coding career with the top trending and high paying technologies. We provide Python Training, Data Science Training, Machine Learning Training, Web Technologies Training, Computer Vision Training, Java Training, Data Analysis Training, NLP Training, R Training and more
#PythonTraining#DataSciencetraining#NLPtraining#DeepLearningTraining#MachineLearningTraining#Python#DataScience#DataAnalysis#DataAnalysisTraining
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PYTHON TRAINING IN VIJAYAWADA
Python Training in Vijayawada
Python is a high-level programming language for general purpose programming. It is the perfect language for someone trying to learn computer programming for the first time. Guido van Rossum created Python programming in 1991. Python is an open source programming language. Many applications like web, games, software development, Object Databases, Network Programming, Mobile applications and many more can build using python programming. Python programming supports both structured and object-oriented programming.
Python Training Course – Objective
Python programming language training main objective for the student is to develop primary programming skills up to the higher end to solve the different programming logic. A student can able to write a different type of logic at the end of the sessions. After learning python programming language course, the student can able to build web applications, database access and data analysis. Few applications which make using python programming are YouTube, Dropbox, Google, Quora, Instagram, BitTorrent, Spotify, Reddit, Yahoo Maps, Hipmunk, Pinterest, NASA, Bitbucket. After completing the python training, a student can able to attend any MNC Company interview and can solve the technical rounds both theoretically and practically. A student can able to build web pages and host in cloud servers which can be accessible by anyone in the world.
Why Python Training is required?
Python has topped the charts in recent years when compared to programming languages like C, C++ and Java are widely being used by the programmers these days. Nowadays everything is related to data; the future is entirely on data so for manipulating or processing the information we need to upgrade our skills. Python is the best programming language for processing the data in various stages. Python programming has a unique feature of integrating with any programming language. You can design a project frontend with PHP and integrate backend with python. Advanced technologies like NLP, AI, and Machine Learning are built using python. Education at CodeGnan will assure you, the ability to code application by the end of the Python training.
Advantages of Python Programming
Python’s syntax is simple to learn, so both non-programmers and programmers can right away start programming in it Python is developed under an OSI-approved open source license, which makes it easier to use and distribute, including commercial purposes. It provides large libraries that include fields like string operations, web service tools, operating system interfaces etc. Python has built-in list and dictionary data structures which can be used to construct fast runtime data structures. Syntax for python is easy to learn, hence programmers and even non-programmers can start programming right away.
Why CodeGnan to be chosen to learn Python in Vijayawada?
We as a team of real-time industrial experience with a lot of knowledge in developing applications in python programming (7+ years) will ensure that we will deliver our best in Python Training in Vijayawada, and we believe that no one matches us in this context.
CURRICULUM
Course Syllabus
Part 1 Introduction to Python. Who is using Python today? Installation and setting up environment. Basic syntax. Built in data types.
Part 2 Basic operators. Decision making. Loops. Numbers. Strings. Lists.
Part 3 Tuples. Sets. Dictionary. Date and Time. Functions. Modules.
Part 4 Packages. Sending Email. WhatsApp Message. Facebook Message. Files. Exceptions.
Part 5 Classes. Regular Expressions. Database Access. Networking. Building Microservices. Working with git.
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Codegnan Vs Excelr | Data Science institute in Bangalore | Best Data Sci...
#dataanalyticscourseinbangalore #dataanalyticscoursewithplacementinbangalore #dataanalyticscoachinginbangalore #bestinstitutefordataanalyticsinbangalore
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Top 7 Technologies uses JavaScript. Comment "YES" if you wanna learn Java Script!!.
More Boot Camps coming soon. Watch this space.
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Who are Data Analysts? What is the average salary of Data Analyst?
Who are Data Analysts?
Data analysts are those analysts whose work is to translate figures from complex English to normal English.
Every trade, business, company or organization gathers data and information that would include sales, profits, losses, logistics, transportation costs, equities, dividends, liabilities, assets or any data dealing with figures.
Data Analyst’s Role and Responsibility
The job of these data analysts is to convert all these figures or numbers into simple English and present them in front of the audience so that it is understandable.
Not only this, but their responsibility also involves using all these data or figures, analyzing them and then using it to assist the companies or organizations to enhance their business strategies and take impactful decisions based on these data or figures.
For example, the data analysts can analyse a data based on the transportation costs derived from the company’s accounting books and can come up with the strategy on how to improvise or reduce the costs of it but still keeping the quality of transport intact.
This involves a lot of research intellectually as well as physically wherein the data analyst can liaise with several members from the transport team, understand their nature of work, amount of labor required, where there is a scope of improvement and where capital can be saved that would benefit the organization.
All these types of job are conducted by the data analysts.
Skill needed to work as a Data Analyst?
