Python Certification Training in Berlin, Germany

Learn Python Programming Language from Basics to Advanced

  • 24 hours of Instructor led Training
  • Immersive hands-on training on Python Programming
  • Learn Python Programming core concepts-control flow, operators, functions, syntax & indentations
  • Learn Best Python Coding Practices
Group Discount

Description

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.

Do you know what exactly is Python?

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.

What Programming skills will you learn with this Python Certification Training Online?

  • 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

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

Chapter No

Python Tutorial Chapters

1

Python - Introduction

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

Python - Getting Started

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

Python - Basic Syntax

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

Python - Variables

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

Python - Numbers

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

Python - Strings

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

Python - List and Tuple

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

Python - Dictionary

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

Python - Sets

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

Python - Operators

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

Python - Loops

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 – Built-in Modules

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

Python - Custom Modules

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

Python - Packages

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

Python - Exceptions

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

Python - FileIO

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

Python - CSV

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

Python – Tkinter

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

Python - OOP

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

Python - Decorator

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

Python - Inheritance

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

Python - Magic Methods

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

Python - Regex

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

Python - CGI

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

Python – Send Mail

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

Python - Object serialization

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

Python - Multithreading

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

Python - XML

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

Python – Socket Module

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

Python - Dataclasses

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. 

Why Python Certification?

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

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

Jumbled Word

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.

Read More

Dice Rolling Simulator

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.

Read More

Tic-Tac-Toe

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.

Read More

Calculator

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.

Read More
Note:These were the projects undertaken by students from previous batches.  

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.

Python Certification Process

What is Python

Python has become one of the most popular programming languages used by developers across the globe. Its syntax is similar to the English language that makes it very easy to learn. Along with built data structures, the dynamic building and typing makes Python particularly effective for Rapid Application Development. The standard libraries offered by Python make it stand out from other programming languages. 

In the late 1980s, Python was first conceptualized by Guido Van Rossum while he was working at the National Research Institute of Mathematics and Computer Science as an implementer of the ABC programming language. Rossum started on a scripting language that would resemble the ABC language and at the same time be able to access the AMOEBA system calls. He created Python as an alternative to ABC. In 1991, he released the initial version of Python under the name ‘Modula 3’.

Python was named after the hit 1970s comedy show on BBC, ‘Monty Python’s Flying Circus’. He found the name ‘Python’ short and mysterious and thus, named his pet project after it.

Python is the most popular programming language used by beginners and experts alike. The reasons behind this popularity are:  

  • Community: The community of Python has members from all across the globe who post open-source projects on the forum. You can easily integrate these into your own projects.
  • Corporate sponsor: Python is supported by Google, just like how C# is backed by Microsoft. Google uses the language itself and regularly posts updates and guidelines for professionals, amateurs and experts, to help them fine-tune programming skills. 
  • Academics: Python and its libraries are used for powering and researching fields like data science, machine learning, etc. because of its utility in general purpose tasks. 
  • Efficiency: Python can be deployed in any environment without making any changes in the script with no performance loss. This makes it a very versatile and efficient language.  
  • Learning: The Python’s syntax resembles the English language which makes it very easy to learn, read, and implement. It also has a gradual learning curve.

Python is one of the most used languages today. So, if you want to get into programming, you should start with Python. Here are the top reasons to learn Python:  

  • Ease of learning: Firstly, because of its syntax, the language is easy to read and learn. 
  • General-purpose: Python is applied in several fields ranging from data to machine learning to web development and cloud computing. This is all because of its general-purpose tasks utility. 
  • Big community: The community of Python is huge and for that reason, users can regularly get updated information and stable packages to be integrated into their projects. 
  • Flexibility: Python can be used with other programming languages that make it more flexible. 
  • Business use: More and more management and non-technical professional are starting to understand the importance of Python in fields like data science and machine learning.

Here is how you can get started with Python programming language:  

  1. Understand why Python: You need to stay motivated and focused to learn Python. For this, you must know why you want to learn Python and where you are going to implement that knowledge.
  2. Install Python: Use the official website of Python or the Anaconda package manager for installing Python.
  3. Use IDE: Integrated Development Environment helps with debugging. As a beginner, you are more likely to make mistakes, and hence, it is important that you learn from them and try to rectify those. 
  4. Learn basics: Next, you need to start learning the fundamentals of Python like lists, variables, functions, tuples, etc. For this, you can take the help of several blogs, videos, and courses available online.
  5. Implementation: This is the most important step required to learn Python. Until you have implemented your programming skills, you won’t be able to completely understand the concepts of Python. You can try working on your own projects or just take assignments from online courses. You can also join bootcamps in Berlin to build some real-life projects to broaden your experience.

