Learn to program in Python (English)

• Introduction to algorithms
• Introduction to Python
• Basic data types
• Program structures
• More about sequences and strings
• More about lists
• Bits and bytes
• Files

• Encoding
• More about dictionaries, tuples and sets
• Functions
• Modules
• Exceptions
• Global overview of the Python Standard Library
• Introduction to object orientation
• Object orientation and classes in Python

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• Introduction to algorithms:
  • algorithms for everyday human versus programming algorithms. The life cycle of computer programs.
• Introduction to Python:
  • Positioning, properties, applications, practical use, version2 vs. version 3, Python shell, scripting.
• Basic data types:
  • Constants and variables. Data types. Choosing names. Comment notation. Strings and numbers. Expressions and operators. Elementary string operations. Cutting slices. Overview of the data types and their properties. References. Mutable vs. immutable.
• Program structures:
  • Indentation as block structure, code style (PEP8). Booleans. Extensive coverage of control structures if-elif-else, for-else and while-else. break and continue statements. enumerate and range functions. Best practices. Introduction to exception handling (EAFP). Dummy statement pass.
• More about sequences and strings:
  • Operations on sequences. Specific string methods. Two ways of string formatting.
• More about lists:
  • Specific list methods. Operators for lists. List comprehension. The sorted and reversed functions.
• Bits and bytes:
  • Decimal, binary, octal and hexadecimal representation. String formatting for these representations. Bit manipulations (and, or, xor, shift). Introduction to encoding. Little versus big endian (endianess).
• Files:
  • Binary versus text files. Open modes. Reading from and writing to files. Changing the current offset. Using stdin, stdout and stderr.

• Encoding:
  • Unicode sandwich. Encode versus decode. Different encoding standards. Default encoding. The ‘bytes’ and ‘bytearray’ data types.
• More about dictionaries, tuples and sets:
  • Applying dictionaries. Methods for dictionaries. Applying tuples and tuple notation. Using sets and frozensets.
• Functions:
  • Purpose and definition. Calling a function. Docstrings. Parameter passing and default values. Call-by-value versus call-by-reference. Return values.
• Modules:
  • Applying modules. Importing modules. Provenance of modules. Test code in module. Docstrings.
  • More about functions:
  • Nested function definitions. Name spaces. Scope rules and examples. Function as parameter. Standard functions map and filter. Lambda expressions. Generator functions.
• Exceptions:
  • EAFP motto (Easier to Ask for Forgiveness than Permission). Standard exception types. Own exception types. Catching exceptions. Actions upon catching exceptions. Generating exceptions with raise. Statement with.
• Global overview of the Python Standard Library:
  • Accessing command line parameters. Program exit. Time functions. Filename-globbing. File system tree walk. Using subprocesses. Elementary network facilities. Serialisation.
• Introduction to object orientation:
  • Classes and instances. Data abstraction. Inheritance, Polymorphism. Dynamic binding. Procedural versus object oriented programming.
• Object orientation and classes in Python:
  • Designing classes in Python. Constructor and destructor methods. Inheritance (derived classes). Polymorphism and dynamic binding. Special class methods. Operator overloading. Subclasses for built-in data types.