Depending on the experience or expertise of a data analyst, they can be placed at the following divisions or sectors to work on:
1. IT Teams
Yes, data analysts can also be a part of IT Teams. They can work with the IT professionals to understand their nature of work and research on determining the best organizational goals in terms of IT investment.
As most of the organizations in the present day are focusing to enhance their technological aspect, these data analysts play a vital in determining and taking effective investment decisions for the organization.
2. Data Mining
Data analysts can also be a member of the data mining department. As these teams mostly work on assembling data from different sources or source systems, the data analyst can contribute their unique or creative ideas to reduce the workload, which in fact will reduce the workaround time.
This will ultimately benefit the organization by introducing cost-effective technologies in place that can reduce manual labor and promoting healthy working hours for the employees along with positive culture too.
3. Statistical teams
Relating to data mining, these teams are responsible to provide the statistical analysis about the company’s growth and earning on a yearly basis.
These processes are quite complicated as they have to rely on a lot of teams to gather enough amount of data to analyse it. Firstly, they have to identify if the gathered data is accurate or not, if yes, they can continue further to validate this data with the ones they have.
Any discrepancies in data again involve further analysis which is usually conducted by experienced individuals. All these analyses can be performed by the data analysts in order to assist them in taking an effective decision for the team and company. The work of these data analysts will definitely make a positive impact on the team.
4. Business Analytics
Business analytics team are considered as the game-changing the team for any organization. Their job is to collaborate with all the teams who are looking for process enhancement and developments but are unable to do so due to an insufficient amount of knowledge or resource.
The members working in these teams are highly talented and knowledgeable who would sit next to you and learn what you do in order to understand the workflow of your process. Then, their analysis begins by understanding the nature of your work and how it can be modified using technology.
The members working in these teams are highly talented and knowledgeable who would sit next to you and learn what you do in order to understand the workflow of your process. Then, their analysis begins by understanding the nature of your work and how it can be modified using technology.
5. Data Science
Members working in these teams are responsible to understand the workflow of the data management flow within the company. They are responsible for maintaining consistent inflow and outflow of data coverage within the company to run the show.
Data analysts can liaise with these teams to understand their nature and sensitivity of the work they do and they can research on how to make this process uniform and transparent. All these teams rely on huge databases to feed in the data and manage the enormous amount of data stored.
These data analysts can come up with a unique strategy to properly manage and maintain these data sets in order to mitigate all sorts of risk involved and benefit the organization to a great extent. The work is quite extensive and rigorous in nature but these analysts can help in reducing the workload of the individuals.
6. Correlations team
This is the base team for any small or big organization as their job is to maintain proper and stable relationships within the teams in the organization by maintaining complicated data sets. As most of the teams have common databases that they use, it becomes difficult for any specific team to maintain or handle such databases.
There is always a possibility of data mismatch because of this usage of the same databases by different teams. These data analysts can liaise with the respective teams and work on stabilizing such processes to bridge the gaps.
Again, this process also involves a lot of research and patience as you have to liaise with multiple teams, a different set of people, and different nature of work and so on. Designing rational databases or systems would definitely benefit the organization as well as the team to maintain a stabilized flow of work.
What is the average salary of a Data Analyst?
Salary ranges are literally the hot topics discussed among every individual who is aspiring to be a data analyst. This would certainly depend on the experience and expertise you have and what kind of data analyst you would want to be.
Read the full article here: https://codegnan.com/blog/who-are-data-analysts-and-average-salary
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Why Data Science is one of the Best Career Options on 2021?






#pythoncode#pythonprogramming#pythonprojects#pythonlearning#pythondeveloper#pythoncoding#pythonprogrammer#coder#developer#developerlife#codegnan
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Student: Bhavika Gujare
Boot Camp: National Level Python MTA.
We at CodeGnan are determined to deliver quality training to the deserved. .Do you know what keeps us motivated? It is the positive feedback that we receive. Listen to the true words of our trainee who has completed her Python Boot Camp.
#PythonTraining #PythonProgramming #Testimonial #Codegnan #CodegnanITSOlutions #Testimonial #CodegnanTestimonial
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Know more about Data Analysts and their average salary. Data analysts are those analysts whose work is to translate figures from complex English to normal English. v
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Know more about Data Scientists, average salary of Data Scientist and their roles and responsibilities and what skills do Data Scientists have? And How Codegnan helps you to become Data Scientist
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Know more about Data Engineers and Average Salary of Data Engineers. The data engineers are usually a member of the analytics team who provide readily processed data to the scientists or analysts, who would then just run queries using the tools that these engineers designed
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"These are the 10 Best Programming Languages for best use of Data Science. If you have made your mind to study and work in the field of data science, then here are a few languages that you would like to start with.
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