To learn Python fast, you should try the following tips:  

  • Help in Python: To know how an object works, you should try the help() function. 
  • Indentation: Indentation is used in place of curly braces for defining the scope of a code block. 
  • Data types: Thorough knowledge of data structures like lists, tuples, and dictionaries is required. 
  • Flow control statements: You must also have an understanding of how control flow statements work like if, for, while, and range(<number>). 
  • Functions and classes: Python has def keyword for functions and for classes, it has class. 
  • Exceptions: Exception handling can be done by Try-except. 
  • I/O: File handling is dealt with using built-in libraries. 
  • Importing libraries: External libraries are imported by using the 

  import <library> or from <library> import <function> keyword.

Python Certification in Berlin, Germany

No, Python programming language is not difficult to learn. The syntax of the language resembles the English language that makes it easy to learn. The functions and libraries offered by Python make programming easy and efficient. 

Yes, Python programming language is easy to learn for beginners. Below are the top reasons that make it easy for beginners to learn Python:  

  • It is a very efficient programming language as it provides a simple and effective approach to programming through its data structures.
  • Since it is object-oriented in nature, it creates a base for other object-oriented programming languages as well.
  • The libraries offered by Python increase efficiency, reduce complexity, and save time.
  • It is very easy to learn as its syntax has similarity to the English language.
  • Unlike other languages, it has a gradual learning curve.
  • You can find a ton of resources available on Python that will help you learn the language.

Simply learning the syntax of Python takes 1 month for professional programmers. However, for a beginner who is completely new to programming, learning Python takes 3 months, if they spend 4 hours/ day. The following is a list of topics which are generally the most time-consuming:  

  • The ‘os’, ‘sys’, ‘argparse’ module usage
  • ‘List’ data structure in Python
  • Understanding ‘slicing’ in Python
  • Implementing ‘set’ and ‘dictionaries’ in Python
  • Understanding memory management
  • File Input/Output
  • Importing/Exporting

Below are the 4 best ways to learn Python programming language in 2019:  

  • Complete Python Bootcamp: Go from zero to hero in Python 3: This 24-hour long course offered by Udemy is for beginners. During the course, you will be covering basic concepts like classes, decorators, etc. as well as how to develop games using Python. 
  • KnowledgeHut: This Python certification program from KnowledgeHut will help you learn best Python coding practices and its libraries like SciPy, Matplotlib, Scikit-Learn, Pandas, NumPy, Lambda functions, and Web Scraping. The course also includes immersive hands-on training on Python Programming. 
  • Google's Python Class: Offered by Google, this course teaches you the fundamentals of Python as well as advanced libraries like HTTP, IO, etc. using its written materials, lectures, and coding exercises.
  • Full Stack Python: Best Python videos: This course can be used by beginners as well as experts as the video tutorials cover basics as well as advanced concepts.

How to Learn Python in Berlin, Germany

Below are the steps to start learning Python the right way:    

  • Figure out what motivates you: Create an end goal. This helps you stay focused, motivated, and moving in the right direction. To accomplish this, you must know which field interests you. The fields that use Python include: 
    • Data Science
    • Machine Learning
    • Web Development
    • Games
    • Mobile Applications
  • Learn the basic syntax: Start learning the syntax of Python. Since it resembles the English language, it won’t take much time to cover the concepts and start writing simple programs.
  • Develop Structured projects: After learning the basics, you can start working on your own projects. Developing your own projects is essential to understand if you are able to apply basic Python knowledge effectively. Working on your own projects also helps you in retaining knowledge and information that you have learnt.

   

Python version-2 is still used in several projects. So, if you want to learn Python version-2, here are the 3 best ways to do so:  

  • Python 2 Course: This is a self-study course that allows students to explore the course themselves. The website has an online interpreter that allows you to practice your implementation skills. It can be used by beginners as well as experts. 
  • Python 2.7 Tutorial: Created for beginners, this free and concise tutorial is based on the Python content of the YouTube channel, mybringback. It provides both online videos and learning materials. 
  • Learn Python 2: This is a 22-part course created by combining two courses - Google’s Python class and Django girl’s Python tutorial. There are no prerequisites for the course. It will take 3 to 4 weeks to finish the course.

Below are the 5 benefits of learning Python over other programming languages:  

  • Its utility for general purpose tasks makes it suitable for working in projects of fields like big data, data mining, and automation.
  • Since it is very easy to learn, it is recommended for coders as well as researchers.
  • The language is kept up-to-date by its huge, global, open-source community that is working on making the language better and more stable.
  • Most of the frameworks that are used for development are powered by Python.
  • Python gives the coders the environment for more productive coding.

Below are the 4 best resources to learn Python:  

  • Learn Python 2 - Codecademy: This 25-hour course does not require any prerequisites and covers all the essential fundamentals of the Python programming language.
  • Real Python: This course of Python covers the implementation of Python in web development. You will also be learning about frameworks used in web programming like Flask, Django, and web2py.
  • Learn Python, it's cake - Udemy: This 7-hour long, free course is for people who have zero experience in coding.
  • Python for entrepreneurs: If you want to implement Python in your business, this 19.6 hours long course is for you. It costs $89 USD.

 

If you have zero experience in programming, you can learn it in the following 5 steps:  

  • Find motivation: Before starting with anything new, it is customary to identify why you want to do it in the first place. Same goes for learning Python. Since, the programming language in itself is huge, you might end up losing interest midway through the course. So, it is important to create a list of reasons why you want to learn Python-3.
  • Learning basics: Next step is to start learning the basics of Python. This includes syntax, data structures, etc. Here are 2 courses that can help you cover the fundamentals of Python:
  • Implementation: Next step is to start coding. Practice as much as you can. Start working on your projects or find alternate solutions to existing ones. This doesn’t have to be big. Begin with something small like an automation script and then move on to complex projects. 
  • Social coding: After this, you need to start working on more open-source projects. This will help you gain an understanding of how industry-grade projects work. With this, you will also be able to create your networks.
  • Competitions: To practice your programming as well as problem-solving skills, you can try participating in online competitions. In such competitions, you have to find a solution to a problem in a fixed amount of time that satisfies all the given restraints.

Here are the 7 steps that can help you learn Python for data science:  

  • Step 1: The first step is setting up the environment required for running Python scripts by downloading Python. 
  • Step 2: Start covering the basic concepts of Python, including the functions, tuples, lists, and various libraries. 
  • Step 3: Gather your data. Cleaning up input data is a necessary step in Data Science. Since most of the data is in unstructured form, you need to learn how to take data in different formats and make it ready for analysis. 
  • Step 4: Learn about the libraries used in data science like NumPy, SciPy, scikit-learn, matplotlib etc. 
  • Step 5: This step involves learning the applications of matplotlib library for data visualization. 
  • Step 6: You need to have machine learning skills to work in the field of data science. These skills will help you create your ML model. Scikit-learn is the library used for this purpose.
  • Step 7: Try participating in online competitions like Kaggle that will help you work on your data science skills.

Python Developer Salary in Berlin, Germany

The average salary of a Python Developer in Hamburg is €46,597, which is less than that of Berlin, which is €47,794. 

https://www.payscale.com/research/DE/Job=Software_Developer/Salary/d53c6510/Hamburg 

A Python developer in Berlin can earn an average of about €47,794, which is less than that of Frankfurt, which is €59,994. 

https://www.payscale.com/research/DE/Job=Software_Engineer/Salary/5d9de127/Frankfurt-am-Main-Python

In Berlin, a Python developer earns €47,794 every year as opposed to the average annual remuneration of a Python developers working in Munich, which is €50,279.

https://www.payscale.com/research/DE/Job=Software_Developer/Salary/2590b88b/Munich-Python 

In Berlin, there are several organizations that have started to understand the potential of data. And Python is the most commonly used language for data analysis. Needless to say, this has increased their demand. Companies like JustWatch, Xain, Fit Analytics, Close2Real, Crealytics, MicroPsi Industries, DataTroniq, Adjust, etc. are willing to pay hefty salary and added bonuses to Python developers.

If you are a Python Developer, you can enjoy the following benefits:

  • Multiple job opportunities
  • High income
  • Job growth

A Python developer in Berlin has several advantages and perks apart from their salary. First thing, Python is used in multiple projects across various domains. So, they have the freedom to select the field they are interested in. Also, Berlin offers several opportunities for Python developers to network through conferences, meetups, and tech talks.

Companies like Zalando, CeleraOne GmbH, Pandata, AMBOSS, Kayak, Kupfer Software, etc. are looking for Python developers to join their team in Berlin.

Python Conferences in Berlin, Germany

S.NO.CONFERENCE NAMEDATEVENUE
1.PyCON DE and PyData Berlin
October 9-13, 2019

Kosmos, KARL-MARX-ALLEE 131A BERLIN, 10243

1. PyCON Berlin  

  • About the PyCON: Python Conferences, or PyCon, are conferences about Python usually done by grassroots volunteers in different cities within a certain geographic area.
  • Event Date: October 9-13, 2019
  • Venue: Kosmos, Karl Marx Allee 131A, Berlin 10243
  • Days of Program: 5 Days
  • How many speakers: Will be selected.
  • With whom can you Network in this conference: You can interact with both experts and beginners to explore Python as a programming language and learn new things.
  • Registration cost: Standard- €350
  • Sponsors: 
  • Deloitte
    • Jet Brains
    • Yelp
    • Idealo
    • ROSEN
    • Shopify
    • BlueYonder
    • Stackfuel
    • Infarm
    • KONIGSWEG
    • FREENOW
    • Flying Circus
    • Ebay TECH
    • Solute
    • Qt
    • Novatec
    • EuroPython Society
    • Pyladies
    • Python Software Foundation
S.NO.CONFERENCE NAME
DATE
VENUE
1. Pydata 2018
October 9-13, 2018

Charite Campus, Berlin, CVK Forum, 13353, Weststrabe, Berlin 

1. PyData 2018  

  • About the PyData: PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. It gathers to discuss how best to apply Python tools, as well as tools using R.
  • Event Date: October 9-13, 2018
  • Venue: Charite Campus, Berlin, CVK Forum, 13353, Weststrabe, Berlin 
  • Days of Program: 5 Days
  • Registration cost: Standard- €350

Python Developer Jobs in Berlin, Germany

Berlin is home to leading tech companies, such as Google, Apple, Facebook and SoundCloud, etc. and more than 3000 startups. Python is the general-purpose programming language. So, almost all IT firms in Berlin are looking for Python developers. This has increased the job opportunities for Python developers in Berlin.

The following companies in Berlin are hiring Python developers:

  • Micropsi Industries
  • Jobpal
  • MoBerries
  • Darwin Recruitment
  • Bonial International Gmbh

A Python developer is responsible for the following:

  • Writing and testing the code
  • Debugging
  • Integrating the code with the application
  • Implementation of security and data protection

Learn Python Programming in Berlin, Germany

Below are the main reasons why one should learn Python Programming:  

  • Since it is a popular programming language, the average Python developer salary is quite high. 
  • Performing cross language operations in Python is easy because of its portability and extensibility. It is the reason why major platforms like Mac, PlayStation, Linux, and Solaris use Python.
  • It has an easy syntax which makes it the most preferred language among developers. Also, it is free, high-level, interpreted and object-oriented programming language that has the support of a big, open-source community.
  • It is used in several web development frameworks like Django, web2py, etc. that make the whole development process smoother.
  • Tkinter is the GUI library of Python that can be used for creating smooth interfaces in desktop applications. Also, for developing games, ‘pygame’ module of Python can be used.
  • Python can also be used for testing networks as it allows faster workflows and debugging.

Follow the below 4 steps to create your first program in Python:

  • Step 1: Type the command – Python—version to check if Python is installed in your system or not. 
  • Step 2: Open a text editor and type the code in it. For example,

  print “Hello world!”  

  • Step 3: Use the .py extension to save the file as <filename>.py. 
  • Step 4: Open the command terminal or prompt use the command <filename>.py to run the file.

  Output: Hello world!

Here is how you can run a Python program in 2 different ways:  

  • Through a Python shell
    • Open up the IDLE (Python GUI) file
    • Write your Python script and press enter
  • Through a file
    • Write the script in a text editor and save the file with .py extension.
    • Open the terminal and go to the location where a file is stored.
    • Use the following command to let your system know that the file is an executable program.
      • Chmod a+x filename.py 
    • Use the command ./filename.py for running the program.

Try one of the following options to run a Python script on Windows:  

  • Through the Python REPL (interpreter)

  If Python executable binary is in the classpath, you can just type Python to enter the REPL shell.  

  • Through a Python program file 

  If Python executable in the windows classpath, fire up a command prompt and go to the directory where the file is stored:  

  • For example:

  >> C:\Users\y\hello.py   - For Windows $ /usr/bin/hello.py          - For Linux (Ubuntu)

To run Python scripts on Mac OS X, follow these steps:  

  • Create a script in the document editor. 
  • You need to ensure that shell search path has /usr/local/bin to run the script from the Terminal window. 
  • To run Python script from the Finder, use one of the following: 
    • Dragging it to the PythonLauncher
    • Making PythonLauncher as the default application.

 

Python Applications

Python is a dynamically-typed programming language that covers an enormous spectrum of uses in real-world software development. Here are the top 4 applications of Python in the real world:  

  1. Web application development: Frameworks like Flask, Bottle, Pyramid and Django are used to communicate between the content management and interfaces/protocols smoothly. These frameworks are built on Python.
  2. Academics: Libraries offered by Python like Pandas, Numpy, SciPy, Scikit-learn, etc. can be used for academic projects and research purposes. 
  3. GUI-based applications: GUI libraries can create desktop applications with smooth interfaces.
  4. Business and enterprise applications: It is used for creating and supporting e-commerce and ERP applications because of its scalability, extensibility, and readability offered by libraries like Odoo and Tryton.

The following companies use Python in Berlin:  

  • Motionlogic
  • PeopleDoc – Berlin
  • IC Creative
  • Fit Analytics

Python Setup

To get a Python script running on your system, all you need to do is install Python on your system depending on your operating system. After this, you can use Python script irrespective of the platform.

For downloading and installing Python 3 in Windows, you need to follow the below-mentioned steps:  

  • Visit the link:
  • According to the operating system you are working on, select the download. 
  • Start installing the Anaconda Package. The entire process will be finished in about 10 minutes. 
  • Initialize and update Anaconda
    • From the Application Launcher window, select the Conda option. 
    • To check whether Conda is installed in the system or not, fire up the command line window and type in the following command:
      • Conda -V
    • Use the following command to ensure that Conda version is up to date:
      • Conda update conda
      • Conda update anaconda

For downloading and installing Python on Mac OS X, you need to follow the following steps:  

  1. Install Xcode: Install Xcode by typing in the command:

$ Xcode-select --install

  1. Install brew: Install Homebrew, Apple;s package manager by using the command:

/usr/bin/ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)" To confirm the installation, type the command ‘brew doctor’.

  1. Install Python 3: Use the following command:

brew install Python.

To download and install Python on Ubuntu in 3 easy steps, here is what you need to do:  

  • The first step is updating the apt-get package. Type the following password and enter password when prompted:

  $ sudo apt-get update  

  • For installing Python 3.6, use the following command:

  $ sudo apt-get install Python3.6  

  • Use the following command for running Python 3.6 on your system:

  $ Python3

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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 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. 

Finance Related

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..

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

Have More Questions?

Python Programming Course in Berlin

As a student, you want to live in a city that offers the best technological, infrastructure, and economical support while at the same time offering a multicultural outlook for you to grow and succeed. A city that offers all this and much more is Berlin, which besides housing renowned universities, also gives the experience and opportunity that you crave. Being the financial capital of Germany, it houses major corporations in the transportation, life sciences, information technology, automobile, and telecom sectors such as Daimler, BMW, Bayer health care, Siemens and others. This futuristic city also takes pride in its history, you will be surprised at the seamless way in which modern and ancient architecture coexist alongside. Germany?s booming economy has opened up several jobs in the IT sector and professionals armed with the right qualifications can watch their career sore. KnowledgeHut helps you on this journey by offering courses in PRINCE2, PMP, PMI-ACP, CSM, CEH, CSPO, SAFe Agilist, PgMP, Android development, financial courses and much more. Note: Please note that the actual venue may change according to convenience, and will be communicated after the registration.